ACM SIGCHI 2023 - Preprints with CiteSee Enabled 📄👀

23-28 April 2023Hamburg, Germany | Hybridchi2023.acm.org
Practicing Information Sensibility: How Gen Z Engages with Online Information
Amelia Hassoun, Ian Beacock, Sunny Consolvo, B. Goldberg, Patrick Gage Kelley, D. Russell
Assessing the trustworthiness of information online is complicated. Literacy-based paradigms are both widely used to help and widely critiqued. We conducted a study with 35 Gen Zers from across the U.S. to... Expand
Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data Work
Jennifer Rogers and, Anamaria Crisan
TLDRA taxonomy of data work artifacts that captures AutoML and human processes and operationalize the taxonomy through the development of AutoMLTrace, a visual interactive sketch showing both the context and temporality of human-ML/AI collaboration in data work.Expand
A Human-Centered Review of Algorithms in Decision-Making in Higher Education
Kelly McConvey, Shion Guha, Anastasia Kuzminykh
TLDRIt is found that the models are trending towards deep learning, and increased use of student personal data and protected attributes, with the target scope expanding towards automated decisions, however, despite the associated decrease in interpretability and explainability, current development predominantly fails to incorporate human-centered lenses.Expand
Understanding and Supporting Debugging Workflows in Multiverse Analysis
Ken Gu, Eunice Jun, Tim Althoff
TLDRThis work identifies debugging as a key barrier due to the latency from running analyses to detecting bugs and the scale of metadata processing needed to diagnose a bug, and prototype a command-line interface tool, Multiverse Debugger, which helps diagnose bugs in the multiverse and propagate fixes.Expand
Aspirations and Practice of Model Documentation: Moving the Needle with Nudging and Traceability
Avinash Bhat, Austin Coursey, Grace Hu, Sixian Li, Nadia Nahar, Shurui Zhou, C. Kastner, Jin L. C. Guo
TLDRThis work systematically study the model documentation in the field and investigates how to encourage more responsible and accountable documentation practice and designs a tool named DocML aiming to nudge the data scientists to comply with the model cards proposal during the model development.Expand
GANravel: User-Driven Direction Disentanglement in Generative Adversarial Networks
Noyan Evirgen, Xiang Chen
TLDRGANravel is proposed, a user-driven direction disentanglement tool that complements the existing GAN architectures and allows users to improve editing directions iteratively.Expand
Model Sketching: Centering Concepts in Early-Stage Machine Learning Model Design
Michelle S. Lam, Zixian Ma, Anne Li, Izequiel Freitas, Dakuo Wang, J. Landay, Michael S. Bernstein
TLDRModel sketching is introduced: a technical framework for iteratively and rapidly authoring functional approximations of a machine learning model's decision-making logic using zero-shot concept instantiation.Expand
When do data visualizations persuade? The impact of prior attitudes on learning about correlations from scatterplot visualizations
D. Markant, Milad Rogha, Alireza Karduni, Ryan Wesslen, Wenwen Dou
Data visualizations are vital to scientific communication on critical issues such as public health, climate change, and socioeconomic policy. They are often designed not just to inform, but to persuade peo... Expand
iBall: Augmenting Basketball Videos with Gaze-moderated Embedded Visualizations
Zhutian Chen, Qisen Yang, Jiarui Shan, Tica Lin, J. Beyer, Haijun Xia, Hanspeter Pfister
We present iBall, a basketball video-watching system that leverages gaze-moderated embedded visualizations to facilitate game understanding and engagement of casual fans. Video broadcasting and online vide... Expand
Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems
Gaole He, L. Kuiper, U. Gadiraju
The dazzling promises of AI systems to augment humans in various tasks hinge on whether humans can appropriately rely on them. Recent research has shown that appropriate reliance is the key to achieving co... Expand
Exploring Challenges and Opportunities to Support Designers in Learning to Co-create with AI-based Manufacturing Design Tools
Frederic Gmeiner, Humphrey Yang, L. Yao, Kenneth Holstein, Nikolas Martelaro
TLDRIt is found that designers face many challenges in learning to effectively co-create with current systems, including challenges in understanding and adjusting AI outputs and in communicating their design goals.Expand
Investigating How Practitioners Use Human-AI Guidelines: A Case Study on the People + AI Guidebook
Nur Yildirim, Mahima Pushkarna, Nitesh Goyal, M. Wattenberg, Fernanda Vi'egas
Artificial intelligence (AI) presents new challenges for the user experience (UX) of products and services. Recently, practitioner-facing resources and design guidelines have become available to ease some... Expand
Stakeholder-Centered AI Design: Co-Designing Worker Tools with Gig Workers through Data Probes
Angie Zhang, Alexander Boltz, Jonathan Lynn, Chun-Wei Wang, Min Kyung Lee
AI technologies continue to advance from digital assistants to assisted decision-making. However, designing AI remains a challenge given its unknown outcomes and uses. One way to expand AI design is by cen... Expand
DataPilot: Utilizing Quality and Usage Information for Subset Selection during Visual Data Preparation
Arpit Narechania, F. Du, Atanu R. Sinha, R. Rossi, J. Hoffswell, Shunan Guo, E. Koh, S. Navathe, A. Endert
TLDRIt is found that users selected smaller, effective subsets with higher quality and usage, and with greater success and confidence, than previously found.Expand
From User Perceptions to Technical Improvement: Enabling People Who Stutter to Better Use Speech Recognition
Colin S. Lea, Zifang Huang, Lauren Tooley, Jaya Narain, Dianna Yee, P. Georgiou, Tien Dung Tran, Jeffrey P. Bigham, Leah Findlater
Consumer speech recognition systems do not work as well for many people with speech diferences, such as stuttering, relative to the rest of the general population. However, what is not clear is the degree... Expand
Designing Ocean Vision AI: An Investigation of Community Needs for Imaging-based Ocean Conservation
A. Crosby, Eric C. Orenstein, Susan E. Poulton, K. L. Bell, Benjamin Woodward, H. Ruhl, K. Katija, A. Forbes
TLDRDiscussions with diverse stakeholders to identify community needs and develop a set of functional requirements for the ongoing development of ocean science-specific analysis tools for marine science are reported on.Expand
Interface Design for Crowdsourcing Hierarchical Multi-Label Text Annotations
Rickard Stureborg, Bhuwan Dhingra, Jun Yang
TLDRThis work investigates 6 user interface designs for crowdsourcing hierarchical labels by collecting over 18,000 individual annotations and finds that under a fixed budget, integrating hierarchies into the design improves crowdsource workers' F1 scores.Expand
HOOV: Hand Out-Of-View Tracking for Proprioceptive Interaction using Inertial Sensing
Paul Streli, Rayan Armani, Yingjie Cheng, Christian Holz
TLDRHOOV is presented, a wrist-worn sensing method that allows VR users to interact with objects outside their field of view by predicting hand positions and trajectories from just the continuous estimation of hand orientation, which by itself is stable based solely on inertial observations.Expand
How to Communicate Robot Motion Intent: A Scoping Review
Max Pascher, Uwe Gruenefeld, Stefan Schneegass, J. Gerken
TLDRThis work presents an intent communication model that depicts the relationship between robot and human through different intent dimensions (intent type, intent information, intent location) and classify the existing research literature along this model, allowing us to identify key patterns and possible directions for future research.Expand
Ignore, Trust, or Negotiate: Understanding Clinician Acceptance of AI-Based Treatment Recommendations in Health Care
Venkatesh Sivaraman, L. Bukowski, Joel M Levin, J. Kahn, Adam Perer
TLDRA novel decision support interface is developed that provides interpretable treatment recommendations for sepsis, a life-threatening condition in which decisional uncertainty is common, treatment practices vary widely, and poor outcomes can occur even with optimal decisions.Expand
Fairness Evaluation in Text Classification: Machine Learning Practitioner Perspectives of Individual and Group Fairness
Zahra Ashktorab, Benjamin Hoover, Mayank Agarwal, Casey Dugan, Werner Geyer, Han Yang, Mikhail Yurochkin
TLDRFairness assessment strategies involving personal experiences or how users form groups of identity tokens to test model fairness are discovered and recommendations for interactive tools for evaluating fairness in text classification are provided.Expand
Complex Daily Activities, Country-Level Diversity, and Smartphone Sensing: A Study in Denmark, Italy, Mongolia, Paraguay, and UK
Karim Assi, L. Meegahapola, William Droz, P. Kun, A. D. Gotzen, Miriam Bidoglia, S. Stares, G. Gaskell, Altangerel Chagnaa, A. Ganbold, Tsolmon Zundui, Carlo Caprini, D. Miorandi, Alethia Hume, José Luis Zarza, L. Cernuzzi, Ivano Bison, Marcelo Rodas Britez, Matteo Busso, Ronald Chenu-Abente, Fausto Giunchiglia, D. Gática-Pérez
TLDRThis work analyzed in-the-wild smartphone data and over 216K self-reports from 637 college students in five countries and defined a 12-class complex daily activity recognition task and evaluated the performance with different approaches, finding that the country-specific approach performed better with AUROC scores.Expand
Understanding How Low Vision People Read Using Eye Tracking
Ru Wang, Linxiu Zeng, Xinyong Zhang, Sanbrita Mondal, Yuhang Zhao
TLDRThis study investigated the suitable method to collect low vision users' gaze data via commercial eye trackers and thoroughly explored their challenges in reading based on their gaze behaviors, identifying low vision people's unique gaze patterns during reading.Expand
FingerMapper: Mapping Finger Motions onto Virtual Arms to Enable Safe Virtual Reality Interaction in Confined Spaces
Wen-Jie Tseng, Samuel Huron, É. Lecolinet, Jan Gugenheimer
Whole-body movements enhance the presence and enjoyment of Virtual Reality (VR) experiences. However, using large gestures is often uncomfortable and impossible in confined spaces (e.g., public transport).... Expand
Understanding Human Intervention in the Platform Economy: A case study of an indie food delivery service
Samantha Dalal, Ngan Chiem, Nikoo Karbassi, Yuhan Liu, A. Monroy-Hernández
This paper examines the sociotechnical infrastructure of an"indie"food delivery platform. The platform, Nosh, provides an alternative to mainstream services, such as Doordash and Uber Eats, in several comm... Expand
Understanding Journalists' Workflows in News Curation
Shubham Atreja, Shruthi Srinath, Mohit Jain, J. Pal
TLDRThe role of their prior experience in the value they bring into the curation process, their use of algorithms in finding stories for their newsletter, and their internalization of their readers' interests and the context they are curating for are laid out.Expand
NewsComp: Facilitating Diverse News Reading through Comparative Annotation
M. Bhuiyan, Sang Won Lee, Nitesh Goyal, Tanushree Mitra
TLDRIt is found that comparative annotation can marginally impact users' credibility perceptions in certain cases, and users' annotations were not on par with experts', but they showed greater precision in finding similarities than in identifying disparate important statements.Expand
Causalvis: Visualizations for Causal Inference
G. Guo, E. Karavani, A. Endert, B. Kwon
TLDRWorking closely with causal inference experts, this work adopted an iterative design process to develop four interactive visualization modules to support causal inference analysis tasks, and found that Causalvis effectively supported the iterative causal inference process.Expand
Supporting Piggybacked Co-Located Leisure Activities via Augmented Reality
Samantha Reig, Erica Principe Cruz, Melissa M. Powers, Jennifer He, Tim Chong, Yu Jiang Tham, Sven G. Kratz, A. Robinson, Brian A. Smith, Rajan Vaish, A. Monroy-Hernández
TLDRThis work designed, developed, and deployed three AR applications, and evaluated them through a 41-participant and 19-pet user study, gaining key insights about the ability of AR to spur and enrich interaction in new channels, the importance of customization, and the challenges of designing for the physical aspects of AR devices.Expand
What Do We Mean When We Talk about Trust in Social Media? A Systematic Review
Yixuan Zhang, Joseph D. Gaggiano, Nutchanon Yongsatianchot, Nurul Suhaimi, Miso Kim, Yifan Sun, Jacqueline A. Griffin, Andrea G. Parker
Do people trust social media? If so, why, in what contexts, and how does that trust impact their lives? Researchers, companies, and journalists alike have increasingly investigated these questions, which a... Expand
A Study of Editor Features in a Creative Coding Classroom
Andrew M. McNutt, Anton Outkine, Ravi Chugh
TLDRAn experimental editor is implemented and used to teach a sequence of college and high-school creative coding courses to identify opportunities to improve creativity- and novice-focused IDEs and highlight ten-sions in their design.Expand
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service"
Kornel Lewicki, M. S. Lee, Jennifer Cobbe, Jatinder Singh
TLDRThis paper argues that the context-sensitive nature of fairness is often incompatible with AIaaS' 'one-size-fits-all' approach, leading to issues and tensions, and proposes a taxonomy of AI services based on the levels of autonomy afforded to the user.Expand
The Elements of Visual Art Recommendation: Learning Latent Semantic Representations of Paintings
B. Yilma, Luis A. Leiva
TLDRThis paper proposes and study recommender systems based on textual and visual feature learning techniques, as well as their combinations, and performs a small-scale and large-scale user-centric evaluation of the quality of the recommendations.Expand
Deimos: A Grammar of Dynamic Embodied Immersive Visualisation Morphs and Transitions
Benjamin Lee, Arvind Satyanarayan, Maxime Cordeil, Arnaud Prouzeau, B. Jenny, Tim Dwyer
TLDRDeimos, a grammar for specifying dynamic embodied immersive visualisation morphs and transitions that are dynamically applied to immersive visualisations at runtime and is conceptually modelled as a state machine is presented.Expand
The Walking Talking Stick: Understanding Automated Note-Taking in Walking Meetings
Luke Haliburton, Natalia Bartłomiejczyk, Pawel W. Wo'zniak, Albrecht Schmidt, J. Niess
While walking meetings offer a healthy alternative to sit-down meetings, they also pose practical challenges. Taking notes is difficult while walking, which limits the potential of walking meetings. To add... Expand
Data, Data, Everywhere: Uncovering Everyday Data Experiences for People with Intellectual and Developmental Disabilities
Keke Wu, Michelle Tran, Emma Petersen, Varsha Koushik, D. Szafir
TLDRThis algorithmic interview approach situated data in the lived experiences of people with IDD to uncover otherwise hidden data encounters in their everyday life and reimagine the role of visualization in data accessibility and establish a critical near-term research agenda for cognitively accessible visualization.Expand
DeepLens: Interactive Out-of-distribution Data Detection in NLP Models
D. Song, Zhijie Wang, Yuheng Huang, Lei Ma, Tianyi Zhang
TLDRDeepLens is proposed, an interactive system that helps users detect and explore OOD issues in massive text corpora and efficiently explore different OOD types in DeepLens with the help of a text clustering method.Expand
ChameleonControl: Teleoperating Real Human Surrogates through Mixed Reality Gestural Guidance for Remote Hands-on Classrooms
Mehrad Faridan, B. Kumari, R. Suzuki
TLDRChameleonControl uses a real human as a surrogate of a remote instructor to teleoperate a human surrogate through synchronized mixed reality hand gestural navigation and verbal communication to increase engagement and the sense of co-presence.Expand
Work with AI and Work for AI: Autonomous Vehicle Safety Drivers' Lived Experiences
Mengdi Chu, Keyu Zong, Xin Shu, Jiangtao Gong, Zicong Lu, Kaimin Guo, Xinyi Dai, Guyue Zhou
The development of Autonomous Vehicle (AV) has created a novel job, the safety driver, recruited from experienced drivers to supervise and operate AV in numerous driving missions. Safety drivers usually wo... Expand
Don't Look at the Data! How Differential Privacy Reconfigures the Practices of Data Science
Jayshree Sarathy, Sophia Song, Audrey Haque, Tania Schlatter, S. Vadhan
TLDRIt is found that while DP is promising for providing wider access to sensitive datasets, it also introduces challenges into every stage of the data science workflow.Expand
XAIR: A Framework of Explainable AI in Augmented Reality
Xuhai Xu, M. Yu, Tanya R. Jonker, Kashyap Todi, Feiyu Lu, Xun Qian, João Marcelo Evangelista Belo, Tianyi Wang, Michelle Li, Aran Mun, Te-Yen Wu, Junxiao Shen, Ting Zhang, Narine Kokhlikyan, Fulton Wang, P. Sorenson, Sophie Kahyun Kim, Hrvoje Benko
TLDRXAIR, a design framework that addresses "when", "what", and "how" to provide explanations of AI output in AR, is proposed and can provide guidelines for designers, inspiring them to identify new design opportunities and achieve effective XAI designs in AR.Expand
Collaboration with Conversational AI Assistants for UX Evaluation: Questions and How to Ask them (Voice vs. Text)
Emily Kuang, Ehsan Jahangirzadeh Soure, Mingming Fan, J. Zhao, Kristen Shinohara
TLDRInteractive conversational assistants provide a Q&A dynamic that may improve analysis efficiency and evaluator autonomy and provide design considerations for future conversational AI assistants for UX evaluation.Expand
Notable: On-the-fly Assistant for Data Storytelling in Computational Notebooks
Haotian Li, Lu Ying, Haidong Zhang, Yingcai Wu, Huamin Qu, Yun Wang
TLDRNotable provides intelligent support to minimize the work of documenting and organizing data findings and diminishes the cost of switching between data exploration and storytelling in computational notebooks.Expand
Competent but Rigid: Identifying the Gap in Empowering AI to Participate Equally in Group Decision-Making
Chengbo Zheng, Yuheng Wu, Chuhan Shi, Shuai Ma, Jiehui Luo, Xiaojuan Ma
Existing research on human-AI collaborative decision-making focuses mainly on the interaction between AI and individual decision-makers. There is a limited understanding of how AI may perform in group deci... Expand
The Entoptic Field Camera as Metaphor-Driven Research-through-Design with AI Technologies
J. J. Benjamin, Heidi R. Biggs, A. Berger, Julija Rukanskait.e, Michael Heidt, Nick Merrill, James Pierce, Joseph Lindley
TLDRA Research-through-Design project which explores this shift in the means and modes of image production via the creation and use of the Entoptic Field Camera and uses the term entoptic as a metaphor to investigate how the material interplay of data and models in AI technologies shapes human experiences of reality.Expand
Towards Inclusive Avatars: Disability Representation in Avatar Platforms
K. Mack, Rai Ching Ling Hsu, A. Monroy-Hernández, Brian A. Smith, Fannie Liu
Digital avatars are an important part of identity representation, but there is little work on understanding how to represent disability. We interviewed 18 people with disabilities and related identities ab... Expand
UndoPort: Exploring the Influence of Undo-Actions for Locomotion in Virtual Reality on the Efficiency, Spatial Understanding and User Experience
Florian Muller, Arantxa Ye, Dominik Schon, Julian Rasch
TLDREight different variations of undo actions as extensions of point\&teleport are explored, based on the possibility to undo position and orientation changes together with two different visualizations of the undo step (discrete and continuous).Expand
Quantified Canine: Inferring Dog Personality From Wearables
L. Meegahapola, Marios Constantinides, Z. Radivojevic, Hongwei Li, D. Quercia, Michael S. Eggleston
TLDRA device that can be strapped on the pet's chest and measures activity through an accelerometer and a gyroscope and trained ten machine-learning classifiers that predicted dog personality from activity data, suggesting the value of tracking the psychological signals of pets using wearable technologies.Expand
A Review and Collation of Graphical Perception Knowledge for Visualization Recommendation
Zehua Zeng, L. Battle
TLDRA JSON dataset is contributed that collates existing theoretical and experimental knowledge and summarizes key study outcomes in graphical perception and highlights open challenges and opportunities for the community in collating graphical perception knowledge for a range of visualization recommendation scenarios.Expand
From plane crashes to algorithmic harm: applicability of safety engineering frameworks for responsible ML
Shalaleh Rismani, R. Shelby, A. Smart, Edgar W. Jatho, Joshua A. Kroll, AJung Moon, Negar Rostamzadeh
Inappropriate design and deployment of machine learning (ML) systems leads to negative downstream social and ethical impact – described here as social and ethical risks – for users, society and the environ... Expand
Choice Over Control: How Users Write with Large Language Models using Diegetic and Non-Diegetic Prompting
Hai Dang, Sven Goller, Florian Lehmann, D. Buschek
TLDRThis work informs human-AI interaction with generative models by revealing that (1) writing non-diegetic prompts requires effort, (2) people combine diegetic and non- diegetic prompting, and (3) they use their draft (i.e. diegetic information) and suggestion timing to strategically guide LLMs.Expand
Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions
Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Xiang 'Anthony' Chen, Caiming Xiong
TLDRThree interfaces -- the Annotated Article, the Recomposed Article, and the Question Grid -- aimed at accompanying news readers in discovering coverage diversity while they read are designed, revealing coverage diversity and determining each interface's potential use cases and audiences.Expand
A Framework and Call to Action for the Future Development of EMG-Based Input in HCI
Ethan Eddy, E. Scheme, Scott Bateman
TLDRThis work provides a step-by-step framework for designing EMG-based input systems to strengthen the foundation on which EMg-based interactions are built and provides a call-to-action for researchers to unlock the hidden potential of EMG as a widely applicable and highly usable input modality.Expand
Interactive Context-Preserving Color Highlighting for Multiclass Scatterplots
Kecheng Lu, K. Reda, O. Deussen, Yunhai Wang
TLDRThis paper argues for context-preserving highlighting during the interactive exploration of multi-class scatterplots to achieve desired pop-out effects, while maintaining good perceptual separability among all classes and consistent color mapping schemes under varying points of interest.Expand
Teachable Reality: Prototyping Tangible Augmented Reality with Everyday Objects by Leveraging Interactive Machine Teaching
Kyzyl Monteiro, Ritik Vatsal, Neil Chulpongsatorn, Aman Parnami, R. Suzuki
TLDRTeachable Reality leverages vision-based interactive machine teaching, which captures real-world interactions for AR prototyping, to identify the user-defined tangible and gestural interactions using an on-demand computer vision model.Expand
Measuring Categorical Perception in Color-Coded Scatterplots
Chin Tseng, Ghulam Jilani Quadri, Zeyu Wang, D. Szafir
TLDRThe results show that the number of categories and color discriminability within a color palette notably impact people's perception of categorical data in scatterplots and that the judgments become harder as theNumber of categories grows.Expand
Upvotes? Downvotes? No Votes? Understanding the relationship between reaction mechanisms and political discourse on Reddit
O. Papakyriakopoulos, Severin Engelmann, Amy Winecoff
A significant share of political discourse occurs online on social media platforms. Policymakers and researchers try to understand the role of social media design in shaping the quality of political discou... Expand
NetworkNarratives: Data Tours for Visual Network Exploration and Analysis
Wenchao Li, Sarah Schöttler, J. Scott-Brown, Yun Wang, Siming Chen, Huamin Qu, Benjamin Bach
TLDRA user interface (NetworkNarratives) is developed that allows analysts to navigate an interactive slideshow featuring facts about the network using visualizations and textual annotations and shows that data tours reduce exploration effort, support learning about network exploration, and can aid the dissemination of analysis results.Expand
Relatedly: Scaffolding Literature Reviews with Existing Related Work Sections
Srishti Palani, Aakanksha Naik, Doug Downey, Amy X. Zhang, Jonathan Bragg, Joseph Chee Chang
TLDRThis work designs a system, Relatedly, that scaffolds exploring and reading multiple related work paragraphs on a topic, with features including dynamic re-ranking and highlighting to spotlight unexplored dissimilar information, auto-generated descriptive paragraph headings, and low-lighting of redundant information.Expand
"That's important, but...": How Computer Science Researchers Anticipate Unintended Consequences of Their Research Innovations
Kimberly Do, Rock Yuren Pang, Jiachen Jiang, Katharina Reinecke
Computer science research has led to many breakthrough innovations but has also been scrutinized for enabling technology that has negative, unintended consequences for society. Given the increasing discuss... Expand
Code Code Evolution: Understanding How People Change Data Science Notebooks Over Time
Deepthi Raghunandan, Aayushi Roy, Shenzhi Shi, N. Elmqvist, L. Battle
TLDRThis work conducts a quantitative study of Jupyter notebooks mined from GitHub and presents regression models that automatically characterize sensemaking activity within individual notebooks by assigning them a score representing their position within the sensemaking spectrum.Expand
Sparkling Silence: Practices and Challenges of Livestreaming Among Deaf or Hard of Hearing Streamers
Beiyan Cao, Changyang He, Muzhi Zhou, Mingming Fan
TLDRThe authors' findings revealed deaf or hard of hearing streamers' desire to break the stereotypes towards the DHH groups via livestream and the intense interplay between interaction methods, such as sign language, texts, lip language, background music, and viewer characteristics.Expand
Contestable Camera Cars: A Speculative Design Exploration of Public AI That Is Open and Responsive to Dispute
K. Alfrink, I. Keller, N. Doorn, Gerd Kortuem
TLDRIt is described how civic participation faces issues of representation, public AI systems should integrate with existing democratic practices, and cities must expand capacities for responsible AI development and operation.Expand
"I am the follower, also the boss": Exploring Different Levels of Autonomy and Machine Forms of Guiding Robots for the Visually Impaired
Yan Zhang, ZiangL Li, Haole Guo, Luyao Wang, Qihe Chen, Wen-Wen Jiang, Mingming Fan, Guyue Zhou, Jiangtao Gong
Guiding robots, in the form of canes or cars, have recently been explored to assist blind and low vision (BLV) people. Such robots can provide full or partial autonomy when guiding. However, the pros and c... Expand
ConceptEVA: Concept-Based Interactive Exploration and Customization of Document Summaries
Xiaoyu Zhang, J. Li, Po-Wei Chi, Senthil K. Chandrasegaran, Kwan-Liu Ma
TLDRConceptEVA, a mixed-initiative approach to generate, evaluate, and customize summaries for long and multi-topic documents, is introduced and participants' satisfaction with customized summaries through ConceptEVA is higher than their own manually-generated summary.Expand
NFTDisk: Visual Detection of Wash Trading in NFT Markets
Xiaolin Wen, Y. Wang, Xuanwu Yue, Feida Zhu, Min Zhu
TLDRNFTDisk is proposed, a novel visualization for investors to identify wash trading activities in NFT markets, where two linked visualization modules are presented: a radial visualization module with a disk metaphor to overview NFT transactions and a flow-based visualization module to reveal detailed NFT flows at multiple levels.Expand
Rethinking "Risk" in Algorithmic Systems Through A Computational Narrative Analysis of Casenotes in Child-Welfare
Devansh Saxena, Erin Moon, Aryan Chaurasia, Yixin Guan, Shion Guha
Risk assessment algorithms are being adopted by public sector agencies to make high-stakes decisions about human lives. Algorithms model"risk"based on individual client characteristics to identify clients... Expand
Nooks: Social Spaces to Lower Hesitations in Interacting with New People at Work
Shreya Bali, Pranav Khadpe, Geoff F. Kaufman, Chinmay Kulkarni
Initiating conversations with new people at work is often intimidating because of uncertainty about their interests. People worry others may reject their attempts to initiate conversation or that others ma... Expand
WebUI: A Dataset for Enhancing Visual UI Understanding with Web Semantics
Jason Wu, Siyan Wang, Siman Shen, Yi-Hao Peng, Jeffrey Nichols, Jeffrey P. Bigham
TLDRThis work crawled the web to construct WebUI, a large dataset of 400,000 rendered web pages associated with automatically extracted metadata, and analyzed the composition of WebUI to show that while automatically extracted data is noisy, most examples meet basic criteria for visual UI modeling.Expand
Co-designing Community-based Sharing of Smarthome Devices for the Purpose of Co-monitoring In-home Emergencies
Leen A. Alghamdi, Mamtaj Akter, Jessica Kropczynski, P. Wisniewski, H. Lipford
TLDRThe study reveals why peer-based co-monitoring of smarthomes for emergencies may be beneficial but also difficult to implement and provides recommendations for designing technologies that facilitate such co-Monitoring while mitigating its risks.Expand
WESPER: Zero-shot and Realtime Whisper to Normal Voice Conversion for Whisper-based Speech Interactions
J. Rekimoto
Recognizing whispered speech and converting it to normal speech creates many possibilities for speech interaction. Because the sound pressure of whispered speech is significantly lower than that of normal... Expand
Angler: Helping Machine Translation Practitioners Prioritize Model Improvements
Samantha Robertson, Zijie J. Wang, Dominik Moritz, Mary Beth Kery, Frederick Hohman
TLDRAngler, an interactive visual analytics tool to help ML practitioners prioritize model improvements, was developed to understand prioritization practices when the input space is infinite, and obtaining reliable signals of model quality is expensive.Expand
A Mixed-Methods Approach to Understanding User Trust after Voice Assistant Failures
Amanda Baughan, Allison Mercurio, Ariel Liu, Xuezhi Wang, Jilin Chen, Xiao Ma
TLDRA mixed-methods analysis of how voice assistant failures affect users' trust in their voice assistants finds that certain failures, such as those due to overcapturing users' input, derail user trust more than others.Expand
Altruistic and Profit-oriented: Making Sense of Roles in Web3 Community from Airdrop Perspective
Sizheng Fan, Tian Min, Xiao Wu, Wei Cai
TLDRParaSwap is used as an example to propose a role taxonomy methodology through a data-driven study to understand the characteristic of community members and the effectiveness of airdrop, and finds that users receive more rewards tend to take positive actions towards the community.Expand
AnisoTag: 3D Printed Tag on 2D Surface via Reflection Anisotropy
Zehua Ma, Hang Zhou, Weiming Zhang
In the past few years, the widespread use of 3D printing technology enables the growth of the market of 3D printed products. On Esty, a website focused on handmade items, hundreds of individual entrepreneu... Expand
Never Skip Leg Day Again: Training the Lower Body with Vertical Jumps in a Virtual Reality Exergame
S. Cmentowski, Sukran Karaosmanoglu, L. Nacke, Frank Steinicke, Jens Kruger
Virtual Reality (VR) exergames can increase engagement in and motivation for physical activities. Most VR exergames focus on the upper body because many VR setups only track the users' heads and hands. To... Expand
AVscript: Accessible Video Editing with Audio-Visual Scripts
Mina Huh, Saelyne Yang, Yi-Hao Peng, Xiang 'Anthony' Chen, Young-Ho Kim, Amy Pavel
Sighted and blind and low vision (BLV) creators alike use videos to communicate with broad audiences. Yet, video editing remains inaccessible to BLV creators. Our formative study revealed that current vide... Expand
Designerly Understanding: Information Needs for Model Transparency to Support Design Ideation for AI-Powered User Experience
Q. Liao, Hariharan Subramonyam, Jennifer Wang, Jennifer Wortman Vaughan
TLDRThis study highlights the pivotal role that UX designers can play in Responsible AI and calls for supporting their understanding of AI limitations through model transparency and interrogation.Expand
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction
Sunnie S. Y. Kim, E. A. Watkins, Olga Russakovsky, Ruth C. Fong, A. Monroy-Hernández
TLDRIt is found that participants desire practically useful information that can improve their collaboration with the AI, more so than technical system details, and among existing XAI approaches, participants preferred part-based explanations that resemble human reasoning and explanations.Expand
Studying the effect of AI Code Generators on Supporting Novice Learners in Introductory Programming
Majeed Kazemitabaar, J. Chow, Carl Ka To Ma, B. Ericson, David Weintrop, Tovi Grossman
TLDRUsing OpenAI Codex significantly increased code-authoring performance while not decreasing performance on manual code-modification tasks, and learners with access to Codex during the training phase performed slightly better on the evaluation post-tests conducted one week later, although this difference did not reach statistical significance.Expand
ImageAssist: Tools for Enhancing Touchscreen-Based Image Exploration Systems for Blind and Low Vision Users
Vishnu Nair, Han Zhu, Brian A. Smith
TLDRImageAssist is presented, a set of three tools that assist BLV users through the process of exploring images by touch -- scaffolding the exploration process and revealing several implications for image exploration tools forBLV users.Expand
Bridging the Generational Gap: Exploring How Virtual Reality Supports Remote Communication Between Grandparents and Grandchildren
Xiaoying Wei, Yizheng Gu, Emily Kuang, Xian Wang, Beiyan Cao, Xiaofu Jin, Mingming Fan
TLDRResults show that VR affords casual and equal communication by reducing the generational gap, and promotes conversation by offering shared activities as bridges for connection.Expand
Leveraging driver vehicle and environment interaction: Machine learning using driver monitoring cameras to detect drunk driving
Kevin Koch, Martin Maritsch, E. V. Weenen, S. Feuerriegel, Matthias Pfäffli, E. Fleisch, Wolfgang Weinmann, Felix Wortmann
TLDRAn in-vehicle machine learning system to predict critical BAC levels and is the first to rigorously evaluate the use of driver monitoring cameras for detecting drunk driving.Expand
ESCAPE: Countering Systematic Errors from Machine's Blind Spots via Interactive Visual Analysis
Yongsu Ahn, Y. Lin, Panpan Xu, Zeng Dai
TLDRESAPE is proposed, a visual analytic system that promotes a human-in-the-loop workflow for countering systematic errors and two statistical approaches, relative concept association to better quantify the associations between a concept and instances, and debias method to mitigate spurious associations.Expand
Can Voice Assistants Be Microaggressors? Cross-Race Psychological Responses to Failures of Automatic Speech Recognition
Kimi Wenzel, Nitya Devireddy, Cameron J. Davidson, Geoff F. Kaufman
Language technologies have a racial bias, committing greater errors for Black users than for white users. However, little work has evaluated what effect these disparate error rates have on users themselves... Expand
"If I Had All the Time in the World": Ophthalmologists' Perceptions of Anchoring Bias Mitigation in Clinical AI Support
A. Bach, Trine Munch Norgaard, Jens Christian Brok, N. V. Berkel
TLDRThe use of an existing AI support system by ophthalmologists is set out to understand, and clinicians' perceptions of three bias mitigation strategies as integrated into their existing decision support system are evaluated.Expand
Enabling Conversational Interaction with Mobile UI using Large Language Models
Bryan Wang, Gang Li, Yang Li
TLDRThis paper designed prompting techniques to adapt an LLM to mobile UIs without requiring dedicated datasets and training, offering a lightweight and generalizable approach to enable language-based mobile interaction.Expand
Stuck in the Permissions With You: Developer & End-User Perspectives on App Permissions & Their Privacy Ramifications
Mohammad Tahaei, Ruba Abu-Salma, A. Rashid
TLDRThis study found that both app developers and end-users shared similar concerns about unnecessary permissions breaking trust, damaging the app’s reputation, and potentially allowing access to sensitive data.Expand
Enabling Voice-Accompanying Hand-to-Face Gesture Recognition with Cross-Device Sensing
Zisu Li, Chen Liang, Yuntao Wang, Yue Qin, Chun Yu, Yukang Yan, Mingming Fan, Yuanchun Shi
TLDRThis paper investigated voice-accompanying hand-to-face (VAHF) gestures for voice interaction with a novel cross-device sensing method that leverages heterogeneous channels (vocal, ultrasound, and IMU) of data from commodity devices (earbuds, watches, and rings).Expand
Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making
Shuai Ma, Ying Lei, Xinru Wang, Chengbo Zheng, Chuhan Shi, Ming Yin, Xiaojuan Ma
TLDRThis work proposed three CL exploitation strategies to calibrate users’ trust explicitly/implicitly in the AI-assisted decision-making process to promote humans’ appropriate trust based on the CL of both sides at a task-instance level.Expand
Contributing to Accessibility Datasets: Reflections on Sharing Study Data by Blind People
Rie Kamikubo, Kyungjun Lee, Hernisa Kacorri
TLDRIt is seen how different factors influence blind participants' willingness to share study data as they assess risk-benefit tradeoffs and has implications for the development of responsible practices for stewarding accessibility datasets.Expand
Is It the End? Guidelines for Cinematic Endings in Data Videos
Xian Xu, Aoyu Wu, Leni Yang, Zheng Wei, Rong Huang, D. Yip, Huamin Qu
Data videos are becoming increasingly popular in society and academia. Yet little is known about how to create endings that strengthen a lasting impression and persuasion. To fulfill the gap, this work aim... Expand
StoryChat: Designing a Narrative-Based Viewer Participation Tool for Live Streaming Chatrooms
Ryan Yen, Li Feng, Brinda Mehra, Ching Christie Pang, Si-Yuan Hu, Zhicong Lu
Live streaming platforms and existing viewer participation tools enable users to interact and engage with an online community, but the anonymity and scale of chat usually result in the spread of negative c... Expand
Assessing enactment of content regulation policies: A post hoc crowd-sourced audit of election misinformation on YouTube
Prerna Juneja, M. Bhuiyan, Tanushree Mitra
TLDRIt is found that YouTube's search results, irrespective of search query bias, contain more videos that oppose rather than support election misinformation, however, watching misinformative election videos still lead users to a small number of misinforming videos in the up-next trails.Expand
Comparing Sentence-Level Suggestions to Message-Level Suggestions in AI-Mediated Communication
Liye Fu, Benjamin Newman, Maurice Jakesch, S. Kreps
Traditionally, writing assistance systems have focused on short or even single-word suggestions. Recently, large language models like GPT-3 have made it possible to generate significantly longer natural-so... Expand
Wish You Were Here: Mental and Physiological Effects of Remote Music Collaboration in Mixed Reality
R. Schlagowski, Dariia Nazarenko, Y. Can, Kunal Gupta, Silvan Mertes, M. Billinghurst, Elisabeth Andr'e
With face-to-face music collaboration being severely limited during the recent pandemic, mixed reality technologies and their potential to provide musicians a feeling of "being there" with their musical pa... Expand
In Sync: Exploring Synchronization to Increase Trust Between Humans and Non-humanoid Robots
Wieslaw Bartkowski, A. Nowak, Filip Ignacy Czajkowski, Albrecht Schmidt, Florian Müller
TLDRThe built a prototype of a simple non-humanoid robot that can bend to follow human movements and vary the movement synchronization patterns and found that synchronized movements lead to significantly higher ratings in an established questionnaire on trust between people and automation but did not influence the willingness to spend money in a trust game.Expand
Thought Bubbles: A Proxy into Players' Mental Model Development
Omid Mohaddesi, Noah Chicoine, Min Gong, Özlem Ergun, Jacqueline A. Griffin, D. Kaeli, S. Marsella, C. Harteveld
Studying mental models has recently received more attention, aiming to understand the cognitive aspects of human-computer interaction. However, there is not enough research on the elicitation of mental mod... Expand
Co-Writing with Opinionated Language Models Affects Users' Views
Maurice Jakesch, Advait Bhat, D. Buschek, Lior Zalmanson, Mor Naaman
TLDRWhether a language-model-powered writing assistant that generates some opinions more often than others impacts what users write - and what they think is investigated.Expand
TicTacToes: Assessing Toe Movements as an Input Modality
Florian Muller, Daniel Schmitt, A. Matviienko, Dominik Schon, Sebastian Gunther, T. Kosch, Martin Schmitz
TLDRThis work argues that the authors' toes offer further degrees of freedom that can be leveraged for interaction, and contributes the results of a controlled experiment with 18 participants assessing the impact of five factors on the accuracy, efficiency and user experience of toe-based interfaces.Expand
Legal Obligation and Ethical Best Practice: Towards Meaningful Verbal Consent for Voice Assistants
W. Seymour, M. Coté, J. Such
TLDRKey themes include approaching permissions according to the user’s ability to opt-out, minimising consent decisions, and ensuring platforms follow established consent principles.Expand
Message Ritual: A Posthuman Account of Living with Lamp
Nina Rajcic, J. McCormack
TLDRMessage Ritual is presented – a novel, integrated AI system that encourages the re-framing of memory through machine generated poetics, embodied within a domestic table lamp, that listens in on conversations occurring within the home.Expand
Enhancing Older Adults' Gesture Typing Experience Using the T9 Keyboard on Small Touchscreen Devices
Emily Kuang, Ruihuan Chen, Mingming Fan
Older adults increasingly adopt small-screen devices, but limited motor dexterity hinders their ability to type effectively. While a 9-key (T9) keyboard allocates larger space to each key, it is shared by... Expand
Modeling the Trade-off of Privacy Preservation and Activity Recognition on Low-Resolution Images
Yuntao Wang, Zirui Cheng, Xin Yi, Yan Kong, Xueyang Wang, Xuhai Xu, Yukang Yan, Chun Yu, Shwetak N. Patel, Yuanchun Shi
TLDRThis paper quantified and analyzed the effects of image resolution on human and machine recognition performance in activity recognition and privacy awareness tasks, and proposed a method for modeling the trade-off of privacy preservation and activity recognition on low-resolution images.Expand
Understanding Practices, Challenges, and Opportunities for User-Driven Algorithm Auditing in Industry Practice
Wesley Hanwen Deng, Bill Boyuan Guo, Alicia DeVrio, Hong Shen, Motahhare Eslami, Kenneth Holstein
TLDRThis work conducted a series of interviews and iterative co-design activities with practitioners who employ user-engaged auditing approaches in their work, revealing several challenges practitioners face in appropriately recruiting and incentivizing user auditors, scaffolding user audits, and deriving actionable insights from user-Engaged audit reports.Expand
Understanding Visual Arts Experiences of Blind People
Franklin Mingzhe Li, Lotus Zhang, Maryam Bandukda, Abigale Stangl, Kristen Shinohara, Leah Findlater, Patrick Carrington
Visual arts play an important role in cultural life and provide access to social heritage and self-enrichment, but most visual arts are inaccessible to blind people. Researchers have explored different way... Expand
Dynamics of eye-hand coordination are flexibly preserved in eye-cursor coordination during an online, digital, object interaction task
Jennifer K. Bertrand, Craig S. Chapman
TLDRIt is found that real-world eye-hand coordination patterns persist and adapt in this digital context, and remote, online, cursor-tracking and webcam eye-tracking are useful tools for capturing visuomotor behaviours during this ecologically-valid human-computer interaction task.Expand
Stargazer: An Interactive Camera Robot for Capturing How-To Videos Based on Subtle Instructor Cues
Jiannan Li, Maurício Sousa, Karthik Mahadevan, Bryan Wang, Paula Akemi Aoyaui, Nicole Yu, Angela Yang, Ravin Balakrishnan, Anthony Tang, Tovi Grossman
Live and pre-recorded video tutorials are an effective means for teaching physical skills such as cooking or prototyping electronics. A dedicated cameraperson following an instructor's activities can impro... Expand
Trauma-Informed Social Media: Towards Solutions for Reducing and Healing Online Harm
Carol F. Scott, G. Marcu, R. Anderson, Mark W. Newman, S. Schoenebeck
Social media platforms exacerbate trauma, and many users experience various forms of trauma unique to them (e.g., doxxing and swatting). Trauma is the psychological and physical response to experiencing a... Expand
AutoVis: Enabling Mixed-Immersive Analysis of Automotive User Interface Interaction Studies
Pascal Jansen, Julian Britten, Alexander Häusele, Thilo Segschneider, Mark Colley, E. Rukzio
TLDRThis work identifies design requirements based on an analysis of AUI research and domain expert interviews, and implements a prototype, conducted heuristic walkthroughs using authentic data from a case study and public datasets, and leveraged a real vehicle in the analysis process.Expand
CatAlyst: Domain-Extensible Intervention for Preventing Task Procrastination Using Large Generative Models
Riku Arakawa, Hiromu Yakura, Masataka Goto
CatAlyst uses generative models to help workers' progress by influencing their task engagement instead of directly contributing to their task outputs. It prompts distracted workers to resume their tasks by... Expand
Overcoming Algorithm Aversion: A Comparison between Process and Outcome Control
Ling-chi Cheng, A. Chouldechova
TLDRIt is found that process control in the form of choosing the training algorithm mitigates algorithm aversion, but changing inputs does not, and giving users both outcome and process control does not reduce algorithm aversion more than outcome or process control alone.Expand
GAM Coach: Towards Interactive and User-centered Algorithmic Recourse
Zijie J. Wang, J. W. Vaughan, R. Caruana, Duen Horng Chau
TLDRGAM Coach is presented, a novel open-source system that adapts integer linear programming to generate customizable counterfactual explanations for Generalized Additive Models (GAMs), and leverages interactive visualizations to enable end users to iteratively generate recourse plans meeting their needs.Expand
CoPracTter: Toward Integrating Personalized Practice Scenarios, Timely Feedback and Social Support into An Online Support Tool for Coping with Stuttering in China
Feng Li, Zeyu Xiong, Xinyi Li, Mingming Fan
Stuttering is a speech disorder influencing over 70 million people worldwide, including 13 million in China. It causes low self-esteem among other detrimental effects on people who stutter (PwS). Although... Expand
Why Combining Text and Visualization Could Improve Bayesian Reasoning: A Cognitive Load Perspective
Melanie Bancilhon, AJ Wright, Sunwoo Ha, R. J. Crouser, Alvitta Ottley
Investigations into using visualization to improve Bayesian reasoning and advance risk communication have produced mixed results, suggesting that cognitive ability might affect how users perform with diffe... Expand
Short-Form Videos Degrade Our Capacity to Retain Intentions: Effect of Context Switching On Prospective Memory
Francesco Chiossi, Luke Haliburton, Changkun Ou, A. Butz, Albrecht Schmidt
TLDRA quantified understanding of the effect of social media feed format on Prospective Memory is contributed and consequences for media technology designers to not harm the users' memory and wellbeing are outlined.Expand
"Finding the Magic Sauce": Exploring Perspectives of Recruiters and Job Seekers on Recruitment Bias and Automated Tools
M. Lashkari, Jinghui Cheng
Automated recruitment tools are proliferating. While having the promise of improving efficiency, various risks, including bias, challenges the potential of these tools. An in-depth understanding of the per... Expand
On the Design of AI-powered Code Assistants for Notebooks
Andrew M. McNutt, Chenglong Wang, R. DeLine, S. Drucker
TLDRChallenges and opportunities for future systems in this space are identified, such as the value of disambiguation for tasks like data visualization, the potential of tightly scoped domain-specific tools (like linters), and the importance of polite assistants.Expand
CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context
Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg, Andrew Head, Kyle Lo, Doug Downey, Daniel S. Weld
TLDRCiteSee is a paper reading tool that leverages a user's publishing, reading, and saving activities to provide personalized visual augmentations and context around citations to help users prioritize their exploration.Expand
"Nudes? Shouldn't I charge for these?": Motivations of New Sexual Content Creators on OnlyFans
Vaughn Hamilton, Ananta Soneji, Allie McDonald, Elissa M. Redmiles
we work. qualitative study of OnlyFans we for work autonomy), our (1) OnlyFans; (2) with and and (3) the pandemic, as OnlyFans opportunity to overcome lockdown-related
ComLittee: Literature Discovery with Personal Elected Author Committees
Hyeonsu B Kang, Nouran Soliman, Matt Latzke, Joseph Chee Chang, Jonathan Bragg
In order to help scholars understand and follow a research topic, significant research has been devoted to creating systems that help scholars discover relevant papers and authors. Recent approaches have s... Expand
Understanding Frontline Workers' and Unhoused Individuals' Perspectives on AI Used in Homeless Services
Tzu-Sheng Kuo, Hong Shen, Jisoo Geum, N. Jones, Jason I. Hong, Haiyi Zhu, Kenneth Holstein
TLDRThis work elicited feedback from county workers who operate the ADS daily, service providers whose work is directly impacted by the ADS, and unhoused individuals in the region to understand impacted stakeholders' perspectives on a deployed ADS that prioritizes scarce housing resources.Expand
Survivor-Centered Transformative Justice: An Approach to Designing Alongside Domestic Violence Stakeholders in US Muslim Communities
Hawra Rabaan, Lynn S. Dombrowski
While domestic violence (DV) is prevalent in all socioeconomic settings, identity highly impacts how one experiences and recovers from abuse. This work examines US-based Muslim women's challenges when seek... Expand
Inform the uninformed: Improving Online Informed Consent Reading with an AI-Powered Chatbot
Ziang Xiao, T. Li, K. Karahalios, Hari Sundaram
Informed consent is a core cornerstone of ethics in human subject research. Through the informed consent process, participants learn about the study procedure, benefits, risks, and more to make an informed... Expand
LipLearner: Customizable Silent Speech Interactions on Mobile Devices
Zixiong Su, Shitao Fang, J. Rekimoto
TLDRLipLearner leverages contrastive learning to learn efficient lipreading representations, enabling few-shot command customization with minimal user effort, and exhibits high robustness to different lighting, posture, and gesture conditions on an in-the-wild dataset.Expand
Understanding Collaborative Practices and Tools of Professional UX Practitioners in Software Organizations
K. J. K. Feng, Tony W. Li, Amy X. Zhang
TLDRWhile an increase in collaborative activity enhanced many aspects of UX work, some long-standing challenges -- such as handing off designs to developers -- still persist and new challenges emerging from activities enabled by collaborative tools such as design system management are observed.Expand
Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study
Agrima Seth, Jiyin Cao, X. Shi, R. Dotsch, Yozen Liu, M. Bos
Culture shapes people’s behavior, both online and offline. Surpris-ingly, there is sparse research on how cultural context affects network formation and content consumption on social media. We analyzed the fr... Expand
Situated Participatory Design: A Method for In Situ Design of Robotic Interaction with Older Adults
Laura Stegner, Emmanuel Senft, Bilge Mutlu
We present a participatory design method to design human-robot interactions with older adults and its application through a case study of designing an assistive robot for a senior living facility. The meth... Expand
A World Full of Privacy and Security (Mis)conceptions? Findings of a Representative Survey in 12 Countries
Franziska Herbert, Steffen Becker, Leonie Schaewitz, Jonas Hielscher, Marvin Kowalewski, M. Sasse, Y. Acar, Markus Durmuth
TLDRThis work presents the results of the first large-scale survey of a global population on misconceptions, and finds the country of residence to be the strongest estimate for holding misconceptions around eight common security and privacy topics.Expand
fAIlureNotes: Supporting Designers in Understanding the Limits of AI Models for Computer Vision Tasks
Steven Moore, Q. Liao, Hariharan Subramonyam
To design with AI models, user experience (UX) designers must assess the fit between the model and user needs. Based on user research, they need to contextualize the model's behavior and potential failures... Expand
AutoML in The Wild: Obstacles, Workarounds, and Expectations
Yuan Sun, Qi Song, Xinning Gui, Fenglong Ma, Ting Wang
TLDRAnalysis of semi-structured interviews of AutoML users reveals that users actively exercise user agency to overcome three major challenges arising from customizability, transparency, and privacy.Expand
GeoCamera: Telling Stories in Geographic Visualizations with Camera Movements
Wenchao Li, Zhanyi Wang, Yun Wang, Di Weng, Liwenhan Xie, Siming Chen, Haidong Zhang, Huamin Qu
TLDRThis work analyzes a corpus of 66 geographic data videos and derives a design space of camera movements with a dimension for geospatial targets and one for narrative purposes and develops an interactive tool called GeoCamera, which allows users to flexibly design camera movements for geographic visualizations.Expand
About Engaging and Governing Strategies: A Thematic Analysis of Dark Patterns in Social Networking Services
Thomas Mildner, Gian-Luca Savino, Philip R. Doyle, Benjamin R. Cowan, R. Malaka
TLDRThis paper collected over 16 hours of screen recordings from Facebook's, Instagram's, TikTok's, and Twitter's mobile applications to understand how dark patterns manifest in these SNSs.Expand
Visual Belief Elicitation Reduces the Incidence of False Discovery
Ratanond Koonchanok, Gauri Yatindra Tawde, Gokul Ragunandhan Narayanasamy, Shalmali Walimbe, K. Reda
Visualization supports exploratory data analysis (EDA), but EDA frequently presents spurious charts, which can mislead people into drawing unwarranted conclusions. We investigate interventions to prevent f... Expand
Zeno: An Interactive Framework for Behavioral Evaluation of Machine Learning
Ángel Alexander Cabrera, Erica Fu, Donald Bertucci, Kenneth Holstein, Ameet Talwalkar, Jason I. Hong, Adam Perer
TLDRZeno, a general-purpose framework for visualizing and testing AI systems across diverse use cases, is designed and it is found that practitioners were able to reproduce previous manual analyses and discover new systematic failures.Expand
MetaExplorer: Facilitating Reasoning with Epistemic Uncertainty in Meta-analysis
Alex Kale, Sarah Lee, Terrance Goan, Elizabeth Tipton, J. Hullman
TLDRThe qualitative evaluation of MetaExplorer with experienced meta-analysts shows that imposing a structured workflow both elevates the perceived importance of epistemic concerns and presents opportunities for tools to engage users in dialogue around goals and standards for evidence aggregation.Expand
DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction
Zhijie Wang, Yuheng Huang, D. Song, Lei Ma, Tianyi Zhang
TLDRDeepSeer is an interactive system that provides both global and local explanations of RNN behavior in multiple tightly-coordinated views for model understanding and debugging, and is a state abstraction method that bundles semantically similar hidden states in an RNN model and abstracts the model as a finite state machine.Expand
Using Virtual Reality to Shape Humanity's Return to the Moon: Key Takeaways from a Design Study
Tommy Nilsson, Flavie Rometsch, Leonie Becker, Florian Dufresne, Paul de Medeiros, Enrico Guerra, A. Casini, Anna Vock, Florian Gaeremynck, A. Cowley
Revived interest in lunar exploration is heralding a new generation of design solutions in support of human operations on the Moon. While space system design has traditionally been guided by prototype depl... Expand
Memory Manipulations in Extended Reality
Elise Bonnail, É. Lecolinet, Wen-Jie Tseng, Samuel Huron, Mark McGill, Jan Gugenheimer
TLDRThrough thematic analysis, XRMMs are defined, a framework of their core components is presented and three classes are revealed (at encoding, pre-retrieval, at retrieval).Expand
PopBlends: Strategies for Conceptual Blending with Large Language Models
Sitong Wang, S. Petridis, Taeahn Kwon, Xiaojuan Ma, Lydia B. Chilton
TLDRThis work presents a system called PopBlends that automatically suggests conceptual blends, and discusses the advantages of combining large language models with knowledge bases for supporting divergent and convergent thinking.Expand
Navigates Like Me: Understanding How People Evaluate Human-Like AI in Video Games
Stephanie Milani, A. Juliani, I. Momennejad, Raluca Georgescu, Jaroslaw Rzepecki, Alison Shaw, Gavin Costello, Fei Fang, Sam Devlin, Katja Hofmann
TLDRInsight is provided into the characteristics that people consider human-like in the context of goal-directed video game navigation, which is a key step for further improving human interactions with AI agents.Expand
Online Harassment in Majority Contexts: Examining Harms and Remedies across Countries
S. Schoenebeck, Amna Batool, Gi-Chul Do, Sylvia Darling, Gabriel Grill, Daricia Wilkinson, Mehtab Khan, Kentaro Toyama, Louise Ashwell
Online harassment is a global problem. This article examines perceptions of harm and preferences for remedies associated with online harassment with nearly 4000 participants in 14 countries around the worl... Expand
Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Stickers
Julie Jiang, R. Dotsch, Mireia Roura, Yozen Liu, V'itor Silva, M. Bos, Francesco Barbieri
TLDRA large-scale dataset of the metadata of 3 billion Bitmoji stickers shared among 300 million Snapchat users finds that individual Bitmojo sticker usage patterns can be characterized jointly on dimensions of reciprocity and selectivity.Expand
"There's so much responsibility on users right now: " Expert Advice for Staying Safer From Hate and Harassment
Miranda Wei, Sunny Consolvo, Patrick Gage Kelley, Tadayoshi Kohno, Franziska Roesner, Kurt Thomas
TLDRIt is found that experts frequently had competing perspectives for which threats and advice they would prioritize, and this results inform immediate efforts to protect users from online hate and harassment, as well as more expansive socio-technical efforts to establish enduring safety.Expand
QButterfly: Lightweight Survey Extension for Online User Interaction Studies for Non-Tech-Savvy Researchers
Nico Ebert, Bjorn Scheppler, K. Ackermann, Tim Geppert
TLDRIt is concluded that this extension to display stimulus web pages and record clickstreams has the potential to make online user interaction studies (e.g., with crowdsourced participants) accessible to a broader range of researchers.Expand
Augmenting Pathologists with NaviPath: Design and Evaluation of a Human-AI Collaborative Navigation System
H. Gu, Chun-Hung Yang, Mohammad Haeri, Junchang Wang, Shirley Tang, Wenzhong Yan, Shujin He, Christopher Kazu Williams, S. Magaki, Xiang 'Anthony' Chen
Artificial Intelligence (AI) brings advancements to support pathologists in navigating high-resolution tumor images to search for pathology patterns of interest. However, existing AI-assisted tools have no... Expand
FIDO2 the Rescue? Platform vs. Roaming Authentication on Smartphones
Leon Wursching, Florentin Putz, Steffen Haesler, M. Hollick
TLDRComparing platform and roaming authentication on smartphones is presented, determining the practical strengths and weaknesses of FIDO2 as perceived by users in a mobile scenario and identifying remaining adoption barriers that prevent F IDO2 from succeeding password authentication.Expand
Blaming Humans and Machines: What Shapes People's Reactions to Algorithmic Harm
Gabriel Lima, Nina Grgi'c-Hlavca, M. Cha
Artificial intelligence (AI) systems can cause harm to people. This research examines how individuals react to such harm through the lens of blame. Building upon research suggesting that people blame AI sy... Expand
ExpresSense: Exploring a Standalone Smartphone to Sense Engagement of Users from Facial Expressions Using Acoustic Sensing
Pragma Kar, Shyamvanshikumar Singh, Avijit Mandal, Samiran Chattopadhyay, Sandip Chakraborty
TLDRThe evolution of expression detection methods is consequential, but the foundation remains mostly on image processing techniques that suffer from occlusion, ambient light.Expand
ModSandbox: Facilitating Online Community Moderation Through Error Prediction and Improvement of Automated Rules
Jean Y. Song, Sangwook Lee, Jisoo Lee, Mina Kim, Juho Kim
Despite rule-based tools for online content moderation, human moderators still a lot of time monitoring them to ensure that they work as intended. Based on surveys and interviews with Reddit moderators who... Expand
Project CiteSee

CiteSee is a paper reading tool that leverages a user's publishing, reading, and saving activities on Semantic Scholar to provide personalized visual augmentations and context around inline citations.

The Semantic Reader and CiteSee features are only available on desktop.

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