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Human-Centered AI

Human-Centered AI (HCAI) is an emerging discipline intent on creating AI systems that augment rather than displace human abilities and preserve human control in a way that ensures AI meets our needs in responsible ways.

CHI’25 Preprint Collection

18 min readMar 10, 2025

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Illustration of a female scientist in a lab coat looking through a looking glass, with sheets of papers flying in the background.

Here’s a collection of CHI’25 preprints. It’s not a comprehensive list and in no particular order. Found mostly via arXiv. Did we miss a paper? Have other interesting work you’d like to share? Please reach out to me! (bluesky, mastodon)

This list started in 2021 as a collection specifically for “HCI + AI” papers but interest in the preprint list has grown in scope and, at the same time, AI has become very prevalent in work at CHI. Therefore, I’ve now mainly invested into categorising rather than selecting papers based on their relation to AI topics.

Explainability, Bias, and (Critical) Perception of AI

  • AI, Help Me Think — but for Myself: Assisting People in Complex Decision-Making by Providing Different Kinds of Cognitive Support (arxiv)
  • Perceptions of the Fairness Impacts of Multiplicity in Machine Learning (arxiv)
  • What Lies Beneath? Exploring the Impact of Underlying AI Model Updates in AI-Infused Systems (arxiv)
  • Access Denied: Meaningful Data Access for Quantitative Algorithm Audits (arxiv)
  • Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies (arxiv)
  • Abstraction Alignment: Comparing Model-Learned and Human-Encoded Conceptual Relationships (arxiv)
  • Show Me the Work: Fact-Checkers’ Requirements for Explainable Automated Fact-Checking (arxiv)
  • Let’s Influence Algorithms Together: How Millions of Fans Build Collective Understanding of Algorithms and Organize Coordinated Algorithmic Actions (arxiv)
  • User-Driven Value Alignment: Understanding Users’ Perceptions and Strategies for Addressing Biased and Discriminatory Statements in AI Companions (arxiv)
  • A Matter of Perspective(s): Contrasting Human and LLM Argumentation in Subjective Decision-Making on Subtle Sexism (arxiv)
  • “Till I can get my satisfaction”: Open Questions in the Public Desire to Punish AI (arxiv)
  • Can AI Model the Complexities of Human Moral Decision-Making? A Qualitative Study of Kidney Allocation Decisions (arxiv)
  • Robots, Chatbots, Self-Driving Cars: Perceptions of Mind and Morality Across Artificial Intelligences (arxiv)
  • AI Mismatches: Identifying Potential Algorithmic Harms Before AI Development (arxiv)
  • Why Algorithms Remain Unjust: Power Structures Surrounding Algorithmic Activity (arxiv)
  • Explanatory Debiasing: Involving Domain Experts in the Data Generation Process to Mitigate Representation Bias in AI Systems (arxiv)
  • Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling (arxiv)
  • As Confidence Aligns: Exploring the Effect of AI Confidence on Human Self-confidence in Human-AI Decision Making (arxiv)
  • Persuasion in Pixels and Prose: The Effects of Emotional Language and Visuals in Agent Conversations on Decision-Making (pdf)
  • Knowledge Workers’ Perspectives on AI Training for Responsible AI Use (arxiv)
  • Perceptions of Sentient AI and Other Digital Minds: Evidence from the AI, Morality, and Sentience (AIMS) Survey (arxiv)
  • Objection Overruled! Lay People can Distinguish Large Language Models from Lawyers, but still Favour Advice from an LLM (arxiv)
  • ExplainitAI: When do we trust artificial intelligence? The influence of content and explainability in a cross-cultural comparison (arxiv)
  • Fewer Than 1% of Explainable AI Papers Validate Explainability with Humans (arxiv)
  • Investigating the Capabilities and Limitations of Machine Learning for Identifying Bias in English Language Data with Information and Heritage Professionals (arxiv)
  • How to Test for Compliance with Human Oversight Requirements in AI Regulation? (arxiv)

Interaction with Text and Natural Language Processing

  • Exploring Mobile Touch Interaction with Large Language Models (arxiv)
  • CorpusStudio: Surfacing Emergent Patterns in a Corpus of Prior Work while Writing (arxiv)
  • Composable Prompting Workspaces for Creative Writing: Exploration and Iteration Using Dynamic Widgets (arxiv)
  • Toyteller: AI-powered Visual Storytelling Through Toy-Playing with Character Symbols (arxiv)
  • From Text to Trust: Empowering AI-assisted Decision Making with Adaptive LLM-powered Analysis (arxiv)
  • Prompting in the Dark: Assessing Human Performance in Prompt Engineering for Data Labeling When Gold Labels Are Absent (arxiv)
  • A Taxonomy of Linguistic Expressions That Contribute To Anthropomorphism of Language Technologies (arxiv)
  • Script&Shift: A Layered Interface Paradigm for Integrating Content Development and Rhetorical Strategy with LLM Writing Assistants (arxiv)
  • Making the Write Connections: Linking Writing Support Tools with Writer’s Needs (arxiv)
  • Textoshop: Interactions Inspired by Drawing Software to Facilitate Text Editing (arxiv)
  • WhatELSE: Shaping Narrative Spaces at Configurable Level of Abstraction for AI-bridged Interactive Storytelling (arxiv)
  • VeriPlan: Integrating Formal Verification and LLMs into End-User Planning (arxiv)
  • Can AI writing be salvaged? Mitigating Idiosyncrasies and Improving Human-AI Alignment in the Writing Process through Edits (arxiv)
  • Canvil: Designerly Adaptation for LLM-Powered User Experiences (arxiv)
  • Creative Writers’ Attitudes on Writing as Training Data for Large Language Models (arxiv)
  • End User Authoring of Personalized Content Classifiers: Comparing Example Labeling, Rule Writing, and LLM Prompting (arxiv)
  • ChainBuddy: An AI Agent System for Generating LLM Pipelines (arxiv)
  • Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making (arxiv)
  • ClueCart: Supporting Game Story Interpretation and Narrative Inference from Fragmented Clues (arxiv)
  • AI Suggestions Homogenize Writing Toward Western Styles and Diminish Cultural Nuances (arxiv)
  • “This could save us months of work” — Use Cases of AI and Automation Support in Investigative Journalism (arxiv)
  • Ontologies in Design: How Imagining a Tree Reveals Possibilites and Assumptions in Large Language Models (arxiv)

AI-mediated Communication

  • Content-Driven Local Response: Supporting Sentence-Level and Message-Level Mobile Email Replies With and Without AI (arxiv)
  • Towards AI-driven Sign Language Generation with Non-manual Markers (arxiv)
  • Enhancing Deliberativeness: Evaluating the Impact of Multimodal Reflection Nudges (arxiv)
  • Applying the Gricean Maxims to a Human-LLM Interaction Cycle: Design Insights from a Participatory Approach (arxiv)
  • Social-RAG: Retrieving from Group Interactions to Socially Ground AI Generation (arxiv)
  • “Ronaldo’s a poser!”: How the Use of Generative AI Shapes Debates in Online Forums (arxiv)
  • Understanding and Supporting Peer Review Using AI-reframed Positive Summary (arxiv)
  • Are We On Track? AI-Assisted Active and Passive Goal Reflection During Meetings (arxiv)

Interaction with Code

  • How Scientists Use Large Language Models to Program (arxiv)
  • Beyond Code Generation: LLM-supported Exploration of the Program Design Space (pdf)
  • InterLink: Linking Text with Code and Output in Computational Notebooks (arxiv)
  • Examining the Use and Impact of an AI Code Assistant on Developer Productivity and Experience in the Enterprise (arxiv)
  • Need Help? Designing Proactive AI Assistants for Programming (arxiv)
  • Code Shaping: Iterative Code Editing with Free-form AI-Interpreted Sketching (arxiv)
  • InstructPipe: Generating Visual Blocks Pipelines with Human Instructions and LLMs (arxiv)
  • The Impact of Generative AI Coding Assistants on Developers Who Are Visually Impaired (arxiv)

Inspiration and Ideation

  • Human Creativity in the Age of LLMs: Randomized Experiments on Divergent and Convergent Thinking (arxiv)
  • Infrastructures for Inspiration: The Routine Construction of Creative Identity and Inspiration (arxiv)
  • AIdeation: Designing a Human-AI Collaborative Ideation System for Concept Designers (arxiv)
  • Proxona: Supporting Creators’ Sensemaking and Ideation with LLM-Powered Audience Personas (arxiv)
  • Dancing With Chains: Ideating Under Constraints With UIDEC in UI/UX Design (arxiv)
  • Inkspire: Supporting Design Exploration with Generative AI through Analogical Sketching (arxiv)
  • Leveraging Multimodal LLM for Inspirational User Interface Search (arxiv)
  • No Evidence for LLMs Being Useful in Problem Reframing (arxiv)
  • BioSpark: Beyond Analogical Inspiration to LLM-augmented Transfer (arxiv)
  • From Consumption to Collaboration: Measuring Interaction Patterns to Augment Human Cognition in Open-Ended Tasks (arxiv)

Design Tools and Tool Design

  • Breaking the Midas Spell:Understanding Progressive Novice-AI Collaboration in Spatial Design (arxiv)
  • DesignWeaver: Dimensional Scaffolding for Text-to-Image Product Design (arxiv)
  • FontCraft: Multimodal Font Design Using Interactive Bayesian Optimization (arxiv)
  • AI-Instruments: Embodying Prompts as Instruments to Abstract & Reflect Graphical Interface Commands as General-Purpose Tools (arxiv)
  • Brickify: Enabling Expressive Design Intent Specification through Direct Manipulation on Design Tokens (arxiv)
  • Encountering Robotic Art: The Social, Material, and Temporal Processes of Creation with Machines (arxiv)
  • HarmonyCut: Supporting Creative Chinese Paper-cutting Design with Form and Connotation Harmony (arxiv)

Co-creating with AI

  • Beyond Automation: How UI/UX Designers Perceive AI as a Creative Partner in the Divergent Thinking Stages (arxiv)
  • Exploring the Needs of Practising Musicians in Co-Creative AI Through Co-Design (arxiv)
  • Understanding Screenwriters’ Practices, Attitudes, and Future Expectations in Human-AI Co-Creation (arxiv)
  • Bridging Generations using AI-Supported Co-Creative Activities (arxiv)
  • Which Contributions Deserve Credit? Perceptions of Attribution in Human-AI Co-Creation (arxiv)
  • Intent Tagging: Exploring Micro-Prompting Interactions for Supporting Granular Human-GenAI Co-Creation Workflows (arxiv)
  • ReaLJam: Real-Time Human-AI Music Jamming with Reinforcement Learning-Tuned Transformers (arxiv)
  • Amuse: Human-AI Collaborative Songwriting with Multimodal Inspirations (arxiv)
  • “I Like Your Story!”: A Co-Creative Story-Crafting Game with a Persona-Driven Character Based on Generative AI (arxiv)

Interaction with Bots and Agents

  • Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant (arxiv)
  • Chatbot Companionship: A Mixed-Methods Study of Companion Chatbot Usage Patterns and Their Relationship to Loneliness in Active Users (arxiv)
  • Observe, Ask, Intervene: Designing AI Agents for More Inclusive Meetings (arxiv)
  • Conversation Progress Guide: UI System for Enhancing Self-Efficacy in Conversational AI (arxiv)
  • User Experience with LLM-powered Conversational Recommendation Systems: A Case of Music Recommendation (arxiv)
  • CHOIR: Chat-based Helper for Organizational Intelligence Repository (arxiv)
  • Interactive Debugging and Steering of Multi-Agent AI Systems (arxiv)
  • AI on My Shoulder: Supporting Emotional Labor in Front-Office Roles with an LLM-based Empathetic Coworker (arxiv)
  • Proactive Conversational Agents with Inner Thoughts (arxiv)
  • MAP: Multi-user Personalization with Collaborative LLM-powered Agents (arxiv)
  • Conversational Agents as Catalysts for Critical Thinking: Challenging Social Influence in Group Decision-making (arxiv)
  • Does the Appearance of Autonomous Conversational Robots Affect User Spoken Behaviors in Real-World Conference Interactions? (arxiv)
  • Plurals: A System for Guiding LLMs Via Simulated Social Ensembles (arxiv)
  • BanglAssist: A Bengali-English Generative AI Chatbot for Code-Switching and Dialect-Handling in Customer Service (arxiv)

Interaction with Robots

  • corobos: A Design for Mobile Robots Enabling Cooperative Transitions between Table and Wall Surfaces (arxiv)
  • 3HANDS Dataset: Learning from Humans for Generating Naturalistic Handovers with Supernumerary Robotic Limbs (arxiv)
  • GenComUI: Exploring Generative Visual Aids as Medium to Support Task-Oriented Human-Robot Communication (arxiv)
  • Can you pass that tool?: Implications of Indirect Speech in Physical Human-Robot Collaboration (arxiv)
  • Signaling Human Intentions to Service Robots: Understanding the Use of Social Cues during In-Person Conversations (arxiv)

AR/VR/XR/MR

  • AlphaPIG: The Nicest Way to Prolong Interactive Gestures in Extended Reality (arxiv)
  • From Following to Understanding: Investigating the Role of Reflective Prompts in AR-Guided Tasks to Promote Task Understanding (arxiv)
  • Everyday AR through AI-in-the-Loop (arxiv)
  • AiGet: Transforming Everyday Moments into Hidden Knowledge Discovery with AI Assistance on Smart Glasses (arxiv)
  • MaRginalia: Enabling In-person Lecture Capturing and Note-taking Through Mixed Reality (arxiv)
  • To Shelter or Not To Shelter: Exploring the Influence of Different Modalities in Virtual Reality on Individuals’ Tornado Mitigation Behaviors (arxiv)
  • CoCreatAR: Enhancing Authoring of Outdoor Augmented Reality Experiences Through Asymmetric Collaboration (arxiv)
  • Modeling the Impact of Visual Stimuli on Redirection Noticeability with Gaze Behavior in Virtual Reality (arxiv)
  • Breaking the Familiarity Bias: Employing Virtual Reality Environments to Enhance Team Formation and Inclusion (arxiv)
  • “You’ll Be Alice Adventuring in Wonderland!” Processes, Challenges, and Opportunities of Creating Animated Virtual Reality Stories (arxiv)
  • Ad-Blocked Reality: Evaluating User Perceptions of Content Blocking Concepts Using Extended Reality (pdf)
  • Optimizing Curve-Based Selection with On-Body Surfaces in Virtual Environments (arxiv)
  • ARbiter: Generating Dialogue Options and Communication Support in Augmented Reality (arxiv)
  • CreepyCoCreator? Investigating AI Representation Modes for 3D Object Co-Creation in Virtual Reality (arxiv)
  • Facilitating Daily Practice in Intangible Cultural Heritage through Virtual Reality (arxiv)
  • Augmenting Teamwork through AI Agents as Spatial Collaborators (arxiv)
  • Facilitating Daily Practice in Intangible Cultural Heritage through Virtual Reality: A Case Study of Traditional Chinese Flower Arrangement (arxiv)
  • Text Entry for XR Trove (TEXT): Collecting and Analyzing Techniques for Text Input in XR (arxiv)
  • Concert Interaction Translation: Augmenting VR Live Concert Experience using Chat-Driven Artificial Collective Reactions (arxiv)
  • Virtual Voyages: Evaluating the Role of Real-Time and Narrated Virtual Tours in Shaping User Experience and Memories (arxiv)
  • Of Affordance Opportunism in AR: Its Fallacies and Discussing Ways Forward (arxiv)
  • Traversing Dual Realities: Investigating Techniques for Transitioning 3D Objects between Desktop and Augmented Reality Environments (arxiv)
  • Illusion Spaces in VR: The Interplay Between Size and Taper Angle Perception in Grasping (arxiv)
  • Do We Need Responsible XR? Drawing on Responsible AI to Inform Ethical Research and Practice into XRAI / the Metaverse (arxiv)
  • Managing Information Overload in Large-Scale Distributed Mixed-Reality Meetings (arxiv)
  • TangibleNet: Synchronous Network Data Storytelling through Tangible Interactions in Augmented Reality (arxiv)

Images and Videos

  • Characterizing Photorealism and Artifacts in Diffusion Model-Generated Images (arxiv)
  • ArtMentor: AI-Assisted Evaluation of Artworks to Explore Multimodal Large Language Models Capabilities (arxiv)
  • Creative Blends of Visual Concepts (arxiv)
  • GenColor: Generative Color-Concept Association in Visual Design (arxiv)
  • VTuber’s Atelier: The Design Space, Challenges, and Opportunities for VTubing (arxiv)
  • Making AI-Enhanced Videos: Analyzing Generative AI Use Cases in YouTube Content Creation (arxiv)
  • OmniQuery: Contextually Augmenting Captured Multimodal Memory to Enable Personal Question Answering (arxiv)
  • VideoDiff: Human-AI Video Co-Creation with Alternatives (arxiv)
  • Expandora: Broadening Design Exploration with Text-to-Image Model (arxiv)
  • SketchFlex: Facilitating Spatial-Semantic Coherence in Text-to-Image Generation with Region-Based Sketches (arxiv)
  • FusAIn: Composing Generative AI Visual Prompts Using Pen-based Interaction (pdf)

Infovis and Data Analytics

  • Reflecting on Design Paradigms of Animated Data Video Tools (arxiv)
  • GistVis: Automatic Generation of Word-scale Visualizations from Data-rich Documents (arxiv)
  • Jupybara: Operationalizing a Design Space for Actionable Data Analysis and Storytelling with LLMs (arxiv)
  • Unveiling High-dimensional Backstage: A Survey for Reliable Visual Analytics with Dimensionality Reduction (arxiv)
  • Divisi: Interactive Search and Visualization for Scalable Exploratory Subgroup Analysis (arxiv)
  • Tempo: Helping Data Scientists and Domain Experts Collaboratively Specify Predictive Modeling Tasks (arxiv)
  • The Social Construction of Visualizations: Practitioner Challenges and Experiences of Visualizing Race and Gender Demographic Data (arxiv)
  • RouteFlow: Trajectory-Aware Animated Transitions (arxiv)
  • Seeing Eye to AI? Applying Deep-Feature-Based Similarity Metrics to Information Visualization (arxiv)
  • Tactile Vega-Lite: Rapidly Prototyping Tactile Charts with Smart Defaults (arxiv)
  • ZuantuSet: A Collection of Historical Chinese Visualizations and Illustrations (arxiv)
  • Reimagining Personal Data: Unlocking the Potential of AI-Generated Images in Personal Data Meaning-Making (arxiv)
  • Comparing Native and Non-native English Speakers’ Behaviors in Collaborative Writing through Visual Analytics (arxiv)
  • Toward Filling a Critical Knowledge Gap: Charting the Interactions of Age with Task and Visualization (arxiv)
  • Xavier: Toward Better Coding Assistance in Authoring Tabular Data Wrangling Scripts (arxiv)
  • What-if Analysis for Business Professionals: Current Practices and Future Opportunities (arxiv)
  • Dango: A Mixed-Initiative Data Wrangling System using Large Language Model (arxiv)
  • Exploring Empty Spaces: Human-in-the-Loop Data Augmentation (arxiv)
  • Malleable Overview-Detail Interfaces (arxiv)
  • StructVizor: Interactive Profiling of Semi-Structured Textual Data (arxiv)
  • VizTrust: A Visual Analytics Tool for Capturing User Trust Dynamics in Human-AI Communication (arxiv)
  • Disentangling the Power Dynamics in Participatory Data Physicalisation (arxiv)
  • Generative AI in Knowledge Work: Design Implications for Data Navigation and Decision-Making (arxiv)
  • Enhancing Computational Notebooks with Code+Data Space Versioning (arxiv)

Accessibility

  • The Dilemma of Building Do-It-Yourself (DIY) Solutions for Workplace Accessibility (arxiv)
  • ELMI: Interactive and Intelligent Sign Language Translation of Lyrics for Song Signing (arxiv)
  • AACessTalk: Fostering Communication between Minimally Verbal Autistic Children and Parents with Contextual Guidance and Card Recommendation (arxiv)
  • SpellRing: Recognizing Continuous Fingerspelling in American Sign Language using a Ring (arxiv)
  • SpeechCompass: Enhancing Mobile Captioning with Diarization and Directional Guidance via Multi-Microphone Localization (arxiv)
  • VisiMark: Characterizing and Augmenting Landmarks for People with Low Vision in Augmented Reality to Support Indoor Navigation (arxiv)
  • How Users Who are Blind or Low Vision Play Mobile Games: Perceptions, Challenges, and Strategies (arxiv)
  • “It Brought the Model to Life”: Exploring the Embodiment of Multimodal I3Ms for People who are Blind or have Low Vision (arxiv)
  • VideoA11y: Method and Dataset for Accessible Video Description (arxiv)
  • Sensing Movement: Contemporary Dance Workshops with People who are Blind or have Low Vision and Dance Teachers (arxiv)
  • Accessibility for Whom? Perceptions of Sidewalk Barriers Across Disability Groups and Implications for Designing Personalized Maps (arxiv)
  • OSCAR: Object Status and Contextual Awareness for Recipes to Support Non-Visual Cooking (arxiv)
  • Towards Understanding the Use of MLLM-Enabled Applications for Visual Interpretation by Blind and Low Vision People (arxiv)
  • Evaluating ASR Confidence Scores for Automated Error Detection in User-Assisted Correction Interfaces (arxiv)
  • Communication Access Real-Time Translation Through Collaborative Correction of Automatic Speech Recognition (arxiv)
  • Beyond Omakase: Designing Shared Control for Navigation Robots with Blind People (arxiv)
  • Towards More Accessible Scientific PDFs for People with Visual Impairments: Step-by-Step PDF Remediation to Improve Tag Accuracy (arxiv)
  • Let AI Read First: Enhancing Reading Abilities for Individuals with Dyslexia through Artificial Intelligence (arxiv)
  • ScreenAudit: Detecting Screen Reader Accessibility Errors in Mobile Apps Using Large Language Models (arxiv)

AI & Data in Practice, Life, and Media

  • Governance of Generative AI in Creative Work: Consent, Credit, Compensation, and Beyond (arxiv)
  • End-user Comprehension of Transfer Risks in Smart Contracts (arxiv)
  • Public Opinions About Copyright for AI-Generated Art: The Role of Egocentricity, Competition, and Experience (arxiv)
  • Cleaning Up the Streets: Understanding Motivations, Mental Models, and Concerns of Users Flagging Social Media Content (arxiv)
  • Generative AI Uses and Risks for Knowledge Workers in a Science Organization (arxiv)
  • PolicyCraft: Supporting Collaborative and Participatory Policy Design through Case-Grounded Deliberation (arxiv)
  • Community Fact-Checks Trigger Moral Outrage in Replies to Misleading Posts on Social Media (arxiv)
  • “Business on WhatsApp is tough now- but am I really a businesswoman?” Exploring Challenges with Adapting to Changes in WhatsApp Business (arxiv)
  • The Datafication of Care in Public Homelessness Services (arxiv)
  • “It Might be Technically Impressive, But It’s Practically Useless to us”: Motivations, Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industry (arxiv)
  • Untold Stories: Unveiling the Scarce Contributions of UX Professionals to Usability Issue Discussions of Open Source Software Projects (arxiv)
  • Who Reaps All the Superchats? A Large-Scale Analysis of Income Inequality in Virtual YouTuber Livestreaming (arxiv)
  • Less Talk, More Trust: Understanding Players’ In-game Assessment of Communication Processes in League of Legends (arxiv)
  • Lost in Moderation: How Commercial Content Moderation APIs Over- and Under-Moderate Group-Targeted Hate Speech and Linguistic Variations (arxiv)
  • Emerging Practices in Participatory AI Design in Public Sector Innovation (arxiv)
  • “Impressively Scary:” Exploring User Perceptions and Reactions to Unraveling Machine Learning Models in Social Media Applications (arxiv)
  • A Law of One’s Own: The Inefficacy of the DMCA for Non-Consensual Intimate Media (arxiv)
  • Talking About the Assumption in the Room (arxiv)
  • Labeling Synthetic Content: User Perceptions of Warning Label Designs for AI-generated Content on Social Media (arxiv)
  • AI Rules? Characterizing Reddit Community Policies Towards AI-Generated Content (arxiv)
  • Social Media Journeys — Mapping Platform Migration (arxiv)
  • Social Media for Activists: Reimagining Safety, Content Presentation, and Workflows (arxiv)
  • Generative AI and News Consumption: Design Fictions and Critical Analysis (arxiv)
  • Who Should Set the Standards? Analysing Censored Arabic Content on Facebook during the Palestine-Israel Conflict (arxiv)

(Usable) Privacy, Security, Safety

  • Expert-Generated Privacy Q&A Dataset for Conversational AI and User Study Insights (arxiv)
  • “Auntie, Please Don’t Fall for Those Smooth Talkers”: How Chinese Younger Family Members Safeguard Seniors from Online Fraud (arxiv)
  • OSINT Clinic: Co-designing AI-Augmented Collaborative OSINT Investigations for Vulnerability Assessment (arxiv)
  • Rescriber: Smaller-LLM-Powered User-Led Data Minimization for LLM-Based Chatbots (arxiv)
  • “Create a Fear of Missing Out” — ChatGPT Implements Unsolicited Deceptive Designs in Generated Websites Without Warning (arxiv)
  • The Illusion of Privacy: Investigating User Misperceptions in Browser Tracking Protection (pdf)
  • “You don’t need a university degree to comprehend data protection this way”: LLM-Powered Interactive Privacy Policy Assessment (arxiv)
  • No Silver Bullet: Towards Demonstrating Secure Software Development for Danish Small and Medium Enterprises in a Business-to-Business Model (arxiv)
  • A Comparative Study of How People With and Without ADHD Recognise and Avoid Dark Patterns on Social Media (arxiv)
  • Prevalence and Impacts of Image-Based Sexual Abuse Victimization: A Multinational Study (arxiv)
  • Raising Awareness of Location Information Vulnerabilities in Social Media Photos using LLMs (arxiv)
  • A Cross-Country Analysis of GDPR Cookie Banners and Flexible Methods for Scraping Them (arxiv)

Education, Learning, and Instructions

  • eaSEL: Promoting Social-Emotional Learning and Parent-Child Interaction through AI-Mediated Content Consumption (arxiv)
  • Mentigo: An Intelligent Agent for Mentoring Students in the Creative Problem Solving Process (arxiv)
  • Co-designing Large Language Model Tools for Project-Based Learning with K12 Educators (arxiv)
  • Understanding the Influence of Electrical Muscle Stimulation on Motor Learning: Enhancing Motor Learning or Disrupting Natural Progression? (pdf)
  • “Don’t Forget the Teachers”: Towards an Educator-Centered Understanding of Harms from Large Language Models in Education (arxiv)
  • Unlocking Scientific Concepts: How Effective Are LLM-Generated Analogies for Student Understanding and Classroom Practice? (arxiv)
  • TutorUp: What If Your Students Were Simulated? Training Tutors to Address Engagement Challenges in Online Learning (arxiv)
  • Characterizing LLM-Empowered Personalized Story-Reading and Interaction for Children: Insights from Multi-Stakeholder Perspectives (arxiv)
  • Towards Multimodal Large-Language Models for Parent-Child Interaction: A Focus on Joint Attention (arxiv)
  • Scaffolding Empathy: Training Counselors with Simulated Patients and Utterance-level Performance Visualizations (arxiv)
  • Utilizing ChatGPT in a Data Structures and Algorithms Course: A Teaching Assistant’s Perspective (arxiv)
  • Beyond the “Industry Standard”: Focusing Gender-Affirming Voice Training Technologies on Individualized Goal Exploration (arxiv)
  • DBox: Scaffolding Algorithmic Programming Learning through Learner-LLM Co-Decomposition (arxiv)
  • TeachTune: Reviewing Pedagogical Agents Against Diverse Student Profiles with Simulated Students (arxiv)
  • LearnMate: Enhancing Online Education with LLM-Powered Personalized Learning Plans and Support (arxiv)
  • Bridging the Early Science Gap with Artificial Intelligence: Evaluating Large Language Models as Tools for Early Childhood Science Education (arxiv)
  • StreetScape: Gamified Tactile Interactions for Collaborative Learning and Play (arxiv)
  • Briteller: Shining a Light on AI Recommendations for Children (arxiv)
  • Facilitating Instructors-LLM Collaboration for Problem Design in Introductory Programming Classrooms (arxiv)
  • Exploring the Impact of an LLM-Powered Teachable Agent on Learning Gains and Cognitive Load in Music Education (arxiv)
  • Interactive Sketchpad: A Multimodal Tutoring System for Collaborative, Visual Problem-Solving (arxiv)
  • Beyond the Winding Path of Learning: Exploring Affective, Cognitive, and Action-Oriented Prompts for Communication Skills (arxiv)
  • How Do Teachers Create Pedagogical Chatbots?: Current Practices and Challenges (arxiv)

Health and Wellbeing

  • Human-Precision Medicine Interaction: Public Perceptions of Polygenic Risk Score for Genetic Health Prediction (arxiv)
  • Exploring Data-Driven Advocacy in Home Health Care Work (arxiv)
  • TeamVision: An AI-powered Learning Analytics System for Supporting Reflection in Team-based Healthcare Simulation (arxiv)
  • ExploreSelf: Fostering User-driven Exploration and Reflection on Personal Challenges with Adaptive Guidance by Large Language Models (arxiv)
  • Deconstructing Depression Stigma: Integrating AI-driven Data Collection and Analysis with Causal Knowledge Graphs (arxiv)
  • Exploring Personalized Health Support through Data-Driven, Theory-Guided LLMs: A Case Study in Sleep Health (arxiv)
  • “Kya family planning after marriage hoti hai?”: Integrating Cultural Sensitivity in an LLM Chatbot for Reproductive Health (arxiv)
  • AI-Enabled Conversational Journaling for Advancing Parkinson’s Disease Symptom Tracking (arxiv)
  • eXplainMR: Generating Real-time Textual and Visual eXplanations to Facilitate UltraSonography Learning in MR (arxiv)
  • Wearable Meets LLM for Stress Management: A Duoethnographic Study Integrating Wearable-Triggered Stressors and LLM Chatbots for Personalized Interventions (arxiv)
  • A Bridge to Nowhere: A Healthcare Case Study for Non-Reformist Design (arxiv)
  • Diagrammatization and Abduction to Improve AI Interpretability With Domain-Aligned Explanations for Medical Diagnosis (arxiv)
  • Can Large Language Models Grasp Concepts in Visual Content? A Case Study on YouTube Shorts about Depression (arxiv)
  • “Sighted People Have Their Pick Of The Litter”: Unpacking The Need For Digital Mental Health (DMH) Tracking Services With And For The Blind Community (arxiv)
  • Advancing Problem-Based Learning with Clinical Reasoning for Improved Differential Diagnosis in Medical Education (arxiv)
  • Exploring Socio-Cultural Challenges and Opportunities in Designing Mental Health Chatbots for Adolescents in India (arxiv)
  • Envisioning an AI-Enhanced Mental Health Ecosystem (arxiv)
  • Who is Trusted for a Second Opinion? Comparing Collective Advice from a Medical AI and Physicians in Biopsy Decisions After Mammography Screening (RG)
  • Toward a Human-Centered AI-assisted Colonoscopy System in Australia (arxiv)
  • “Don’t You Dare Go Hollow”: How Dark Souls Helps Players Cope with Depression, a Thematic Analysis of Reddit Discussions (pdf)
  • From Solo to Social: Exploring the Dynamics of Player Cooperation in a Co-located Cooperative Exergame (arxiv)

Fabrication, Hardware, Wearable and Tangible Interfaces

  • Draw2Cut: Direct On-Material Annotations for CNC Milling (arxiv)
  • ExoKit: A Toolkit for Rapid Prototyping of Interactions for Arm-based Exoskeletons (arxiv)
  • PCB Renewal: Iterative Reuse of PCB Substrates for Sustainable Electronic Making (arxiv)
  • Make Making Sustainable: Exploring Sustainability Practices, Challenges, and Opportunities in Making Activities (arxiv)
  • HaloTouch: Using IR Multi-path Interference to Support Touch Interactions With General Surfaces (arxiv)
  • BudsID: Mobile-Ready and Expressive Finger Identification Input for Earbuds (arxiv)
  • Cross, Dwell, or Pinch: Designing and Evaluating Around-Device Selection Methods for Unmodified Smartwatches (arxiv)
  • Imprinto: Enhancing Infrared Inkjet Watermarking for Human and Machine Perception (arxiv)
  • Fits like a Flex-Glove: Automatic Design of Personalized FPCB-Based Tactile Sensing Gloves (arxiv)
  • Shape-Kit: A Design Toolkit for Crafting On-Body Expressive Haptics (arxiv)
  • The EnviroMapper Toolkit: an Input Physicalisation that Captures the Situated Experience of Environmental Comfort in Offices (arxiv)

Perspectives, Surveys, and Reflections

  • Toward Living Narrative Reviews: An Empirical Study of the Processes and Challenges in Updating Survey Articles in Computing Research (arxiv)
  • Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Review (arxiv)
  • Keeping Score: A Quantitative Analysis of How the CHI Community Appreciates Its Milestones (arxiv)
  • Past, Present, and Future of Citation Practices in HCI (arxiv)
  • Let’s Talk Futures: A Literature Review of HCI’s Future-Orientation (arxiv)
  • Vision-Based Multimodal Interfaces: A Survey and Taxonomy for Enhanced Context-Aware System Design (arxiv)

Methodology, Metrics, Models, and Research Tools

  • What Makes a Model Breathe? Understanding Reinforcement Learning Reward Function Design in Biomechanical User Simulation (arxiv)
  • LLMs as Workers in Human-Computational Algorithms? Replicating Crowdsourcing Pipelines with LLMs (arxiv)
  • Development of the Critical Reflection and Agency in Computing Index (arxiv)
  • What Social Media Use Do People Regret? An Analysis of 34K Smartphone Screenshots with Multimodal LLM (arxiv)
  • REVERSIM: An Open-Source Environment for the Controlled Study of Human Aspects in Hardware Reverse Engineering (arxiv)
  • Continual Human-in-the-Loop Optimization (arxiv)
  • Chatbots for Data Collection in Surveys: A Comparison of Four Theory-Based Interview Probes (arxiv)
  • Twin Transition or Competing Interests? Validation of the Artificial Intelligence and Sustainability Perceptions Inventory (AISPI) (arxiv)

Automotive, City, Home, Navigation

  • You Shall Not Pass: Warning Drivers of Unsafe Overtaking Maneuvers on Country Roads by Predicting Safe Sight Distance (arxiv)
  • Improving External Communication of Automated Vehicles Using Bayesian Optimization (arxiv)
  • Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine Learning (arxiv)
  • What Did My Car Say? Impact of Autonomous Vehicle Explanation Errors and Driving Context On Comfort, Reliance, Satisfaction, and Driving Confidence (arxiv)
  • People Attribute Purpose to Autonomous Vehicles When Explaining Their Behavior: Insights from Cognitive Science for Explainable AI (arxiv)
  • Blending the Worlds: World-Fixed Visual Appearances in Automotive Augmented Reality (arxiv)
  • Augmented Journeys: Interactive Points of Interest for In-Car Augmented Reality (arxiv)
  • Generative AI as a Playful yet Offensive Tourist: Exploring Tensions Between Playful Features and Citizen Concerns in Designing Urban Play (arxiv)
  • Introducing ROADS: A Systematic Comparison of Remote Control Interaction Concepts for Automated Vehicles at Road Works (arxiv)
  • Bumpy Ride? Understanding the Effects of External Forces on Spatial Interactions in Moving Vehicles (arxiv)
  • “What If Smart Homes Could See Our Homes?”: Exploring DIY Smart Home Building Experiences with VLM-Based Camera Sensors (arxiv)
  • OptiCarVis: Improving Automated Vehicle Functionality Visualizations Using Bayesian Optimization to Enhance User Experience (arxiv)

Other

  • Toward Human-Quantum Computer Interaction: Interface Techniques for Usable Quantum Computing (arxiv)

Dora Zhao has created a plugin for conversational search across the preprints/abstracts: https://knollapp.com/add/Fg0RrjWpOKg37BXyEWpf

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Human-Centered AI
Human-Centered AI

Published in Human-Centered AI

Human-Centered AI (HCAI) is an emerging discipline intent on creating AI systems that augment rather than displace human abilities and preserve human control in a way that ensures AI meets our needs in responsible ways.

Daniel Buschek
Daniel Buschek

Written by Daniel Buschek

Professor at University of Bayreuth, Germany. Human-computer interaction, intelligent user interfaces, interactive AI.