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Keywords *large language Model* *llm* Chatgpt



  • 1. How Well do LLMs Assist Parents in Assessing Child Appropriateness of Videos?

  • 2. "Are we writing an advice column for Spock here?" Understanding Stereotypes in AI Advice for Autistic Users

  • 3. "Can LLMs Persuade Humans with Deception?": From a Deceptive Strategy Taxonomy to a Large-Scale Empirical Study

  • 4. "Hey Dashboard!": Supporting Voice, Text, and Pointing Modalities in Dashboard Onboarding using Large Language Models

  • 5. "I Just Need GPT to Refine My Prompts”: Rethinking Onboarding and Help-Seeking with Generative 3D Modelling Tools

  • 6. "I Wouldn't Really Use It as a Practice Tool": Understanding Medical Students’ Perspectives and Needs on LLM-Enhanced Clinical Skills Training

  • 7. "Not Human, Funnier": How Machine Identity Shapes Humor Perception in Online AI Stand-up Comedy

  • 8. "Shall We Dig Deeper?": Designing and Evaluating Strategies for LLM Agents to Advance Knowledge Co-Construction in Asynchronous Online Discussions

  • 9. "The AI tool can’t make it any worse." Investigating Developers’ Security Behavior with AI Assistants in a Password Storage Study

  • 10. "What Are You Doing?": Effects of Intermediate Feedback from Agentic LLM In-Car Assistants During Multi-Step Processing

  • 11. (Re)mediators of Epistemic Injustice: Generative AI and Hermeneutic Resource Provision in Intimate Partner Violence

  • 12. A Conditional Companion: Lived Experiences of People with Mental Health Disorders Using LLMs

  • 13. A Scoping Review and Guidelines on Privacy Policy's Visualization from an HCI Perspective

  • 14. ADCanvas: Accessible and Conversational Audio Description Authoring for Blind and Low Vision Creators

  • 15. AI That Moves With You: A Review of Interactive Technologies Powered by Large Foundation Models for Mobility Impairment

  • 16. AI and My Values: User Perceptions of LLMs’ Ability to Extract, Embody, and Explain Human Values from Casual Conversations

  • 17. AI as We Describe It: How Large Language Models and Their Applications in Health are Represented Across Channels of Public Discourse

  • 18. AI meets Mathematics Education: Supporting Instructors in Large Mathematics Classes with Context-Aware AI

  • 19. AI-Facilitated Coercive Control: An Experimental Study

  • 20. AI-Mediated Feedback Improves Student Revisions: A Randomized Trial with FeedbackWriter in a Large Undergraduate Course

  • 21. AI-exhibited Personality Traits Can Shape Human Self-concept through Conversations

  • 22. AI-generated AR Reassembly Guidance from Disassembly Videos to Scaffold Everyday Repair

  • 23. ASL Educators’ Perspectives on AI for Enhancing Student Learning in American Sign Language Education

  • 24. AgentCoach: LLM-Based Adaptive Coaching Feedback for Motor Skill Learning

  • 25. AgentHands: Generating Interactive Hand Gestures for Spatially Grounded Agent Conversations in XR

  • 26. All Accept, No Reject: Evaluating LLMs as “Peer” Reviewers

  • 27. All Futures at Once: Supporting Speculative Design for Placemaking with Multi-Agent Social Simulation

  • 28. AmIWrite: Exploring Scalable One-on-One Handwriting-Based Tutoring for Mathematical Problem-Solving with an LLM-Powered AI Tutor

  • 29. An Empirical Study to Understand How Students Use ChatGPT for Writing Essays

  • 30. An Expert Schema for Evaluating Large Language Model Errors in Scholarly Question-Answering Systems

  • 31. An LLM-based Motivation-Aware Framework For AI Coaching For Behaviour Change

  • 32. Are Semantic Networks Associated with Idea Originality in Artificial Creativity? A Comparison with Human Agents

  • 33. AskNow: An LLM-powered Interactive System for Real-Time Question Answering in Large-Scale Classrooms

  • 34. Augmenting Clinical Decision-Making with an Interactive and Interpretable AI Copilot: A Real-World User Study with Clinicians in Nephrology and Obstetrics

  • 35. Authorship Drift: How Self-Efficacy and Trust Evolve During LLM-Assisted Writing

  • 36. Automate, Assist, Avoid: Caseworkers’ Perspectives on Applying Large Language Model-Based Assistance in Public Sector Decision-Making Processes

  • 37. Be Friendly, Not Friends: How LLM Sycophancy Shapes User Trust

  • 38. Behavioral Indicators of Overreliance During Interaction with Conversational Language Models

  • 39. Belief Updating and Delegation in Multi-Task Human–AI Interaction: Evidence from Controlled Simulations

  • 40. Beyond Accuracy: Experts See AI Fact-Checks as Accurate but Less Useful

  • 41. Beyond Euphemisms: Rethinking LLMs for SRH in Conservative Contexts

  • 42. Beyond PII: How Users Attempt to Estimate and Mitigate Implicit LLM Inference

  • 43. Beyond Precision: Understanding the Impact of Algorithmic Accuracy and Transparency on User Perceptions in Keyword-Driven Contextual Advertising

  • 44. Black LLMirror: User (Self) Perceptions in Black American English Interactions with LLMs

  • 45. Bloom: Designing for LLM-Augmented Behavior Change Interactions

  • 46. Botender: Supporting Communities in Collaboratively Designing AI Agents through Case-Based Provocations

  • 47. Breaking News or Breaking Trust? Exploring Challenges and a Design Space for Trustworthy LLM Integration in Journalism

  • 48. Building Benchmarks from the Ground Up: Community-Centered Evaluation of LLMs in Healthcare Chatbot Settings

  • 49. CASEbot: A Conversational Agent for Structuring and Personalizing the Design of Self-Experiments in Personal Health

  • 50. CHOIR: A Chatbot-mediated Organizational Memory Leveraging Communication in University Research Labs

  • 51. Campus AI vs. Commercial AI: Comparing How Students and Employees Perceive their University’s LLM Chatbot vs. ChatGPT

  • 52. Can Good Writing Be Generative? Expert-Level AI Writing Emerges through Fine-Tuning on High Quality Books

  • 53. Can LLM-Simulated Practice and Feedback Upskill Human Counselors? A Randomized Study with 90+ Novice Counselors

  • 54. CareerCraft: Supporting New Graduates on Job Hunting with LLM-Assisted Self-Construction of Career Profile

  • 55. CaseMaster: Designing and Evaluating a Probe for Oral Case Presentation Training with LLM Assistance

  • 56. Cerebra: Aligning Implicit Knowledge in Interactive SQL Authoring

  • 57. Characterizing Unintended Consequences of GUI Agents For Web Browsing

  • 58. Characterizing User-Reported Risks across LLM Chatbots

  • 59. Co-Disclosing the Computer: LLM-Mediated Computing through Reflective Conversation

  • 60. Co-Ideation Across Time: Revitalizing Legacy Design Sketchnotes with Conversational AI Agents to Foster Intergenerational Collaboration

  • 61. CoBRA: Programming Cognitive Bias in Social Agents Using Classic Social Science Experiments

  • 62. CoEmpaTeam: Enhancing Cognitive Empathy using LLM-based Avatars and Dynamic Role Play in Virtual Reality

  • 63. Codesigning Ripplet: an LLM-Assisted Assessment Authoring System Grounded in a Conceptual Model of Teachers’ Workflows

  • 64. Collaposer: Transforming Photo Collections into Visual Assets for Storytelling with Collages

  • 65. Comparing Design Metaphors and User-Driven Metaphors for Interaction Design

  • 66. Computer Science Achievement and Writing Skills Predict Vibe Coding Proficiency

  • 67. Cracking the Case Together: Role Perceptions in Human-AI Mystery Solving Dialogues

  • 68. Credibility Matters: Motivations, Characteristics, and Influence Mechanisms of Crypto Key Opinion Leaders

  • 69. Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight

  • 70. Data Repair

  • 71. Data-Prompt Co-Evolution: Growing Test Sets to Refine LLM Behavior

  • 72. DataSpeck: An AI-Driven Human-in-the-Loop System for Automating Transformations in Data Conversion Workflows

  • 73. Deaf and Hard of Hearing Access to Intelligent Personal Assistants: Comparison of Voice-Based Options with an LLM-Powered Touch Interface

  • 74. Debugging Defective Visualizations: Empirical Insights Informing a Human-AI Co‑Debugging System

  • 75. Deception at Scale: Deceptive Designs in 1K LLM-Generated E-Commerce Components

  • 76. Deconstructing Open-World Game Mission Design Formula: A Thematic Analysis Using an Action-Block Framework

  • 77. Design and Multi-level Evaluation of MAP-X: a Medically Aligned, Patient-Centered AI Explanation System

  • 78. Designing Around Stigma: Human-Centered LLMs for Menstrual Health

  • 79. Designing Multi-Robot Ground Video Sensemaking with Public Safety Professionals

  • 80. Designing Scaffolding Cards to Facilitate LLM-Based Socratic Instruction: An Exploratory Study of Response Strategies to Support Learning

  • 81. Designing Staged Evaluation Workflows for LLMs: Integrating Domain Experts, Lay Users, and Model-Generated Evaluation Criteria

  • 82. Desirable Unfamiliarity: Insights from Eye Movements on Engagement and Readability of Dictation Interfaces

  • 83. DiLLS: Interactive Diagnosis of LLM-based Multi-agent Systems via Layered Summary of Agent Behaviors

  • 84. DiagLink: A Dual-User Diagnostic Assistance System by Synergizing Experts with LLMs and Knowledge Graphs

  • 85. DiaryPlay: AI-Assisted Creation of Interactive Story Vignettes for Everyday Storytelling

  • 86. Digital Companionship: Overlapping Uses of AI Companions and AI Assistants

  • 87. Digitizing the Pre-consultation Experience: Impacts and Design Recommendations

  • 88. Does My Chatbot Have an Agenda? Understanding Human and AI Agency in Human-Human-like Chatbot Interaction

  • 89. Does Sycophancy Change Decisions? Effect of LLM Sycophancy on AI-Assisted Decision-Making

  • 90. DroidRetriever: A Transparent and Steerable Automation System for Collaborative Mobile Information Seeking

  • 91. DuetUI: A Bidirectional Context Loop for Human-Agent Co-Generation of Task-Oriented Interfaces

  • 92. DuoDrama: Supporting Screenplay Refinement Through LLM-Assisted Human Reflection

  • 93. Dust Off Kindle Highlights With Quologue: Surfacing Personal Data With Generative AI for Reflective Experiences

  • 94. EchoScriptor: Automatic Lifelogging Narratives via Activity-Based Audio–Language Model

  • 95. Empowered XR through Generative AI: Balancing Superpowers and Risks

  • 96. Emulating Aggregate Human Choice Behavior and Biases with GPT Conversational Agents

  • 97. Enabling Partial Participation in Remote Meetings

  • 98. Enhancing Children's Self-Reporting in Chatbot Diaries through Rhyming Style

  • 99. Epimopilot : An LLM-infused Epistemic Emotion Support System to Boost Self-regulated Asynchronous Online Video Learning

  • 100. Evalet: Evaluating Large Language Models through Functional Fragmentation

  • 101. EvaluAId: Human-AI Collaborative Evaluation of Open-Ended Student Essays

  • 102. Evaluation-First Design for Data Visualization Interfaces

  • 103. Exploring Creator-Centric Methods for LLM-Assisted Interactive Storytelling

  • 104. Exploring Learners' Expectations and Engagement When Collaborating with Constructively Controversial Peer Agents

  • 105. Exploring Teacher-Chatbot Interaction and Affect in Block-Based Programming

  • 106. Exploring the Design of a LLM-Based AI Assistant for Mindfulness Practice With Older Adults

  • 107. Exploring the Future of AI in Clinical Collaboration: A Study on Tumor Board Case Preparation

  • 108. FAIR: Framing AI’s Role in Programming Competitions — Understanding How LLMs Are Changing the Game in Competitive Programming

  • 109. Facilitating Proactive and Reactive Guidance for Decision Making on the Web: A Design Probe with WebSeek

  • 110. FeelWave: Enabling Emotion-Aware Voice Interaction through Noise-Robust mmWave Emotion Sensing

  • 111. Forage: Understanding LLM-facilitated sensemaking of conversation data

  • 112. Framing Responsible Design of AI for Mental Well-Being: AI as Primary Care, Nutritional Supplement, or Yoga Instructor?

  • 113. From Answer Givers to Design Mentors: Guiding LLMs with the Cognitive Apprenticeship Model

  • 114. From Code Generation to Conceptual Learning: Student Use of LLMs in a Web Programming Course

  • 115. From Expectation to Evaluation: Expectation Cues Systematically Bias LLM and Human Judgment

  • 116. From Performers to Creators: Understanding Retired Women's Perceptions of Technology-Enhanced Dance Performance

  • 117. From Struggle to Success: Context-Aware Guidance for Screen Reader Users in Computer Use

  • 118. GTA: Generative Traffic Agents for Simulating Realistic Mobility Behavior

  • 119. GazeCoT: Unleashing Social Intelligence in Multimodal LLMs With Gaze-Informed Chain-of-Thought Reasoning

  • 120. GeoVisA11y: An AI-based Geovisualization Question-Answering System for Screen-Reader Users

  • 121. Good Fences Make Good Learning: How Self-Directed Language Learners Navigate LLM Delegation Decisions

  • 122. Good for the Planet, Bad for Me? Intended and Unintended Consequences of AI Energy Consumption Disclosure

  • 123. Helping Johnny Make Sense of Privacy Policies with LLMs

  • 124. Homeroom: A Value-Aligned and Community-Centered Homeschooling Platform

  • 125. How Do We Research Human-Robot Interaction in the Age of Large Language Models? A Systematic Review

  • 126. How Multimodal Large Language Models Support Access to Visual Information: A Diary Study With Blind and Low Vision People

  • 127. Human-AI Interaction for Time-Critical Sensemaking in Missing Persons Investigations

  • 128. Hybrid LLM-Embedded Dialogue Agents for Learner Reflection: Designing Responsive and Theory-Driven Interactions

  • 129. Identifying, Explaining, and Correcting Ableist Language with AI

  • 130. Improving User Interface Generation Models from Designer Feedback

  • 131. Inferring Affect and Intervention Opportunities for Cancer Survivors from Digital Diaries with Context-Aware LLMs

  • 132. InnerPond: Fostering Inter-Self Dialogue with a Multi-Agent Approach for Introspection

  • 133. Instructional Mechanisms for Professional Writing: A Comparison of Scaffolded Annotation and ChatGPT

  • 134. Interaction Context Often Increases Sycophancy in LLMs

  • 135. Interview-Informed Generative Agents for Product Discovery: A Validation Study

  • 136. Investigating the Effects of LLM Use on Critical Thinking Under Time Constraints: Access Timing and Time Availability

  • 137. Invisible Saboteurs: Sycophantic LLMs Mislead Novices in Problem-Solving Tasks

  • 138. Just-In-Time Objectives: A General Approach for Specialized AI Interactions

  • 139. JustShape: Exploring Co-Speech Gestures for Multimodal LLM-Powered 3D Parametric Modeling

  • 140. KeySense: LLM-Powered Hands-Down, Ten-Finger Typing on Commodity Touchscreens

  • 141. LAPS: Automating Hypothesis-Driven Statistical Analysis of Public Survey Using Large Language Models

  • 142. LL.me: Supporting Identity Work through Human-AI Alignment

  • 143. LLM or Human? Perceptions of Trust and Quality in Research Summaries

  • 144. LLM-based Embodied Conversational Agent for Reducing Foreign Language Speaking Anxiety in Social VR

  • 145. LLM-box vs. Thinking-box: Designing for Deliberate User Engagement with Distorted Information in Conversational Search

  • 146. LLMs Homogenize Values in Constructive Arguments on Value-Laden Topics

  • 147. LLooM: Weaving Stories and Probing Experiences of Language Technologies

  • 148. Large Language Model (LLM)-driven Adversarial Social Influences in Online Information Spread: Risks and Interventions

  • 149. Large Language Models in Peer-Run Community Behavioral Health Services: Understanding Peer Specialists and Service Users’ Perspectives on Opportunities, Risks, and Mitigation Strategies

  • 150. Learning from AVA: Early Lessons from a Curated and Trustworthy Generative AI for Policy and Development Research

  • 151. Lexara: A User-Centered Toolkit for Evaluating Large Language Models for Conversational Visual Analytics

  • 152. LingoQ: Bridging the Gap between EFL Learning and Work through AI-Generated Work-Related Quizzes

  • 153. Linting Style and Substance in READMEs

  • 154. Live in the Loop: Rapid Run-time Feedback for Prompts

  • 155. Lost in Instructions: Study of Blind Users’ Experiences with DIY Manuals and AI-Rewritten Instructions for Assembly, Operation, and Troubleshooting of Tangible Products

  • 156. Machine Eye: Designing Relational Engagement with Embodied Large Language Models

  • 157. Making Multimodal LLMs Reliable Chart Data Extractors: A Benchmark and Training Framework

  • 158. Mapping the Wizards' Path: A Systematic Review of Wizard-of-Oz in HCI

  • 159. Mind in the Machine? Cross-Disciplinary Perceptions of Consciousness in Artificial Intelligence

  • 160. MindfulAgents: Personalizing Mindfulness Meditation via an Expert-Aligned Multi-Agent System

  • 161. Mining Player Experience Trends From Game Reviews Using Large Language Models

  • 162. More Than a Dictionary: How AI Scaffolds the Journey from Digital Outsider to Insider

  • 163. More than Decision Support: Exploring Patients' Longitudinal Usage of Large Language Models in Real-World Healthcare Settings

  • 164. My Favorite Streamer is an LLM: Discovering, Bonding, and Co-Creating in AI VTuber Fandom

  • 165. Negotiating Digital Identities with AI Companions: Motivations, Strategies, and Emotional Outcomes

  • 166. Not Everyone Wins with LLMs: Behavioral Patterns and Pedagogical Implications for AI Literacy in Programmatic Data Science

  • 167. Not Seeing the Whole Picture: Challenges and Opportunities in Using AI for Co-Making Physical, DIY-AT for People with Visual Impairments

  • 168. Open-ended Structured Question Assessment with Human-LLM Collaboration

  • 169. Orality: A Semantic Canvas for Externalizing and Clarifying Thoughts with Speech

  • 170. Orchid-Creator: An Authoring Tool Supporting LLM-Driven Interactive Narrative Creation

  • 171. PASTA: A Scalable Framework for Multi-Policy AI Compliance Evaluation

  • 172. PCGEF: A Framework for Diagnosing Subjective Alignment in Human-Centered Persona-Conditioned Generation

  • 173. PaperTrail: A Claim-Evidence Interface for Grounding Provenance in LLM-based Scholarly Q&A

  • 174. Partnering with Generative AI: Experimental Evaluation of Model-Led and Human-Led Interaction in Human-AI Co-Creation

  • 175. Peeking Ahead of the Field Study: Exploring VLM Personas as Support Tools for Embodied Studies in HCI

  • 176. Personal Validation Effect in LLMs: Positive AI Responses Bias Perceptions of Validity, Reliability, Personalization, and Usefulness of Fictitious Predictions

  • 177. Perspectra: Choosing Your Experts Enhances Critical Thinking in Multi-Agent Research Ideation

  • 178. PoemPalette: Facilitating Poetry Creative Exploration and Foundational Understanding through the Ideorealm Alignment of Paintings and Poems

  • 179. PolicyPad: Collaborative Prototyping of LLM Policies

  • 180. Presenting Large Language Models as Companions Affects What Mental Capacities People Attribute to Them

  • 181. PrivWeb: Unobtrusive and Content-aware Privacy Protection For Web Agents

  • 182. Privacy Control in Conversational LLM Platforms: A Walkthrough Study

  • 183. Privacy and Trust vs. Utility: Adoption of Commercial vs. Institutional AI assistants Among University Users

  • 184. Privacy in Human-AI Romantic Relationships: Concerns, Boundaries, and Agency

  • 185. PrivacyAkinator: Articulating Key Privacy Design Decisions by Answering LLM-Generated Multiple-choice Questions

  • 186. Privy: Envisioning and Mitigating Privacy Risks for Consumer-facing AI Product Concepts

  • 187. Proactive AI as a Catalyst for Creativity? Balancing Human Agency and AI Contribution in Collaborative Story Writing

  • 188. Promptimizer: User-Led Prompt Optimization for Personal Content Classification

  • 189. Prompting, Oversight, and Adoption: Physicians’ Use of Large Language Models for Diagnostic Reasoning in an LMIC

  • 190. Prototyping Multimodal GenAI Real-Time Agents with Counterfactual Replays and Hybrid Wizard-of-Oz

  • 191. Quantifying Latencies: A Conversation Analysis Approach to Human-Agent Interactions in Virtual Reality

  • 192. QuerySwitch: Supporting the Design Process by Balancing Vagueness through Large Language Models

  • 193. RAG Without the Lag: Enabling "What-If" Analysis for Retrieval-Augmented Generation Pipelines

  • 194. RECALLbot: Designing Agentic Memory and Reciprocal Disclosure for Human–Chatbot Relationships

  • 195. RPGAgent: Driving Coherent Story-to-Play Generation with an LLM-Based Multi-Agent System

  • 196. RageSense: Leveraging Acoustic Sensing and LLM-Based Intervention for Emotion Regulation in Mobile Gaming

  • 197. ReVisor: A Reflective Design Tool for Instructional Designers to Improve Teacher Training Materials via AI Discussions

  • 198. RealTwin: Concept Graph Representation and Grounding Framework for Reality-Preserving Digital Twin Reconstruction

  • 199. Red Teaming LLMs as Socio-Technical Practice: From Exploration and Data Creation to Evaluation

  • 200. Rehearsing the Self with AI: Teens Cross-Domain Use of Chatbots

  • 201. Relational Gains, Privacy Strains: Exploring Users’ Perceptions and Experiences with ChatGPT’s Memory Feature

  • 202. Reporting and Reviewing LLM-Integrated Systems in HCI: Challenges and Considerations

  • 203. Results-Actionability Gap: Understanding How Practitioners Evaluate LLM Products in the Wild

  • 204. Retelling the News: Exploring AI-Driven Conversational News Interactions

  • 205. Rob2HanD: LLM-Driven Robotic Arm for IMU Interaction Dataset Generation

  • 206. Robust Methods for Developer Screening in Rapidly Evolving AI Contexts

  • 207. Say It My Way: Exploring Control in Conversational Visual Question Answering with Blind Users

  • 208. ScamPilot: Simulating Conversations with LLMs to Protect Against Online Scams

  • 209. Scene2Hap: Generating Scene-Wide Haptics for VR from Scene Context with Multimodal LLMs

  • 210. SceneScout: Towards AI-Driven Access to Street Level Imagery for Blind Users

  • 211. Sci-Fi Spark: A Human-AI Co-Creation System for Science Fiction Ideation

  • 212. SeeSawBot: An LLM-Driven Chatbot Mediating Across Private and Shared Slack Channels to Support Team Dynamics

  • 213. Sensemaking in Multi-Agent LLM Interfaces: How Users Interpret Transparency and Trustworthiness Cues

  • 214. Sensing What Surveys Miss: Understanding and Personalizing Proactive LLM Support by User Modeling

  • 215. Small Talk, Big Impact? LLM-based Conversational Agents to Mitigate Passive Fatigue in Conditional Automated Driving

  • 216. Social Media Feed Elicitation

  • 217. SoleCoach: Sole Pressure and IMU-based MLLMs for Skill Coaching

  • 218. Sometimes You Need Facts, and Sometimes a Hug: Understanding Older Adults’ Preferences for Explanations in LLM-Based Conversational AI Systems

  • 219. Supporting Effective Goal Setting with LLM-Based Chatbots

  • 220. Surfacing Governing Principles for Chatbots: A Workbench and Comparative Study

  • 221. Surfacing and Applying Meaning: Supporting Hermeneutical Autonomy for LGBTQ+ People in Taiwan

  • 222. TALES: A Taxonomy and Analysis of Cultural Representations in LLM-generated Stories

  • 223. Tell Me What I Missed: Interacting with GPT during Recalling of One-Time Witnessed Events

  • 224. Texterial: A Text-as-Material Interaction Paradigm for LLM-Mediated Writing

  • 225. The AI Memory Gap: Users Misremember What They Created With AI or Without

  • 226. The Challenge to Design for Relatedness Experiences: An Explorative Investigation of Five Relatedness Technologies from a Psychological Needs Perspective

  • 227. The Impact of Response Latency and Task Type on Human-LLM Interaction and Perception

  • 228. The Privacy Paradox of LLMs: User Perceptions and the Reality of PII Leakage

  • 229. The Promise and Peril of On-Device AI for Conservation Work

  • 230. The Promises and Perils of using LLMs for Effective Public Services

  • 231. The Role of Personality of Conversational Virtual Avatars on Proxemic Behaviour during Indoor Navigation

  • 232. The Siren Song of LLMs: How Users Perceive and Respond to Dark Patterns in Large Language Models

  • 233. The Way We Notice, That’s What Really Matters: Instantiating UI Components with Distinguishing Variations

  • 234. Think Twice: Improving Privacy Awareness with Tailored LLM-Powered Interventions

  • 235. Through the Lens of Human-Human Collaboration: An Configurable Research Platform for Exploring Human-Agent Collaboration

  • 236. Tinker, Tailor, Trust: How Developers Create Privacy Policies With and Without AI

  • 237. Toward Equitable ASL Education: Egocentric Stereo Sensing with LLM Feedback for Error-Aware Learning

  • 238. Towards Aligning Multimodal LLMs with Human Experts: A Focus on Parent–Child Interaction

  • 239. Towards Better Health Conversations: The Benefits of Context-seeking

  • 240. Towards LLM-powered Assistive Drone for Blind and Low Vision Users

  • 241. Transformer Explainer: Learning LLM Transformers with Interactive Visual Explanation and Experimentation

  • 242. TurnStyle: A Framework for Analyzing Human Conversational Behaviors to Predict Success in LLM-Assisted Tasks

  • 243. UEQManager: A Non-intrusive and Real-time System for Recognizing and Managing UEQ in Multilingual Voice Assistants

  • 244. Understanding Compliance and Conversion Dynamics in Multi-Agent Collectives

  • 245. Understanding Parents’ Desires in Moderating Children’s Interactions with GenAI Chatbots through LLM-Generated Probes

  • 246. Understanding User Needs Underlying the Expected Roles of LLM-Based Chatbots in Privacy Decision-Making

  • 247. Understanding the Use of a Large Language Model-Powered Guide to Make Virtual Reality Accessible for Blind and Low Vision People

  • 248. Unveiling the Capabilities of Large Language Models in Simulating Student Behavioral Dynamics and Supporting Peer Feedback to Augment Task Performance

  • 249. ViSTAR: Virtual Skill Training with Augmented Reality with 3D Avatars and LLM coaching agent

  • 250. Vibe Check: Understanding the Effects of LLM-Based Conversational Agents' Personality and Alignment on User Perceptions in Goal-Oriented Tasks

  • 251. Vipera: Blending Visual and LLM-Driven Guidance for Systematic Auditing of Text-to-Image Generative AI

  • 252. Virtual Minds, Real Work: LLM-Powered Preference-Based Planning through Spatial Multi-Agent-Human Collaboration

  • 253. When AI Gets It Wrong: Scaffolding AI Hallucination Detection for Children Through Chatbot Creation

  • 254. When AI Gives Advice: Evaluating AI and Human Responses to Online Advice-Seeking for Well-Being

  • 255. When AI Rewrites the News: How Sentiment, Framing, and LLM Disclosure Shape Perceptions

  • 256. When Help Hurts: Verification Load and Fatigue with AI Coding Assistants

  • 257. When LLMs Enter Everyday Feminism on Chinese Social Media: Opportunities and Risks for Women’s Empowerment

  • 258. When Scaffolding Breaks: Investigating Student Interaction with LLM-Based Writing Support in Real-Time K-12 EFL Classrooms

  • 259. Who Controls the Conversation? User Perspectives On Generative AI (LLM) System Prompts

  • 260. Who Does What? Archetypes of Roles Assigned to LLMs During Human-AI Decision-Making

  • 261. WordCraft: Scaffolding the Keyword Method for L2 Vocabulary Learning with Multimodal LLMs

  • 262. ``It Hasn’t Lived in Our Society”: Investigating Cultural Sensitivity in LLM Chatbots for Emotional Support

  • 263. iRULER: Intelligible Rubric-Based User-Defined LLM Evaluation for Revision

  • 264. “Are Compliments Bad Now?”: Comparing LLMs and Human Interpretations of Gender Microaggressions in the Workplace

  • 265. “Do I Trust the AI?” Towards Trustworthy AI-Assisted Diagnosis: Understanding User Perception in LLM-Supported Clinical Reasoning

  • 266. “Don’t Look, But I Know You Do”: Norms and Observer Effects in Shared LLM Accounts

  • 267. “Helping Me Versus Doing It for Me”: Designing for Agency in LLM-Infused Writing Tools for Science Journalism

  • 268. “I Don’t Think RAI Applies to My Model” – Engaging Non-champions with Sticky Stories for Responsible AI Work

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