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cs.HC updates on arXiv.org

Knowing When to Ask: Self-Gated Clarification for Hierarchical Language Agents Collaborative Human-Agent Protocol (CHAP) UXBench: Benchmarking User Experience in AI Assistants Impedance MPC for Physical Human-Robot Interaction: Predictive Disturbance Rejection with Joint-Limit Safety Formalizing all indexed mathematics as a benchmark for general reasoning, with the example of implementing dilatations of categories Face versus Body Tracking for Human-Robot Interaction: An Egocentric Dataset What LLMs Must Forget to Teach Effectively: A DIY Approach to Premodern Japanese Language Pedagogy Quantitative Movement Testing: Measuring Patient Movements from a Single Smartphone Video The New Social Image: How AI Competency and AI Proactivity Influence Self- and Peer-Perceptions in the Workplace Inform, Coach, Relate, Listen: Auditing LLM Caregiving Support Roles MetaRanker: Human-in-the-loop Active Ranking for Metalens Image Quality Visual Matters: Connecting Aesthetic Appeal and Production Quality of Photos, Infographics and Data Visualizations to Credibility of Social Media Posts Perceptually Lossless Tactile Texture Synthesis with Compact Spectral Envelope Models MambaGaze: Bidirectional Mamba with Explicit Missing Data Modeling for Cognitive Load Assessment from Eye-Gaze Tracking Data CogAdapt: Transferring Clinical ECG Foundation Models to Wearable Cognitive Load Assessment via Lead Adaptation Faster Completion, Less Learning: Generative AI Reduced Study Time on Math Problems and the Knowledge They Build Learning to Decide with AI Assistance under Human-Alignment Positive Alignment: Artificial Intelligence for Human Flourishing Sycophantic AI makes human interaction feel more effortful and less satisfying over time Exploring Interaction Paradigms for LLM Agents in Scientific Visualization The Alignment Target Problem: Divergent Moral Judgments of Humans, AI Systems, and Their Designers Participatory provenance as representational auditing for AI-mediated public consultation Aligning Human-AI-Interaction Trust for Mental Health Support: Survey and Position for Multi-Stakeholders Semantic Prompting: Agentic Incremental Narrative Refinement through Spatial Semantic Interaction Multimodal Ambivalence/Hesitancy Recognition in Videos for Personalized Digital Health Interventions The Augmentation Trap: AI Productivity and the Cost of Cognitive Offloading Can LLMs Reason About Attention? 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Task-Redirecting Agent Persuasion Benchmark for Web Agents EEG-based AI-BCI Wheelchair Advancement: Hybrid Deep Learning with Motor Imagery for Brain Computer Interface K2MUSE: A human lower-limb multimodal walking dataset spanning task and acquisition variability for rehabilitation robotics Privacy-Preserving Empathy Detection in Video Interactions GlyTwin: Digital Twin for Glucose Control in Type 1 Diabetes Through Optimal Behavioral Modifications Using Patient-Centric Counterfactuals AgentDynEx: Nudging the Mechanics and Dynamics of Multi-Agent Simulations Creating and Evaluating Personas Using Generative AI: A Scoping Review of 81 Articles Social Human Robot Embodied Conversation (SHREC) Dataset: Benchmarking Foundational Models' Social Reasoning Designing Synthetic Discussion Generation Systems: A Case Study for Online Facilitation FSPO: Few-Shot Optimization of Synthetic Preferences Personalizes to Real Users ExplainReduce: Generating global explanations from many local explanations AIvaluateXR: An Evaluation Framework for on-Device AI in XR with Benchmarking Results RECOVER: Designing a Large Language Model-based Remote Patient Monitoring System for Postoperative Gastrointestinal Cancer Care "Would You Want an AI Tutor?" Understanding Stakeholder Perceptions of LLM-based Systems in the Classroom Influencing Humans to Conform to Preference Models for RLHF User Simulation in the Era of Generative AI: User Modeling, Synthetic Data Generation, and System Evaluation LLAMADRS: Evaluating Open-Source LLMs on Real Clinical Interviews--To Reason or Not to Reason? LLM Agents Grounded in Self-Reports Enable General-Purpose Simulation of Individuals The Impact of Generative AI on Collaborative Open-Source Software Development: Evidence from GitHub Copilot Who Benefits from AI? 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Personalizing Image Search Results on Flickr Social Information Processing in Social News Aggregation Coupling Control and Human-Centered Automation in Mathematical Models of Complex Systems Social Browsing on Flickr Social Networks and Social Information Filtering on Digg Reuse of designs: Desperately seeking an interdisciplinary cognitive approach Communication of Social Agents and the Digital City - A Semiotic Perspective Understanding Design Fundamentals: How Synthesis and Analysis Drive Creativity, Resulting in Emergence Improving the CSIEC Project and Adapting It to the English Teaching and Learning in China Field geology with a wearable computer: 1st results of the Cyborg Astrobiologist System Multi-Modal Human-Machine Communication for Instructing Robot Grasping Tasks The Cyborg Astrobiologist: Scouting Red Beds for Uncommon Features with Geological Significance The Cyborg Astrobiologist: First Field Experience Semantic filtering by inference on domain knowledge in spoken dialogue systems Robust Dialogue Understanding in HERALD ScheduleNanny: Using GPS to Learn the User's Significant Locations, Travel Times and Schedule The role of robust semantic analysis in spoken language dialogue systems A Situation Calculus-based Approach To Model Ubiquitous Information Services Semi-metric Behavior in Document Networks and its Application to Recommendation Systems Fast Hands-free Writing by Gaze Direction Tree-gram Parsing: Lexical Dependencies and Structural Relations Centroid-based summarization of multiple documents: sentence extraction, utility-based evaluation, and user studies Representing Scholarly Claims in Internet Digital Libraries: A Knowledge Modelling Approach
V2P Collision Warnings for Distracted Pedestrians: A Comparative Study with Traditional Auditory Alerts
Novel Certad, Enrico Del Re, Joshua Varughese, Cristina Olaverri · 2025-04-09 · via cs.HC updates on arXiv.org

This study assesses a Vehicle-to-Pedestrian (V2P) collision warning system compared to conventional vehicle-issued auditory alerts in a real-world scenario simulating a vehicle on a fixed track, characterized by limited maneuverability and the need for timely pedestrian response. The results from analyzing speed variations show that V2P warnings are particularly effective for pedestrians distracted by phone use (gaming or listening to music), highlighting the limitations of auditory alerts in noisy environments. The findings suggest that V2P technology offers a promising approach to improving pedestrian safety in urban areas

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