Applied & Human-Centered · Computer Science & AI
Human-Computer Interaction
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1,000 papers, from 31 August 2026 to 5 November 2026: 993 arXiv preprints and 7 OpenAlex records.
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Newest papers, page 47
A latent dimension of Condorcet's jury theorem for multiple AI advisers
When the same question is asked of multiple AI advisers, as in self-consistency and LLM-as-a-judge panels, Condorcet's jury theorem predicts that adding independent, competent advisers makes the…Investigating the Impacts of Generative AI on Information Seeking
This paper is an encore submission of our 2026 journal article "Expertise and Information Seeking in the Age of Generative AI: New Procedures, New Problematics" with an extended discussion for the…One Feedback System Does Not Fit All: Localising Data-to-Text Driver Coaching for the United Kingdom and Nigeria
Data-to-text driver coaching is often presented as a generic pipeline from telematics events to advice.Speak to the City: Multimodal Resolution for Outside-the-Vehicle References
As autonomous vehicles and Extended Reality (XR) headsets enable novel in-car interactions, seamlessly querying physical landmarks, known as Outside-the-Vehicle Referencing (OVR), remains…Vulnerabilities in Personalization: Assessing Health Privacy Risks in ChatGPT Logs and Memory
As conversational LLMs become deeply embedded in daily life, users frequently disclose sensitive personal health information during routine interactions.CALICO: A Human-Centered, Codebook-Aligned System for Annotation
Large language models are increasingly used to scale codebook-based annotation in scientific research, but existing workflows provide limited support for translating domain experts' codebooks into…Inheriting the Count: How Visualization Literacy Got Its Measure
Foundational frameworks in visualization have operationalized literacy as an individual competency, measured through chart-comprehension tasks.Trust by Design: Trust Calibration Through Non-Advisory Socratic Dialogue in Conversational Agents
As conversational AI systems increasingly operate in sensitive domains, the central challenge shifts from usability to trust calibration, ensuring that users rely on systems neither too much nor too…A Responsive Present, a Shared Past, a Social Other: Teens' Overreliance on Companion AI Chatbots
AI companions provide socially engaging interaction through availability, personalization, memory, roleplay, and emotionally responsive language."Looking for Something Weird to Happen": How Humans Sustain AI Agent Novelty Amid Semantic Collapse
Semantic collapse, the progressive narrowing of what AI systems generate, has been studied mainly in closed settings, and remedies have targeted models and data.Pseudo-Label Augmentation for Affect Sensing in Small Collaborative Groups
Physiological affect sensing in naturalistic group interaction is often limited by sparse labels rather than sensor data: wearable devices produce many time windows, while self-reports are collected…FaithfulBench: Does AI Counsel Uphold or Undermine the User's Professed Faith?
Do AI assistants help believers reason about moral dilemmas consistently with their faith?Oops, Not Now: PEARL, a RAG-Based Support Agent for Gameplay and What Players Want from AI Help
AI-powered gameplay support agents hold promise for game-based learning, yet grounding generative models in structured game data remains an open challenge.Rethinking the Implications of Human Feedback for Preference Learning in Human-Robot Collaboration
In Human-Robot Interaction, the standard approach to learn a reward model that represents human preferences for robot behavior consists of three steps.LatentVerse: A Framework for Understanding Shared and Modality-Specific Information in Multimodal Latent Representations
Latent embeddings have become a central data abstraction in modern machine learning, especially in biomedicine, where foundation models are increasingly used to encode multimodal data like clinical…Context-Aware Causal Gaze Forecasting for Human-Vehicle Interaction During In-Cabin Tracking Dropouts
Dashboard-mounted gaze trackers often lose sight of the driver's eyes during large head rotations, including shoulder checks, mirror glances, and intersection scanning.When Does AI Augment Work? A Workflow-Level Framework for Human-Agent Collaboration
We aim to characterise the value of artificial intelligence in the workplace.When2Talk: When Should a Proactive In-Car Agent Talk?
Proactive in-cabin agents can help passengers understand automated-vehicle (AV) behavior, but communicating every ride event may introduce unnecessary interruptions.The House with a Million Windows: Interactive Fiction for Narrative Restorying
AI-assisted writing can flatten meaning in human storytelling, enabling the production of homogeneous outputs without the intentional effort and sense-making writing entails.KAD-Net: Kinematics-Aware Decoupled Learning for Robust 3D Hand Pose Estimation from a Single Depth Image
Due to the complexity of hand kinematics and self-occlusion, existing 3D hand pose estimation methods based on single depth images struggle to comprehensively model the topological dependencies…