Applied & Human-Centered · Computer Science & AI
Human-Computer Interaction
The newest papers in Human-Computer Interaction that ReadSearch has read, newest first. Each links to its own page, with its authors, date, where it was published and the original.
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 32
Preference vs. Performance: EEG-Based Classification of Learner Engagement in Multimodal Instruction
Effective adaptive instructional systems require robust measures of learner engagement that go beyond static user profiles.Answer with Evidence: Consistency-Aware Grounded Visual Question Answering for Roadside Traffic Scenes
Roadside traffic reasoning requires every free-form textual claim to be backed by visual evidence.Rethinking Inline Citation Verification in Scholarly Communication
Inline citations are central to scholarly communication, yet verifying their use is becoming increasingly challenging because of growing review pressures.Optimizing AI-Driven Messaging for Type 2 Diabetes Management: Insights from Patient Preference Elicitation
Generative AI (GenAI) allows for improved user experience within conversational agents for diabetes management by supporting dynamic, context-aware conversations.Imagining a Muslim Internet: Trust, Autonomy, and Segregation in a Faith-Aligned Browser
Religiously branded platforms raise important questions about trust, usability, and autonomy when technology is built around a specific faith.Social Navigation for Tour-guide Robot
We propose a force-based model for social navigation of a tour-guide robot.Human-Like Attention? A Psychophysical Comparison of Visual Search in Humans and MLLMs
Visual search is a fundamental cognitive ability.Altruism as Infrastructure: Volunteer Moderation in a Bangladeshi Higher Education Facebook Group
Aspiring international students across Asian countries increasingly depend on commercial education agents to navigate scholarships, documentation, and visas.Reflecting on Creative-Boundaries with an AI Co-Doodler
In this pictorial, we consider how the negotiation of creative boundaries with a co-creative AI system can create moments for personal creative reflection.DelegationBench: Measuring When AI Agents Should Ask Before Acting
AI agents that send emails, edit files, and make purchases must decide when to act on their own and when to check with the user first.Exploring the Effects of Personality in Human-Agent Interactions: A Study on User-Agent Synchrony with Human-based Vocalics
User trust is paramount in human-agent interactions, as it allows users to feel comfortable being themselves around an agent.Educating future engineers about LLMs: A scalable workshop
As large language models (LLMs) are increasingly integrated into engineering workflows, students require hands-on experience to learn how to collaborate with them critically.DimSteer: Steering LLM Authoring with Automatically Discovered Stylistic Controls
Large language model writing interfaces often make users steer outputs by repeatedly articulating desired changes in natural language.Evaluating Just Noticeable Differences in Layered Opacity Visualizations
Opacity is a widely used channel in data visualization, but it remains less well understood compared to channels such as color, length, size, etc. Recent work from Meng et al. investigated the…Benchmarking Psychological Dynamics in Generative Agents
Large language models (LLMs) are increasingly deployed to simulate human behavior, acting as computational replicas of human subjects.XTurnix: Large-Scale Self-Supervised Turn Control through Two-State Binary Decisions
General turn-taking behavior in real-time dialogue systems requires deciding whether to keep listening or start responding while listening, and whether to continue or stop while speaking.MERCI Cards: An LLM Evaluation and Deployment Framework for High-Stakes Domains
As LLMs are increasingly deployed in high-stakes professional workflows, engineers and researchers require principled protocols to systematically track, monitor, and improve model performance across…Understanding Generative AI Use in Programming MOOCs: The Role of Course Context and Learner Characteristics
The increasing availability of generative artificial intelligence (GenAI) tools, such as ChatGPT and code-completion assistants, raises questions about how learners integrate these tools into…Neurodiversity-Aware Multimodal Affective Computing for Neurodevelopmental Assessment: From Norm-Referenced Classification to Context-Sensitive Decision Support
Automated neurodevelopmental assessment increasingly combines computer vision, speech, eye tracking, physiology, and machine learning, yet multimodality and discrimination do not establish construct…VoCa: Designing Speech-Canvas Interaction for Voice-Based Conversational Agents
People write and sketch while speaking to explain, organize, and develop content together.