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 3
Autonomous AI Agents Systematically Diverge From Human Preferences in Proof Formalization
Artificial intelligence (AI) systems have ushered in a new age of proof abundance, but helping humans understand these proofs requires new attention to the differences in how AI agents and humans…Automated Feedback to Peer Tutors Increases Their Talk Moves and Learner Reasoning but Not the Balance of Talk
Automated feedback on classroom discourse improves instruction in professional and online teaching contexts, and recent work suggests that delivering similar feedback to learners may strengthen…Palimpsestic Accountability in the US Federal AI Inventories
An AI inventory is a structured, often public record in which a government or organization lists and describes the AI systems it uses or plans to use.Agentic Path Maps: Exposing an Agent's Traversal Through the Garden of Forking Paths
When an AI agent executes an underspecified task, it embeds choices that may contradict unarticulated user context and preferences.OmniScribble: Mixed-Initiative Authoring of Animated Sketches through Inspectable and Repairable AI Decisions
AI-assisted creative tools reduce the effort of authoring content, but delegating creative decisions to AI can make it difficult for authors to understand, correct, or redirect work.SEAM: Situated Executable Associative Memory for a Co-located Community
In groups, knowledge is distributed among individuals, and how it is brought together depends on social ties.From Watching to Steering: Enabling Human-Coding Agent Collaboration through Execution Traces
Recent advances in large language models (LLMs) have enabled coding agents to autonomously perform complex software development tasks, yet their long-running execution remains difficult for users to…Setting the Stage: Enhancing Music Recommendations with Spoken Introductions to Stimulate Serendipity
People like to keep their music listening fresh and interesting, but recommender systems often struggle to support this need.Making Smell Actionable in Design: Lexicon, Movement Patterns, and Gesture Cards
Smell is powerful in design, yet it often remains vague and difficult to work with in studios and classrooms.Just Between Us? Exploring a Wearable-Mediated Channel for Discreet Human-Agent Interaction in a Shared Game Setting
In shared settings, social robots may need to exchange information with an individual while limiting co-present others' access to or interpretation of that information.Who Is Doing the Thinking? Characterising Human Agency in First-Year Students' AI Interactions
When students use generative AI to produce their work, the learning process becomes invisible.AI for eGovernance: Leveraging Language Technologies For Digital Inclusion
The Kenyan government has invested heavily in the digitisation of public service delivery, in line with the Kenya Digital Master Plan 2022-2032.Who is the Pronoun Pro? Comparing LLMs and Humans at Number-Disambiguation of 'they'
This study evaluates whether large language models (LLMs) can reliably replace or complement human research assistants in linguistically complex annotation.For You, Not for Everyone: Bystander-Aware Delivery of Critical Feedback in Robot Tutoring
Robots in shared settings may expose information intended for an individual user to nearby bystanders.Haptic Shared Control for Multi-Robot Systems
Multi-agent systems offer significant advantages in terms of flexibility and redundancy, enabling the efficient distribution of complex tasks among multiple robots.From Opinions to Commitments: Unstable Assignments and Silent Choices in AI-Mediated Proposals
Large language models (LLMs) are increasingly being used to turn citizens' opinions into collective proposals.Better Plans, Better Outcomes: Integrating Historical Data into Student Planning in a Computing Course
Effective planning is critical for academic success, but in many computing courses students often lack accurate benchmarks for assessing the difficulty and time required for academic tasks.Extending the MM-AR Metamodeling Platform with Process Mining Capabilities
Process mining derives process models from event data recorded by information systems, but its results are usually presented as two-dimensional visualizations that are separate from the environments…False Reassurance in LLM Severe-Weather Guidance: A Replayable Evaluation Against Real NWS Alerts
An LLM assistant that cannot see official severe-weather alerts may tell users that conditions are calm while a warning is active.Whose Guardrail? User Identity Shapes the Effectiveness of Model Disclaimers in Mitigating LLM Political Persuasion
Politically biased AI can shift users' opinions, yet it remains unclear whether model disclaimers protect against such persuasion.