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 36
Present After Presence: Subtraction, Givenness, and the Structure of Being-There
Presence research has often proceeded by addition, treating immersion, embodiment, agency, ownership, co-presence, reciprocity, and temporal simultaneity as conditions that stabilise the sense of…When Data Becomes Judgment: Misaligned Interpretations and Accountability in Food Delivery Platforms
Food delivery platforms mediate service encounters through real-time tracking data.NarrativeSteward: Coordinating Delegation, Guidance, and Verification in Agent-Assisted Interactive Narrative Authoring
Autonomous AI agents can turn authors' goals into interactive narratives by independently organizing and carrying out generation and revision.Aligning the Incomplete: Joint Distribution Calibration for Multimodal EEG-Eye Emotion Recognition
The success of cross-subject multimodal emotion recognition hinges on maintaining the consistency of the joint data distribution across individuals.IDEAL: A Multimodal Domain Adaptation Framework for EEG-Eye Emotion Recognition
Electroencephalography (EEG) emotion recognition serves as a pivotal interface for human-computer interaction, yet the physiological variability across individuals complicates the already…DuplexAct-Bench: Broadening Full-Duplex Speech Evaluation toward Proactive Interaction across Diverse Behavioral Requirements
Existing full-duplex speech benchmarks cover only subsets of real-time interaction behaviors, often under limited contextual conditions.Referential Uncertainty in Human--AI Collaboration
Effective human-AI collaboration requires partners to establish references through interaction, which becomes fragile when descriptions are ambiguous, similar referents compete, or partners see…Engagement-Led Segmentation of Gamified Participation Data in a Large-Scale Remote Internship: A Mixed-Methods Study
Gamified points are widely used to represent learner participation, but cumulative point totals provide limited information about how participation changes over time.Making Sense of Animal-to-Human Drug Development Evidence: Stakeholder Practices, Challenges, and Requirements for AI Tools
Animal models are widely used to study human biology and health interventions, yet translating findings from animal studies to humans remains challenging.When a Kindergartener Solves Calculus: Measuring Capability Leakage in Role-Prompted Reasoning Models
We investigate the problem of role-capability leakage (RCL), in which a role-prompted reasoning model generates convincing in-role text while continuing to exhibit capabilities on benchmarks that…Understanding Parents' Complex Views of AI for Children's Pretend Play
AI could support children's pretend play, but it could also direct the play on behalf of children.Diptych: Scoped, AI-Interpreted Comparison for Reference Listening in Music Production
Reference listening is a common strategy in music production, but current comparison tools often obscure a key human judgment: deciding what should be compared.Richard: Voice-First Mobile Interaction for Persistent Tasks
Mobile terminals need to provide application and network services while supporting users' control over their attention.Conversational Capture: A Trajectory-Level Framework for Evaluating Generative Engine Optimization in Multi-turn Human-Agent Interaction
Generative Engine Optimization (GEO) shapes content to increase its likelihood of being cited by answer engines built on retrieval-augmented large language models.JuryFlow: Disagreement-Guided Human-in-the-Loop Multi-Agent Evaluation
Large language models (LLMs) are increasingly deployed as automated judges for AI-generated content, yet a single judge is unreliable and even a panel of judges leaves a hard residue: when judges…Who Asked for This? Inline Annotations as Authoring Transactions for Provenance in Agentic Authoring
Writing with AI agents turns a paragraph into the outcome of many requests, yet the finished document rarely explains which request produced which change.Rethinking Legibility in Social Robot Hallway Navigation: Impact of Intent Representation and Human Distraction
We focus on legible robot motion generation in social navigation settings.Faithful Chart Generation for Multimodal Deep Research: Frame-Evidence Co-Adaptation
Analytical charts in multimodal deep research encode quantitative claims, requiring every visualized value to be faithfully grounded in supporting evidence.Preliminary Evaluation of Transition-Aware Controller Locomotion Adaptations for Supporting Postural Stability in VR
We present three locomotion adaptation approaches: Motion Acceleration, Turn Acceleration, and Motion Deceleration to improve postural stability during body-state transitions in virtual reality (VR).Sensing Instability, Adapting the Scene: A Real-Time Movement-Smoothing Design Framework for Stable VR Locomotion
Users experience different balance challenges while standing, walking, and turning in virtual reality (VR), yet most locomotion techniques apply the same visual behavior regardless of movement state.