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 31
If My Toy Could Talk: How Young Children Imagine, Design, and Test AI-Enabled Toys
To investigate the design space where children might design AI chatbots for their own toys, we developed ToyTalk, a technology probe that positions children as designers of LLM-enabled toys.TrustmeWatcher: An Application for Workplace Micro-Sensing and Explainable Well-Being Feedback
Workplace sensing studies combine long-running behaviour traces with self-reports, yet the tools that collect those data often sit apart from the interface that returns results.Mind Perception Influences Perceived AI Companionability
Humans increasingly keep company with AI companions, yet whether mind perception (MP) precedes machine companionship remains untested.Tellimation: Making Narrative Gaps Visible in Children's Storytelling with Just-in-Time Animation
Illustrated scenes are used to prompt children's stories, yet children with language difficulties often omit the details, actions, and relationships that make a story coherent.Towards semantic reconstruction of individual words from fnirs using clip loss
Semantic reconstruction maps neural activity to a word-embedding space, recovering the meaning of a perceived word instead of selecting it from a fixed vocabulary.SPEAR: Five Principles for Interactive Human-Agent Alignment
Recent AI alignment work often frames alignment as a pre-deployment optimization problem: collect human feedback, learn preferences or principles, finetune the model, and deploy an aligned system.Responsible Institutional Analytics: Interpreting Bias with AI Support
Institutional Analytics (IA) dashboards inform decision-making in higher education, yet data limitations, constraints in analytical techniques, and missing contextual information often affect their…RoboCap: A New Platform for Egocentric Robot Learning
Despite its promise for scaling robot learning, egocentric manipulation data is still scarce today.Mapping E-textiles Design Pain Points and Generative AI Opportunities: Insights from Workshops in Shanghai and Winchester
E-textile design involves complex decisions across materials, sensor and actuator structures, fabrication, garment integration, and data processing.Quantum-Like Spatial Decision Dynamics: A Falsifiable Model of Cue-Order Effects in Immersive Navigation with Implications for Human-Quantum Computer Interaction
The sequence in which a person encounters spatial evidence can change a later choice, yet an order effect alone does not identify a quantum-like cognitive structure.Redistributing Harm: Document Transition and the Limits of Trans Inclusion in India's Identity Systems
Identity documents (IDs) are some of the most consequential sites through which transgender people encounter state infrastructures.Knit-Structure Effects on Electromechanical Metrics and Their Correlation with Joint-Angle Estimation Error in Knitted Strain Sensors
Knitted resistive strain sensors show strong promise for joint motion sensing in sports and rehabilitation, but the linkage between sensor design and in situ performance remains unclear.Artifact removal improves electrodermal waveforms but not downstream classification in a virtual-reality balance task
Artifact removal routinely precedes the classification of electrodermal activity (EDA), on the assumption that a cleaner signal supports a better decision.MRPilot: Supervising and Intervening LLM-Based Multi-Robot Teams through Mixed Reality
Large language models (LLMs) let users direct heterogeneous multi-robot systems (MRS) through natural language, but make task interpretation, robot assignment, and coordination difficult to inspect…From Written Response to Dialogue with AI: How Activity Format, Interaction Modality, and Language Impact Student Learning and Engagement
The widespread availability of LLMs is challenging written learning activities, as students can increasingly generate responses without necessarily engaging with the learning content.Jarvis: A Proactive Speech Agent for Multi-Party Conversations
Speech agents are reactive and dyadic: they speak when spoken to, and to one person at a time.The Relationship Between Blood Pressure and Self-Reported Stress During Sound-Based VR Relaxation Videos
Virtual reality (VR) relaxation environments are increasingly proposed as accessible tools for stress management, yet the physiological correlates of self-reported stress during VR exposure remain…PAIR: Perceptual Affective Inference and Regulation in a Real-Time Multimodal Conversational Agent
Sustained emotional support requires generative agents to connect momentary emotion inference and regulation with continuity across encounters.Bounded Reasoning: Cognitive Hierarchy in Human-versus-AI Cyber Defense
Human-agent evaluations often compress interaction into a single performance score, even when human and automated policies adapt differently over time.Proactive AI: From Turns to Replannable Dialogue Timelines
Conventional large-language-model chat interfaces typically follow user-initiated turns: each request elicits a response, after which the system waits for further input.