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 13
Executable Archaeology of Programs That Model Programming: Reanimating the Heuristic Compiler (1961) and KBEmacs (1984)
Early AI programs were often also theories of how people think, and programs that wrote programs were, in part, theories of how people program.Your Wish Is My Commit: Over-Compliant Refactoring in AI Coding Agents
Large language models are known to be sycophantic, over-complying with users even when doing so is unproductive.When AI Can Build It, What Should We Assess? Rethinking Evidence of Engineering Competence
Generative AI can produce code, tests, documentation, and technical explanations that resemble artefacts traditionally used as evidence of student competence, weakening the inference from artefact…InteractiveWorld: A Verifiable Human-Centric Environment for Building Better Interactive MLLM Assistants
People have long dreamed of an assistant that is always there to guide them and remind what they forget, from new dishes to lost keys.A spinal-inspired spiking neural network for continuous finger-joint kinematics estimation from high-density surface EMG
Decoding simultaneous and proportional finger kinematics from high-density surface electromyography (HD sEMG) remains challenging.Detecting and Understanding Ambiguity in Visualizations with Role-Playing Vision Language Model Interpretations
Communicative visualizations can support multiple chart-grounded takeaways, including divergent or conflicting ones; we refer to this variation as interpretive ambiguity.Can LLMs Trust Appropriately? Evaluating Calibrated Reliance on Imperfect Partners
Large language models increasingly collaborate with humans and peer AI agents whose contributions may be incomplete, inconsistent, or incorrect.Developer Task Delegation to LLMs and the Trust Factor: A Mixed Methods Study
With the rise of Large Language Models (LLMs), software developers are presented with a powerful new approach: delegating software development tasks to LLMs.Perceived Acceptability of Sensory Augmentation
Sensory augmentation (SA) can extend how people perceive and engage with public environments through the body, offering opportunities to support shared multimodal experiences between deaf and…Toward Neuroadaptive Communication Interfaces: A Framework for Personalized Speech and Language Support
Speech and language technologies have expanded access to communication, but the support they provide is often fixed.A Personalized and Adaptive Intelligent Tutoring System for Psychomotor Learning
Intelligent tutoring systems (ITSs) have advanced learner motivation and personalization in cognitive domains, but extending these gains to psychomotor tasks remains challenging.EEGBiFormer: Real-Time EEG Attention Classification via Hybrid CNN-Transformer with EEG-Informed Auditory Protocol Validation
Sustained attention is critical for academic performance, yet existing auditory support tools are static and not grounded in real-time neural evidence.FlashScript: Compiling Recurring Agent Workflows into Reusable Neuro-Symbolic Programs
Many agent tasks recur with new data or small changes, yet agents regenerate their reasoning and actions on each run, producing different results.Human-Aware Agentic Driving: Rethinking Driver State, Trust, and Intervention
Agentic driving brings goal-directed reasoning, memory, tools, and adaptive interaction into automated vehicles.CRM-Agent-Bench: Benchmarking Tool-Using Agents in Stateful Enterprise Environments
Deploying language agents in real applications demands more than the right answer: an agent must execute a multi-step business process correctly, follow domain-specific rules, and interact with a…Gaze Under Strain: How Oculomotor Behavior Tracks Cybersickness Progression in VR
Cybersickness remains a major barrier to comfortable, accessible virtual reality (VR).Beyond Correctness: How Novice Software Engineering Students Exercise Oversight of Generative AI
Generative AI (GenAI) is shifting software engineering students' work from producing artefacts towards evaluating and supervising AI-generated outputs.Shorter Is Not Cheaper: A Controlled Comparison of Declarative Animation Specifications and Free-Form Code for LLM-Generated Explanations
Chat assistants increasingly answer conceptual questions with interactive, animated explanations, generated either as free-form HTML/JavaScript or as declarative specifications that a fixed runtime…Playing Bias: Epistemic Games for Interpreting Text-to-Image Models
Text-to-image (T2I) systems do not merely render prompts; they circulate defaults for "what X looks like," shaping recognition through pose, camera, costume, props, and setting.Forging Emotions: a deep learning experiment on emotions and art
Affective computing is an interdisciplinary field that studies computational methods that relate to or influence emotion.