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 17
Data-Void Exploits in Web-Searching LLMs
Web-searching Large Language Models (LLMs) have changed how users seek online information: instead of sifting through ranked lists of links, users read synthesized answers.X-pressing Intimacy: Mental Health Disclosure After Twitter Acquisition
Social media platforms provide spaces for individuals to disclose mental health experiences and seek support, yet how these disclosures evolve during major shifts in platform governance remains…AVAtt: A Free-Viewing Eye-Tracking Dataset and Benchmark for Visual Attention on Paintings
Saliency and scanpath models are developed almost exclusively on natural photographs, yet paintings are composed by artists to guide the viewer's eye and differ from photographs in texture, colour…Relational Complexity: Making Sense of Social Companion AI Use
The adoption of social companion AI (SCAI) is often framed in terms of the positive features it offers users, including its nonjudgemental nature, agreeableness, and availability.Bias and Reliability in Learning-Style Inference from Student--AI Dialogues: An Evaluation of GPT-4o and Gemini 2.0 Flash
Large Language Models (LLMs) are increasingly integrated into educational technologies for personalized support, creating opportunities for real-time learner modeling from dialogue.Evaluating Social Reasoning in Embodied Vision-Language Models
Foundation models now serve as reasoning layers for robot teams, but it remains unclear whether embodiment-specialized vision-language models (VLMs) preserve the social-reasoning capabilities of…Act on Your Behalf, Beyond Your Authorization: Benchmarking LLM Agent Authorization Alignment
When an LLM agent acts on behalf of a user, it is expected to act within the authorization scope the user grants.When LLMs Manipulate: Measuring Behavioral, Social, and Temporal Effects
Large language models (LLMs) can influence user trust and decision-making through subtle linguistic cues, yet the behavioral effects of manipulative outputs remain poorly quantified.What should AI forget? A design and taxonomy for negative space governance in AI memory
AI memory personalizes assistants, yet users want some disclosed information forgotten.CAESAR: Mixed Reality Search-and-Rescue Platform for Cognitive Attack Evaluation
Mixed Reality (MR) enables immersive training by tightly coupling virtual content with the physical environment and supporting embodied interaction.PhonoBridge: Error-Aware Phoneme-Mediated EMG-to-Text Reconstruction
Electromyography (EMG) provides a non-invasive means of decoding silently articulated speech into text, but accurate decoding remains challenging due to limited availability of paired EMG-text data.Looks Fine to Me: Understanding Oversight in Agentic Interactions
Agentic AI systems are deployed to execute complex tasks across domains such as writing, coding, and data analysis.VISH-ASR: Viterbi-Guided Selection of Hotwords for Speech-LLM Contextual ASR
Prompt-based contextual ASR requires selecting a compact hotword subset from large dynamic inventories, yet existing pre-selection methods rely either on discrete ASR hypotheses that may discard…What Novice Operators See Changes What the Policy Learns: A User Study of Keypoint Hand Visual Representation for Teleoperated Demonstration
Imitation learning increasingly relies on novice operators, whose demonstrations fall short of experts' in number and inter-trial consistency.Digital Nudge Effects in Optimal Stopping Games: Antagonistic Interactions in Layered Choice Architectures
Digital nudges have become a prominent area of research in human-centered interaction, yet little is known about how they interact when deployed together.The GenAI Who Knew Too Little: Revisiting Transactive Memory Systems in Human GenAI Collaboration
Generative artificial intelligence (GenAI) is rapidly transforming knowledge work, creating new collaborative dynamics that challenge tradi-tional human-human interaction patterns.The Labor of Storytelling: How People with Chronic Illnesses Leverage AI and Communities for Narrative Translation
The distinctiveness of people with chronic illness as storytellers is how they experience their illness.Claims of emergence in AI should be grounded in information decomposition
When a language model develops capabilities not traceable to its individual components, when a multi-agent AI system outperforms each agent on its own, or when a human-AI pair succeeds where either…TracePrism: Extending Semantic Trace Topics to Iterative, Encoding-Aware Trace Partitioning
Process mining typically explains an event log with a single model, clustering, or classifier fitted to all cases, although real logs often mix cases that follow different sub-processes.Warping the Workspace: Expanding Visual Access with Adjustable Reach Mapping for Humanoid Teleoperation
First-person humanoid teleoperation ties access to side and rear targets to operator rotation.