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 40
Anatomy of a Spreadsheet Failure, Analysing the EuSpRIG Horror Story Corpus
Spreadsheet disasters have been documented for more than thirty years, but they have not gone away.MAESTRO: a Multimodal Auditory-attention Egocentric Speech-TRacking Open corpus
Humans rely on gaze, head movements, and visual cues to attend to speakers in noisy environments, yet auditory attention decoding (AAD) has been studied primarily using electroencephalography (EEG).Vibe Analysis: Exploring LLM Adoption by Data Visualization Practitioners
Large language models (LLMs) are enticing in their promise to support data visualization (Vis) through faster and simpler workflows for data prep, analysis, and visualization creation.A Benchmark for LLM's Understanding of Middle School and High School Science Topics
Large language models (LLMs) are increasingly integrated into educational settings, yet educators lack robust, standards-aligned tools to evaluate their effectiveness in K-12 science contexts.CG-Diff: Organizing Code Changes Around Call Graphs
Tools for code review present code changes file-by-file.A Procedure for Classifying Attachments and Affective Social Bonds in Human-Robot Dyads
Human-robot interaction (HRI) claims that people form attachments and social bonds with artificial agents, yet the terms are often applied without the behavioural and physiological criteria that…AI-Moderated Interviews for Market Research and Digital Twins Calibration
AI-moderated interviews are emerging as a scalable market-research method for generating consumer insights and building consumer "digital twins.DocuTeam: Mixed-Initiative Multi-Agent Discussions around Evolving Documents
In open-ended problem solving, collaborators often rely on discussion to surface concerns, challenge perspectives, and refine shared work as it evolves.When No One Owns the Judgment: Accountability Under Contribution Dissolution in Human-AI Collaboration
Communities often respond to potentially AI-assisted work by asking three questions: Was AI used?Controlling Backchannels in Streamable Full-duplex Models
Backchannels, brief acknowledgements like "uh-huh" produced while the other party may still be talking, are central to natural conversation, but full-duplex spoken dialogue models rarely model them…PUBG Ally: A Conversational Embodied Agent as an AI Teammate
We introduce PUBG Ally, an embodied agent for PUBG: BATTLEGROUNDS that can reason, act autonomously, and play alongside players as a voice-enabled teammate.Working with Agentic `Teammates': When a New Organizational Actor Collides with the Human Ecosystem of Work
Enterprise AI is transitioning from single-user, reactive tools toward proactive, multi-user 'teammates,' but our empirical understanding of this transition is limited.Improving Calibration of Black-Box Radiology AI Using Test-Time Augmentation
Radiology AI systems increasingly inform clinical decisions such as triage, follow-up imaging, and treatment planning.Guardrails or Roadblocks? Effects of Pedagogical Style and Context Awareness in AI Teaching Assistants for Programming
AI teaching assistants (AI TAs) backed by large language models (LLMs) and pedagogical guardrails are increasingly being integrated into programming courses, providing students with scalable access…A Benchmarking Framework for Context-aware XR Interfaces
Everyday Extended Reality (XR) systems aim to provide context-aware access to the right functionalities at the right time and place, with minimal manual reconfiguration as users switch context.Thinking Less to Simulate Better: Intuitive Prompting Improves LLM Agents Simulating Individual Social Media Reactions, Including Unfamiliar Content
Platform policies are increasingly tested on artificial users, making agent fidelity important.Epstein Files Engine: Agentic Search for Investigative Journalism
On Jan.Listening and Mirroring: The Effects of Verbal Attunement and Behavioral Mimicry on Social and Empathic Perceptions of Embodied AI Agents in VR
As embodied agents take on increasingly social and relational roles in VR, visual realism and embodiment alone may be insufficient; users must also perceive these agents as emotionally attuned…Can Vision-Language Models Analyze Human-Centered Video? Mapping Model Capabilities and Human-AI Collaborative Workflows
Video provides a rich record of human behavior, interaction, and situated contexts, offering important evidence for understanding people and conducting human-centered research.ASAP: Visual Analytics for Identifying and Analyzing Image Patterns in AI-generated Images
Generative image models can produce highly realistic images, raising concerns about potential misuse in creating deceptive content.