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 8
AutoAnalysis: An automated, self-updating meta-analysis of human-AI collaboration
As generative artificial intelligence (AI) becomes more capable and widely used, understanding when and how humans should work with these systems is becoming increasingly important.GazeRIB: Systematic Evaluation of Multi-Reader Gaze-Guided Chest X-ray Learning
Radiologists' visual attention can supervise medical image learning, but how reader panel composition affects its value remains untested.How to Simplify a Line Chart: A Taxonomy and Feature-Based Evaluation
Simplifying large or noisy time-series is often a prerequisite for producing interpretable line charts, yet existing methods vary widely in how they alter visual features such as trends, extrema…When AI Agents Act on Our Behalf: A Taxonomy of Human-Agent Interaction Failure
AI agents write and execute code, manipulate user interfaces, and transact on their users' behalf.Unpacking the process of watching a 360-degree video: How physiological responses and head rotation relate to affective and cognitive outcomes
A defining feature of 360-degree video is that the perceptual experience is actively constructed.Self-Expansion Through AI: Latent Profile Analysis of AI Companionship and Wellbeing Outcomes
People increasingly form meaningful relationships with conversational AI.OmniMechanism Design for Human-AI Collaboration with Impressionable Minds
As AI systems are increasingly deployed in high-stakes domains such as healthcare, effectively integrating human expertise with AI outputs is critical for reliable decision-making.Usable String Matching by Humans through Overlaid Presentation
We explore the ability of humans to compare strings, an error-prone activity which occurs in critical contexts (e.g., bank wire transfers), where it is not always possible to trust a machine to help.Unlocking with the Heart: Investigating User Perceptions of ECG-Based Biometric Authentication
Password-based authentication remains challenging for many users, especially for those who face usability and accessibility issues.Wearable Biosensors for Early Detection and Continuous Monitoring of Postpartum Depression: A Human-Centered Approach
Postpartum depression (PPD) is the leading cause of maternal mortality in the United States.Does the Citation Matter? Quality, Grounding, and Physician-Rubric Accuracy of Google's AI Overviews for Medical Information
Google's AI Overviews (AIOs) are the first result users encounter when searching the web, shifting the work of selecting and evaluating sources from the user to Gemini.Lookover: Scaffolding Student Participation in Social Annotation
Social annotation platforms such as Perusall and Hypothesis are widely used to support student engagement with course readings, often through required commenting.GraspPressure: Understanding Pressure Input With Busy Hands
In many real-world scenarios, users interact with digital systems while their hands are partially occupied, such as when holding tools or everyday objects.InterA11y: Interactive Web Accessibility Error Detection with LLM Agents
Large Language Models (LLMs) have shown potential to expand the coverage of web accessibility evaluation.Beyond Preference Following: Benchmarking Profile-Query Arbitration in Personalized Text Transformation
Writing assistants use persistent preferences to personalize responses, but these can conflict with the current request.Generative artificial intelligence prompting strategies among Chinese university students across academic tasks
Generative artificial intelligence (GenAI) is increasingly embedded in university learning, yet effective human-GenAI interaction depends not only on access to these tools but also on students'…Evaluating Conversational Explainability in Healthcare: Comparing the Explainability Assistant and a Traditional XAI Dashboard
Conversational interfaces may make explainable AI (XAI) more accessible to users without machine learning expertise, but their benefits over dashboards remain insufficiently characterised in…Towards Audience-Driven Real-Time Data Storytelling
This paper introduces the concept of Audience-Driven Real-Time Data Storytelling (ADRDS), a framework that utilizes participatory and social sensing to enable audiences to actively shape the…From Artifacts to Coordination: Exploring How Shared Canvases Drive Collaboration during Group Ideation
Recent years have seen a surge in tools that support collaborative ideation through shared canvases.Assessing AI Companion Chatbot Safety for Vulnerable Users: A Crisis-Stage Multi-Platform Evaluation
AI companion chatbots are increasingly used by vulnerable individuals, including adolescents in suicidal crisis, for emotional support.