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 20
MultiPASE: Shape-Aware Comparative 3D Genome Analysis
3D genome structures reconstructed from Hi-C data provide valuable insights into chromatin organization, but comparing them across conditions and time points remains challenging because of noise…Immersive Focus+Context Techniques to Assist in Interpretation of High Density Forest Point Clouds
Virtual Reality (VR) is changing how we interact with complex spatial datasets.SwitchTube: A Proof-of-Concept System Introducing "Adaptable Commitment Interfaces" as a Tool for Digital Wellbeing
YouTube has many features, such as homepage recommendations, that encourage users to explore its vast library of videos.Designing Human-AI Collaborative Science: The 9A Framework
Artificial intelligence (AI) for Science is often described as a progression from human-directed assistance toward increasingly autonomous AI scientists.PersonaCUABench: Benchmarking Computer-Use Agents Serving Diverse Personas
Computer-use agents (CUAs) are commonly evaluated against fixed task specifications, but users may omit requirements, add constraints, or require approval before consequential actions.The Ethics of Prompt Engineering
Prompt engineering is commonly understood as a technical practice aimed at eliciting useful, accurate, and appropriately structured outputs from large language models (LLMs).From GAN-Based Models to GPT-5: A Taxonomy-Guided Study of Human Performance in Detecting Deepfake Face Images
Generative models for deepfakes have rapidly evolved from GAN-based architectures to diffusion models and multimodal large language models (MLLMs).Can AI interview? Comparing AI-led to Human-led Chat Interviews
Large language model chatbots have been proposed as AI-interviewers for collecting qualitative interview data at scale, potentially bridging social science's longstanding divide between the breadth…QuAD: Quantitative Assessment via Distribution-Alignment for Qualitative Data Quality Enabled by a Content-Aware Multi-Agent System
Assessing whether qualitative responses collected from semi-structured questions are ready for a particular analysis goal is a persistent challenge.When Ubiquitous Health Data Stops Helping: Patients' Experience of Breakdowns in the Data-Interpretation-Action Loop at the End of Life
Ubiquitous computing systems in healthcare often assume that greater data visibility improves awareness, interpretation, and action."Can Computing Systems Eventually Disappear?": A Long-Term Tracking Study on the Use of Diabetes Computing Systems by Patients with Diabetes
Ubiquitous computing has long pursued Weiser's vision of technologies that "disappear" into everyday life.Annotrace: A Workbench for Step-Level Annotation of Agent Traces
Every study of why LLM agents fail begins by labelling traces by hand, and every such study builds its own throwaway tool.Designing for Imperfect Prompts: A Simulation-Based Evaluation of an LLM-Based Enterprise Data Assistant Using Knowledge Graphs
Enterprise data assistants using large language models (LLMs) promise democratized data access in organizations.Wait for It: A Component-Level Analysis of Latency Feedback Mechanisms for LLM Agents in VR
Delays in AI responses pose a significant challenge to immersive Virtual Reality experiences.mmPencil: Toward Writing-Style-Independent In-Air Handwriting Recognition via mmWave Radar and Large Vision-Language Model
In-air handwriting recognition based on radio frequency (RF) signals offers a promising solution for human-computer interaction, yet existing methods are often limited by predefined writing planes…PresenceBench: An Exploratory Evaluation of Large Language Model Adaptation to User State
Presence-aware intelligence is the capacity of an AI system's intelligence layer to adapt appropriately to the functional state of the person it serves (here readiness, flow, and stability) while…"To Boldly Go Where No One Has Gone Before" What Has AI Let Developers Unlock?
Measuring AI by how much faster developers work is like judging electricity by how much faster it spun a steam-era factory.Sensory Comfort Across Multisensory XR Prototypes for Autistic Adults
Multisensory XR may support informal learning for autistic adults, but sensory-friendly design often emphasizes reducing input.Bad Diagnosis: Analyzing Consent and Data Collection Practices of Mobile Medical Apps
Mobile health (mHealth) apps collect personally-identifiable information while handling uniquely sensitive medical data, ranging from mental health records to real-time glucose or heart rate…TRACE: Governing AI-Assisted Research with Principles from Computer Science
Artificial intelligence (AI) makes it easier than ever to produce research outputs.