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 33
Trends in EHR Satisfaction and Interoperability Among Family Physicians: A Five-Year Analysis of the ABFM Continuous Certification Questionnaire, 2022-2026
To assess trends in family physicians' (FPs) electronic health record (EHR) satisfaction and their experience of interoperability across organizations.EVFormer: An Egocentric Vision-EMG Bidirectional Attention Model for Bimanual Hand Pose Estimation
Egocentric bimanual hand pose estimation is important for virtual interaction, wearable control, and rehabilitation, but visual observations are often degraded by self-occlusion, hand-hand contact…Asterism: Exploring and Synthesizing Scattered Observations into Literature-Grounded Hypotheses and Theories
A theory draws many independent observations into one framework with novel hypotheses.DataWeave: Deploying Human-LLM Analytics for Exploratory Structured Data Analysis
Data journalism, the practice of using data analysis to surface newsworthy stories, depends increasingly on the ability of reporters and investigative journalists to uncover trends, disparities, and…Lessons from Trauma-Informed Training on Technology-Facilitated Abuse for Gender-Based Violence Advocates
Technology-facilitated abuse (TFA) is an emerging gendered public health crisis affecting millions of people across the globe.LearnAdapt Praxis: Controlled AI Assistance and Evidence Traces for Adult Workplace Learning
AI can help adults produce plausible workplace artefacts while leaving their independent reasoning difficult to inspect.Characterizing the Performance Gap in Human Activity Recognition for Older Adults
Human activity recognition (HAR) from wrist-worn accelerometers is increasingly used for health and behavioral tracking.Co-Designing AI For Mental Health Support With Young Adults of Color (YOC): Needs, Expectations, and Implications for AI Literacy
Young adults of color (YOC) face heightened mental health challenges and barriers to care while navigating developmental and life transitions.Tracking Human Daily Cognitive Activity from EEG and Biometric Data
Understanding human cognitive activity in everyday life remains challenging due to the dynamic, context-dependent, and multimodal nature of cognition.Personalized Automatic Speech Recognition for a Dysarthric and Tracheostomic Speaker using Artificial Conversations
This work presents an automatic speech recognition (ASR) system personalized for a Czech speaker with a permanent tracheal stoma and severe dysarthria rendering their speech unintelligible to…A Benchmark for Spatially Grounded Gesture Generation
Communication in shared space interweaves verbal and non-verbal signals, and pointing gestures anchor language to the environment: "put the cup on that one" is uninterpretable without the gesture…TSGuard: A Real-Time Framework for Detecting and Imputing Missing Data in Streaming Time Series
Streaming sensor applications routinely suffer from delayed or missing observations caused by faults, communication losses, or environmental interference.The Effects of Air-Conditioning and Road-Traffic Noise on Perceived, Cognitive, and EEG Responses in a University Classroom
Air-conditioning and road-traffic noise are common in classrooms, and their effects are often judged by cognitive performance.Seeing through the Eyes of AI: Situated Explainability in Augmented Reality
Explainable Artificial Intelligence (AI) enables humans to understand and interpret decisions of AI models.Harmonic Eigenspace: A Web-based Application for Navigating and Composing Microtonal Harmony
This paper presents a web-based application for navigating and composing microtonal harmony, built on the Harmonic Eigenspace, a four-dimensional psychoacoustically grounded space in which tetrad…Interactive Machine Learning Interfaces for Disease Risk Prediction: Effects on Risk Perception and Behaviour
Machine learning risk models are increasingly being used in patient-facing health tools, but it remains unclear how well users understand the information these systems present.Govern, Map, Measure, Absorb: The Legibility Trap in Public Sector Participatory AI Governance
Public sector agencies have adopted participatory design as a prominent procedural safeguard proposed against algorithmic harm.viaCross: A Pen-Based Technique for Selecting Objects and Attributes of Interest using Crossing-Based Gestures
Crossing-based selection is well-studied, yet past research has overlooked multi-object and attribute selection with crossing gestures.Assessing Acceptance and Privacy Preferences of Third-party Financial Data Sharing in Bipolar Disorder
Bipolar disorder is strongly associated with financial instability.A study on human-agent teaming through spoken interaction: the impact of human individual traits and agent characteristics
Human-agent teams are collaborative systems where humans and agents work interdependently to achieve shared goals.