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.
Get the few papers worth your time in Human-Computer Interaction every morning.
Follow Human-Computer Interaction and ReadSearch reads its new papers each day, then brings you the few worth reading, each with its key finding in a sentence.
Newest papers, page 25
Calibrating LLM Explanations to Human Decisions with Reinforcement Learning
Explanations of LLM outputs are considered an important way to make model behavior legible, helping human users make good decisions on downstream tasks.Human Situational Awareness and Workload during Heterogeneous Autonomous Vehicle Hazard Monitoring: A Cross-Platform Study
As autonomous ground and aerial vehicles become increasingly capable, human operators are transitioning from direct control to supervisory monitoring roles.Brain2Face: A Study on the Relation of EEG Signals and Spatio-temporal Head Avatars
Driving digital head avatars is classically done by hand-crafted artist design or by image-based facial performance capture.Get In, Decide, Prove: A Merchant-Side Readiness Benchmark for Agentic Commerce
AI agents now browse and buy on people's behalf, and benchmarks measure how well the agents perform.Agency as a New Organizing Abstraction for Computer Science
Advances in large-scale machine learning have enabled agentic AI systems: persistent, autonomous computational entities that pursue goals, initiate actions, and interact with open environments.ArguScale: Evidence-Grounded Human-AI Sensemaking Across Concurrent Live Conversations
Monitoring concurrent classroom collaborative reasoning discussions is challenging because instructors have to track collaboration-relevant behaviors across multiple ongoing conversations at once.AuthScribe: Supporting Agency and Authorship in LLM-Assisted Reflective Journaling
Large language models are increasingly used in reflective journaling, where articulating an experience is part of interpreting it.Side-Vent Design for Microphone-Based Mechanomyography Sensors: Modeling and Experimental Evaluation of Contact Dependence
Wearable muscle sensing for rehabilitation, assistive robotics, and electrical-stimulation feedback needs mechanomyography sensors less sensitive to fit changes during wear.A Co-Located MMG-FES Wearable Interface for Action-Updated State-Gated Stimulation
Functional electrical stimulation (FES) assists movement, but fixed schedules cannot track how a repeatedly activated muscle changes, and surface electromyography (EMG) near the stimulation…FreeBrush: Motor Signals-Based Toothbrushing Monitoring System for Electric Toothbrushes
Oral health is vital for overall well-being, yet many users brush different tooth surfaces for insufficient or excessive durations.Vision: "What Don't I Know About User's Preferences?" How Uncertainty Estimation Improves Proactive Assistant Alignment
Proactive Smart Assistants (PSAs) increasingly use general knowledge, learned patterns from group-level data, patterns from individual user's data, and recent sensor observations to anticipate which…A Mechanomyography-Based Integrated Sensing-Stimulation System for Fatigue-Aware Neuromuscular Therapy
Muscle fatigue limits the effectiveness of functional electrical stimulation (FES), yet fatigue monitoring during active stimulation remains challenging because electromyography (EMG) is severely…Impact of Expertise and Trust on AI-assisted Work
Artificial intelligence (AI) agents promise to extend what users can accomplish beyond their existing expertise, but they also raise the risk of producing plausible-looking work that users may…sGLP: Simulating People with Stochastic Agents
Grassroots platforms are designed to be owned, operated and governed by their participants, and thus are constituted from person-to-person smartphone apps that are run by the participants.Rethinking Opinion Measurement Interfaces for Human-in-the-Loop Optimization
Human-in-the-loop optimization refers to systems that present choices to a human decision-maker and query their judgment to optimize system parameters iteratively.How Should a Camera-First AI Agent Work?
Camera-first agents must act on the visual world as it unfolds.Design and Evaluation of a Collaborative Teleoperation Interface for Multi-Operator Multi-Robot Systems in Challenging Environments
Multi-robot systems that combine the complementary capabilities of specialised platforms are critical for complex missions in challenging, inaccessible environments.EnRoute: Iterative Design and Evaluation of a Mobile App for Lower-Carbon Fashion and Transportation Choices
EnRoute is an iOS application designed to support more sustainable everyday choices in transportation and fast fashion consumption.MotionAnimator: Semantic-to-Motion Reasoning for Animating Part-Structured 3D Assets in XR
3D digital assets are increasingly used in education, simulation, design, and immersive content creation, yet most remain behaviorally inert: they provide geometry and component structure but lack…Trust Hinders Bidirectional Human-AI Alignment
Trust calibration remains the dominant framing of AI-assisted decision making: the goal is to close the gap between perceived and actual trustworthiness of AI systems so that users exhibit…