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 18
Scaling Therapy Supervision: Assessing Psychotherapy Fidelity Using Large Language Models
Psychotherapy fidelity assessment measures how faithfully a therapist adheres to a treatment protocol, a critical determinant of positive patient outcomes.Artificial Intelligence and Job Design: A Dynamic Framework
This study aims to deepen the understanding of artificial intelligence's (AI) impact on work by introducing and describing the AI-Job Dynamics Framework.Scriptorium: System Design and Implementation of a Multi-Human, Multi-AI Collaborative Digital Library Search Platform
This technical report documents the design and implementation of Scriptorium, a digital library search interface designed to support multi-human, multi-AI collaboration: full cross-user transparency…When Better Opportunities Backfire: Service Worker Responses to Parallel AI Deployment in Customer Acquisition
As AI voice agents get deployed in high-volume contact centers, firms can route low-intent leads to AI and allocate high-intent leads to human workers.When Care Expands and Control Declines: Understanding Digital Privacy in End-of-Life Care
Terminally ill patients generate extensive digital health data through hospital portals, physiological monitoring devices, consumer health applications, and end-of-life care platforms.Cling: Supporting Cross-Page Coordination with Human-Directed, In-Situ, and Small-Step Automation
Web-based information work spans independently developed pages, with goals and coordination needs often emerging through browsing.Context-Aware Topological Distillation Graph Network for Asymmetric EEG-Eye Movement Emotion Recognition
EEG-eye movement emotion recognition can support mental-health monitoring and adaptive interfaces, but most fusion models treat the two signals as parallel features, classify each window alone and…Bringing physics-based controller policies to virtual reality
Nowadays, it is easy to set up any element of a VR experience so users can interact with it physically, except for interactive VR characters.SplatXR: A Toolkit for Multi-Layered Extended Reality via On-Headset 3D Gaussian Splatting
Recent advances in Gaussian splatting, 3D foundation models, and video-passthrough mixed reality offer unprecedented fidelity for capturing and blending physical and virtual worlds.Remote Expert Evaluation of Tabletop Avatar Gaze Control in Asymmetric Multi-Scale MR--VR Collaboration
This paper proposes an integrated setup for a multi-scale asymmetric collaboration scenario in the context of a remote-expert use case, focusing on the expert side.From Tasks to Turns: Measuring Human Labor Contributions in Human-Agent Joint Production
In agent workflows, a brief human instruction can alter subsequent search, reasoning, and tool execution, yet final task outcomes rarely reveal the contribution of an individual instruction to…Exploring Visual Access and Proactive AI Tutoring for Handwritten Mathematics
Handwritten work captures mathematical reasoning that learners may not express in typed or voice-dictated messages.Comparing Experiences of Speech-Driven Game Modification in Solo Play, Paired Play, and Paired Watching Using the Fighting Game PATCH FIGHTER
Players often have ideas about a game while playing it, but turning them into changes usually means stepping out of play to edit it.Promptile: Recovering and Reusing Prompting Strategies from LLM Interaction Histories
As people use large language models (LLMs) over time, they develop their own ways of prompting to achieve desired results.Beyond Behavioral Accuracy: Evaluating Individual-Level Fidelity in LLM Investor Simulation
Large language models (LLMs) are increasingly used as user simulators, but can they faithfully reproduce an individual's behavior and decision logic over time?Small Average Error, Wide Individual Error: General-Purpose LLMs Estimating Energy Intake from Meal Photos in a Feeding Trial
Photo-based estimation of food energy could ease dietary assessment, and general-purpose multimodal large language models (LLMs) make such estimates easy to obtain.TapID: Rapid touch interaction in virtual reality using wearable sensing
Current Virtual Reality systems typically use cameras to capture user input from controllers or free-hand mid-air interaction.Comparing Computer Use Behavior Across Multiple Levels of Abstraction
Interaction traces record how people and agents use computers, and comparing them can reveal usability barriers, differences in expertise, and human--agent similarity.AI Misconception and Adoption Among Indonesian K-12 Teachers
Indonesia's fragmented geography and uneven infrastructure pose persistent challenges for adopting new educational technologies.Who Takes the Lead? Model Ability and Task-Conditioned Collaboration with Humans
As language-model agents grow more capable, they can carry more of a task without asking anyone for help.