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 15
Big World, Little Me: Comparing a First-Person VR Walkthrough Video and Static Slides for Communicating Height-Related Accessibility Barriers
People with dwarfism and other forms of short stature may encounter barriers created by fixed-height environments and discriminatory social assumptions.Do We Need to "Be There" to Say Goodbye? Comparing Participatory Agency and Spatial Presence Across Digital Farewell Formats
Digitally mediated attachment is increasingly common, yet the mechanisms of symbolic closure in hybrid physical--digital relationships remain underexplored.Can Loan Processors and Underwriters Spot AI-Edited Statements? An Empirical Study
AI-assisted editing can produce loan documents that preserve familiar issuer layouts while changing the applicant's identity.Abstract Priorities, Concrete Rewards: How Stated Preferences Relate to What People Reward in AI Responses
AI assistants built on large language models (LLMs) are trained on human feedback and increasingly personalized to users' stated preferences.ABRA: Agent-Bound UI for Human-Agent Communication beyond Chat with Reusable Views
Agents can create rich representations, yet these representations are rarely used as a medium for expressing user intent.TutorCaseBench: A Case-Grounded Benchmark for Evaluating LLM Tutors in Supporting Students with Challenging Behaviors
LLMs are increasingly used as AI tutors, yet existing benchmarks overlook the challenging behaviors common among students with learning and behavioral difficulties.Working Through Representation: Malleable Workspaces for Human-Agent Knowledge Work
Generative AI supports knowledge work, yet conversational histories may not capture the evolving organization that guides subsequent action.Your Home Remembers: A Voice-Enabled Household Memory Assistant for Conversational Retrieval
Everyday household information is often exchanged in conversations but never written down, making details easy to forget or misremember.Metacognitive Scaffolds Create Productive Friction for AI-Assisted Knowledge Work
Generative AI imposes new metacognitive demands on knowledge workers as their work shifts from production to planning, evaluation, and orchestration.CARL: Chat Assisted Reinforcement Learning
Failure of applied Reinforcement Learning (RL) to solve a given problem predominantly stems from unaddressed specification gaps, where the intent of human experts in the problem's domain is…Adaptive Uncertainty Visualization With jk-Plots
An important task of uncertainty visualizations is to communicate how the number of available observations influences the precision of estimates, such as a Normal distribution's mean.Navigating human-robot interaction challenges in private and residential aged care homes
This chapter explores how robotic systems and ambient intelligence can enhance care for older adults in residential aged care (RAC) homes and private homes.PointerBench: A Diagnostic Benchmark for Fine-Grained GUI Grounding
Multimodal Large Language Models have shown promising performance in computer-use tasks, from planning user workflows to grounding natural-language actions to precise UI targets.CoWriter: Guiding Methodological and Synergetic Human-LLM Co-Authoring
While LLMs have transformed text generation, standard chat-and-canvas interfaces often reduce human authoring to quite passive supervision, causing review fatigue, over-reliance on AI, and the…Making Generative AI Workable at Work: Accountability, Localization, and Representation in Kenyan and Nigerian Small Businesses
Generative AI is widely framed as democratizing skilled work by lowering the barrier to producing professional output.In-Browser Human-AI Co-Writing for Counterspeech: An Exploratory User Study of Agency, Perceived Response Quality, and Time
Writing counterspeech that challenges online hate speech can be cognitively and emotionally demanding, whereas fully automated generation may weaken users' sense of voice and responsibility.How Different, or Different How? Stance Granularity in Viewpoint Selection for Dialog Systems that Engage Users with Alternative Views
Systems that aim to help a user engage with viewpoints other than their own have to decide how different those viewpoints should be.Supporting or Replacing Students' Reasoning? Cognitive Offloading in AI-Assisted Proof Learning
We studied 153 students in an undergraduate proof-based mathematics course with staggered-access to an AI support system.Contestable Agents for Data Governance: Recording Human Stewardship of AI-Generated Metadata Across Structured and Unstructured Systems
Industrial organizations hold operational knowledge in structured records, such as telemetry, point lists, and transactions, and in unstructured sources, such as manuals, service notes…Who Is Sycophantic to Whom? Confident LLMs, Human Deference, and the Collapse of Trust Calibration
Research on sycophancy asks whether large language models (LLMs) bend towards what their users want to hear.