human-computer-interaction
This article discusses a study comparing users’ choices between performing tasks themselves and delegating them to an AI agent in an environment where large language models (LLMs) and graphical interfaces are used together.

What Happened A Show HN thread titled "What should the GUI for AI agents look like?" sparked debate among developers, designers, and ops engineers. The post displayed mock‑ups and asked for feedback on layout, interaction, and the trade‑off between low‑code flexibility and technical depth. Contributors favored node‑based canvases, timeline views, and form‑driven panels. They also warned about sca…
This article reports on a workshop on human-centered proactive and personalized agent research held at CHIIR 2026.
PurposeWith digital technology and AI increasingly embedded in work, human-computer interaction design has become pivotal in unlocking intelligent technologies’ creative potential for both research and practice. Most research focuses on AI’s association with employee creativity but rarely explores the psychological mechanisms linking human-computer interaction to employee creativity. This study e…
Adaptive cruise control (ACC) is becoming increasingly common; however, many users still struggle to understand system states and interventions, which may hinder trust and acceptance. Prior research has focused primarily on visual human–machine interfaces (HMIs), but driving is a visually demanding task. Therefore, voice-based HMIs are increasingly being considered as an alternative or complement…
Humanities and Social Sciences Communications, Published online: 04 August 2026; doi:10.1057/s41599-026-07985-4 Human-AI Co-Ideation in VR Experience Design: Using the Dimensionality Framework (8Df) to Structure LLM-Guided Design
From Tamagochis to AI companions, generations of machines have been designed to push on our “evolutionary buttons”—ones that ask us to respond to their needs. In this episode, audio reporter Laura Karpas speaks to researchers including the Center for Democracy and Technology's Michal Luria and Harvard Business School's Julian De Freitas to explore the dark patterns in AI companions, and what happ…

How does knowledge become actionable in complex infrastructure systems? My research explores how human cognition, AI-generated information, and governance mechanisms interact to create meaningful decisions in real-world environments.
MarbleOS A workspace with visible files, tools, tasks, and outputs — not buried in chat threads.
IntroductionAs artificial intelligence (AI) becomes increasingly embedded in organizational workflows, understanding how human–AI interactions shape employees’ knowledge territorial behavior has become a critical issue in digital transformation. Drawing on conservation of resources theory, this study examines the differential effects of enhanced and impeded human–AI interaction on employees’ know…
IntroductionAs generative artificial intelligence (GenAI) becomes deeply embedded in cognitive workflows, its inherent probabilistic generation mechanisms and the possibility of machine hallucinations may complicate the stability of semi-technical users’ trust. This study examined how semi-technical users’ interaction trust toward generative AI agents is associated with perceived explainability, …
IntroductionLarge language models have evolved from laboratory demonstrations into mass-market companion-style conversational agents that many users treat as social partners. As these systems produce increasingly human-like conversational behavior, users may attribute mind, form affective bonds, disclose sensitive information, and rely on agents for emotional support, creating both potential bene…
IntroductionArtificial intelligence (AI) anxiety has emerged as a significant phenomenon accompanying the digital transformation and increasing adoption of AI in workplace settings. This study aims to identify and synthesize the different dimensions of AI anxiety discussed in prior research.MethodsThis systematic literature review combines the Scientific Procedures and Rationales for Systematic L…
The digitization of emergency response work has intensified human–technology interaction and altered the cognitive and organizational demands placed on wildland firefighters. In this study, we validated the Internet Addiction Test (IAT) in a sample of 205 wildland firefighters to identify patterns of digital use that may compromise attention, sleep, and operational safety. Factor and internal con…
First Knock helps users see “where I am standing.” But the user’s next question is inevitably “where can I go from here.” Existing AI products respond to this question in two ways, each inadequate: proactive AI gives suggestions the user cannot execute; passive AI only reflects without guiding, leaving the user without any actionable reference. In scenarios where the user actively seeks help, non…
Nature Communications, Published online: 31 May 2026; doi:10.1038/s41467-026-73973-6 The advancement of human–machine interfaces relies on wearable tactile devices that combine flexibility with portability. Jin et al. present an electronic fingerprint device capable of simultaneously detecting normal force, slippage direction, and displacement, enabling enhanced human–robot interactions.
alignAI blog about AI and human-computer interaction. The post The Oracle Speaks in Declaratives: When Confident Answers Obscure the Need for Interpretation appeared first on Institute for Ethics in Artificial Intelligence .

In this article, I try to understand why coding agents can be infuriating to use. I think the problem is their conversational UX: they behave enough like helpful colleagues to trigger our social instincts, but they don't learn, adapt, or take responsibility the way people do, which makes their repeated mistakes feel much more frustrating than they should. Despite the usual allegations against Ita…

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