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human-computer interaction

1,682 papers

#robotics Preprint Sep 2026

A Procedure for Classifying Attachments and Affective Social Bonds in Human-Robot Dyads

This paper gives HRI practitioners a standardised basis for evaluating, classifying, and comparing human-robot relationships, and sets out the experimental rigour that each classification demands, and calls on researchers of human-robot relationships to adopt such rigour.

Imran Khan, Elisabeth Blagrove · 0 citations
#human-computer interacti... Preprint Sep 2026

How People Use ChatGPT in Australia: A WildChat Analysis

An Australia-focused analysis of WildChat, a public dataset of real-world ChatGPT interaction logs, shows that the Australian subset is strongly action-oriented and comparatively work-oriented, with most interactions classified as doing and a majority of conversations classified as work-related.

Yin-Hsuan Ma, K. Gero, Clément Canonne et al. · 0 citations
#human-computer interacti... Preprint Sep 2026

HelpCoach: Scaffolding Targeted AI Help-Seeking During Problem-Solving

HelpCoach is an add-on for chat interfaces that helps students formulate knowledge- and scaffold-specific questions and receive targeted help during problem solving and led to more specific questions during chatbot interactions and greater knowledge retention than pre-task help-seeking training alone.

Hyoungwook Jin, Wei-Rui Peng, Jieun Han et al. · 0 citations

Characterizing LLM-Based Family Education through the Lens of Activity Theory: A Scoping Review of the HCI Literature

A scoping review analyzes 53 HCI studies and offers a framework explaining how LLM capabilities become organized through family participation, using activity theory and AODM to relate participants and educational objects to mediation, labour, and rules.

Lan Luo, Yu-Qi Liang, Jie Cai et al. · 0 citations
#human-computer interacti... Preprint Sep 2026

"You Can't Just Automate It": Negotiating and Sustaining a"Good"Family Life Through Energy Practices

This study examines how Taiwanese parent-child families negotiate a"good"family life through everyday energy use and imagine future smart homes that support it. We conducted in-home interviews and co-design sessions with 21 families, including 46 parents and children. We found that families pursued a good life through...

Yang Hong, Ying-Yu Chen, Wei-Chien Chang et al. · 0 citations
#human-computer interacti... Preprint Sep 2026

Data Patching

It is found that traditional data auditing mechanisms cannot solely address data devaluation; hence, the Citizen-centered Cross-institutional Data Audit (CCDA) is proposed, which discusses design and policy implications of CCDA in HCI and datafied citizen services.

Atm Mizanur Rahman, Syed Ishtiaque Ahmed, Sharifa Sultana · 0 citations
#human-computer interacti... Preprint Open access Sep 2026

How Spatial Biologists Direct and Verify AI-Assisted Analyses

Spatial biologists use visualization to assess computational analyses of tissue data. We examine how they direct and verify analyses when an AI agent performs this work. We synthesized workflows from fourteen contextual inquiries and conducted a formative pilot followed by an observational study with ten spatial biolog...

Ella Hugie, Alexandra Irger, Chiara Schiller et al. · 0 citations
#human-computer interacti... Preprint Open access Sep 2026

Assembling, Breaking, and Refusing the Mask: Agency in AI-Mediated Self-Presentation in Livestreaming

Our mixed-method study examines how Chinese women livestreamers use masking to construct idealized mediated personas while navigating gendered, commercial, organizational, and platform pressures alongside personal agendas. We built on the concept of masking, analyzed 627 recruitment posts, and conducted livestream obse...

Yang Hong, Nusrat Jahan Mim, Sharifa Sultana · 0 citations

From tech blogs

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MIT News · Artificial Intelligence Oct 7, 2026

Discovering the value of humanistic inquiry

Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.

Microsoft Research Blog Oct 6, 2026

What AI gets wrong and what failure teaches us

Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity.  The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.

MIT News · Artificial Intelligence Sep 30, 2026

This game-playing AI is the new champ at Stratego

Able to defeat top-ranked human players and more efficient than other models, the new system could help decision-makers in military maneuvers or business negotiations.

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