Artificial Intelligence in HCI 6th International Conference, AI-HCI 2025, Held as Part of the 27th HCI International Conference, HCII 2025, Gothenburg, Sweden, June 22–27, 2025, Proceedings, Part I

The four-volume set LNAI 15819–15822 constitutes the thoroughly refereed proceedings of the 6th International Conference on Artificial Intelligence in HCI, AI-HCI 2025, held as part of the 27th International Conference, HCI International 2025, which took place in Gothenburg, Sweden, June 22-17, 2025.

The total of 1430 papers and 355 posters included in the HCII 2025 proceedings was carefully reviewed and selected from 7972 submissions.

The papers have been organized in topical sections as follows:

Part I: Trust and Explainability in Human-AI Interaction; User Perceptions, Acceptance, and Engagement with AI; UX and Socio-Technical Considerations in AI

Part II: Bias Mitigation and Ethics in AI Systems; Human-AI Collaboration and Teaming; Chatbots and AI-Driven Conversational Agents; AI in Language Processing and Communication.

Part III: Generative AI in HCI; Human-LLM Interactions and UX Considerations; Everyday AI: Enhancing Culture, Well-Being, and Urban Living.

Part IV: AI-Driven Creativity: Applications and Challenges; AI in Industry, Automation, and Robotics; Human-Centered AI and Machine Learning Technologies.

.- Trust and Explainability in Human-AI Interaction.

.- Assessing Conversational Capabilities of Explanatory AI Interfaces.

.- Advancing XAI Development: An Agile Framework for Human-Centered and Explainable AI.

.- How to Explain it to a Data Scientist? A Mixed-Methods User Study About Explainable AI, Using Mental Models for Explanations.

.- What Makes People Use Social Robots? Integrating Trustworthiness Into the UTAUT Model.

.- Means to an End: Assessing the Validity of Trust in Automation Scales in Artificial Intelligence Vignettes.

.- Trust Calibration for Joint Human / AI Decision-making in Dynamic and Uncertain Contexts.

.- Examining Trust in Facial Recognition Systems in Mongolia.

.- User Perceptions, Acceptance, and Engagement with AI.

.- Tracking Individual Beliefs in Co-Situated Groups Using Multimodal Input.

.- Ensuring Acceptance of Surveillance through AI-supported Radar Technology.