The four-volume set LNAI 1581915822 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.

Klappentext

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.

Inhalt

.- Bias Mitigation and Ethics in AI Systems.

.- Research Ethics for Data Collection from Human Participants Case Study and Recommendations.

.- A Synthesis of Reflections, Attitudes and Suggestions Towards Mindful Implementation of LLMs in Digital First Pathways.

.- Mechanistic Exploration of the Architectural Impact of DPO Fine-Tuning on Ethical Alignment in LLMs.

.- Prompting Fairness: How End Users Can Mitigate Bias in AI Systems.

.- Bias in AI Recommender Systems: Examining Gender Disparities in STEM and Non-STEM Career Recommendations for Professional Development.

.- Mapping Moral Reasoning Circuits: A Mechanistic Analysis of Ethical Decision-Making in Large Language Model.

.- Evaluating Fairness and Bias in Large Language Models for Tabular Data.

.- Human-AI Collaboration and Teaming.

.- Exploring the Application of AI to Qualitative Data Analysis: A Comparative Study in the Field of Industrial Design Education. ****

.- The Core Building Blocks of Human-AI Teaming: Conceptualization and Typology Development.

.- AI as a Sparring Partner an HCAI Approach to Promote Human Capabilities.

.- AI-Supported Root Cause Analysis in Automotive Quality Problem Solving: A Cross Domain Literature Review.

.- Pair Programming in the Lab vs. Wild: A Qualitative Analysis of Creativity Strategies and Dialogue Styles for Agent Training Data.

.- The Practice and Challenges of "Human-AI Co-creation" in Music Composition.

.- AI Agent Assist User Research: Collaborative Role Analysis to Inspire Designer Creativity.

.- Chatbots and AI-Driven Conversational Agents.

.- A Virtual Support Agent for University Students Powered by a Large Language Model: Conversational User Experience Design Considerations.

.- Navigating Misinformation: Understanding User Frustration in AI-Driven Chatbot Interactions.

.- Designing Anthropomorphic Conversational Agents to Enhance Laypeople's Acceptance of Generative AI.

.- An Exploratory Study into the Impact of AI Literacy Training on Anthropomorphism and Trust in Conversational AI.

.- Emotional or Informational? An Investigation on the Roles of Chatbots and Online Communities during the Consumer Journey.

.- The Two Sides of Heuristics: How Positive and Negative Bias Influence Chatbot Acceptance.

.- AI in Language Processing and Communication.

.- Automating Dialogue Evaluation: LLMs vs Human Judgment.

.- Post-Editing vs Neural Machine Translation: A Comparative Study of English Mandarin Translations in Daily Conversations.

.- AI-Based Pronunciation Assessment and Grammatical Error Correction with Feedback for the German Language.

.- Large Language Models for the Analysis of Project Proposals.

.- Human-AI Interaction: Research and Innovation in Real-Time Speech Generation, Interpretation, and Translation.

.- Named Entity Recognition on Ancient Languages Using Large Language Models: An Exploratory Study.