The field of human-AI interaction is rapidly evolving, with a growing focus on understanding the complex dynamics between humans and artificial intelligence systems. Recent research has highlighted the importance of trust in human-AI relationships, with studies exploring the factors that influence trust and the development of frameworks for measuring and evaluating trust. The use of AI in various domains, such as healthcare and education, is also being examined, with a particular emphasis on the potential benefits and challenges of AI-driven systems. Furthermore, the integration of AI into UX design is being investigated, with a focus on developing effective collaboration processes and designing trustworthy AI systems. Noteworthy papers in this area include: Revisiting Trust in the Era of Generative AI, which introduces a new measure for capturing both rational and relational aspects of trust in GenAI. UXer-AI Collaboration Process for Enhancing Trust, which proposes an effective collaboration process and identifies efficient AI collaboration strategies through user studies.
Human-AI Interaction and Trust
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Between Knowledge and Care: Evaluating Generative AI-Based IUI in Type 2 Diabetes Management Through Patient and Physician Perspectives
Modeling AI-Driven Production and Competitiveness A Multi-Agent Economic Simulation of China and the United States
Exploring Artificial Intelligence and Culture: Methodology for a comparative study of AI's impact on norms, trust, and problem-solving across academic and business environments