This chapter explores how to live with artificial intelligence (AI) as a thinking partner. It begins by extending established user acceptance models (e.g., TAM (Technology Acceptance Model), UTAUT (Unified Theory of Acceptance and Use of Technology)) to address the unique complexities of AI systems. Central to this evolution is a fundamental rethinking of trust as a dynamic progression through phases of initial, deep, and sustained trust. The chapter proposes an AI Thinking Partnership Model (ATPM). This framework introduces critical new factors for evaluating and designing AI interactions, such as “cognitive load fit” and “emotional resonance”. This chapter presents a forward-looking framework for students, researchers, and designers to evaluate or develop AI systems that are fully integrated into human decision-making processes in public health.

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From Acceptance to Thinking Partner

  • Min Wu

摘要

This chapter explores how to live with artificial intelligence (AI) as a thinking partner. It begins by extending established user acceptance models (e.g., TAM (Technology Acceptance Model), UTAUT (Unified Theory of Acceptance and Use of Technology)) to address the unique complexities of AI systems. Central to this evolution is a fundamental rethinking of trust as a dynamic progression through phases of initial, deep, and sustained trust. The chapter proposes an AI Thinking Partnership Model (ATPM). This framework introduces critical new factors for evaluating and designing AI interactions, such as “cognitive load fit” and “emotional resonance”. This chapter presents a forward-looking framework for students, researchers, and designers to evaluate or develop AI systems that are fully integrated into human decision-making processes in public health.