AI as Extraherics:在人机交互中培养高阶思维能力

Koji Yatani, Zefan Sramek, Chi-lan Yang
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引用次数: 0

摘要

随着人工智能(AI)技术(包括生成式人工智能)的不断发展,人们对过度依赖人工智能产生了担忧,因为这可能会导致人类工作枯竭和认知参与度降低。过度依赖人工智能还可能导致用户在没有进行严格审查的情况下接受人工智能提供的信息,从而造成负面影响,例如用幻觉内容误导用户。本文介绍了 "额外的人工智能"(extheric AI)这一人机交互概念框架,它能在完成任务的过程中培养用户的高阶思维能力,如创造力、批判性思维和解决问题的能力。现有的人机交互设计取代或强化了人的认知,与之不同的是,额外的人工智能通过向用户提出问题或提供其他观点,而不是直接回答,来促进用户的认知参与。我们讨论了交互策略、符合认知负荷理论和布鲁姆分类法的评估方法以及未来的研究方向,以确保人类的认知技能仍然是人工智能集成环境中的关键因素,促进人类与人工智能之间的平衡合作。
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AI as Extraherics: Fostering Higher-order Thinking Skills in Human-AI Interaction
As artificial intelligence (AI) technologies, including generative AI, continue to evolve, concerns have arisen about over-reliance on AI, which may lead to human deskilling and diminished cognitive engagement. Over-reliance on AI can also lead users to accept information given by AI without performing critical examinations, causing negative consequences, such as misleading users with hallucinated contents. This paper introduces extraheric AI, a human-AI interaction conceptual framework that fosters users' higher-order thinking skills, such as creativity, critical thinking, and problem-solving, during task completion. Unlike existing human-AI interaction designs, which replace or augment human cognition, extraheric AI fosters cognitive engagement by posing questions or providing alternative perspectives to users, rather than direct answers. We discuss interaction strategies, evaluation methods aligned with cognitive load theory and Bloom's taxonomy, and future research directions to ensure that human cognitive skills remain a crucial element in AI-integrated environments, promoting a balanced partnership between humans and AI.
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