探索如何设计让人信任又共情的AI界面,让机器更懂人心。
The AI Interface: Designing for the Ideal Machine-Human Experience (Editorial)
- 从心理学视角构建人机协作的界面设计框架
- 强调透明与情感敏感性是建立信任的关键
- 适合关注人机交互、用户体验的从业者与研究者
随着人工智能日益融入日常生活,设计直观、可信且富有情感共鸣的人机界面已成为关键挑战。本文编辑介绍特刊,聚焦人工智能体验设计的心理学基础,探讨如何促进人机间的无缝协作。结合医疗、消费科技、职场动态及文化领域的洞见,本辑文章揭示了信任、透明度与情感敏感性在人机交互中的复杂作用。核心主题包括:使AI系统契合用户认知与预期,通过透明与信任克服抵触情绪,以及通过恰当呈现能力降低用户焦虑。综合八项跨领域研究,本文强调人机界面需在效率与共情间取得平衡,兼顾功能与情感维度。最终呼吁建立可落地的设计框架,推动研究与实践融合,以人性化设计提升人类生活质量。
原文摘要 · Abstract (English)
As artificial intelligence (AI) becomes increasingly embedded in daily life, designing intuitive, trustworthy, and emotionally resonant AI-human interfaces has emerged as a critical challenge. This editorial introduces a Special Issue that explores the psychology of AI experience design, focusing on how interfaces can foster seamless collaboration between humans and machines. Drawing on insights from diverse fields (healthcare, consumer technology, workplace dynamics, and cultural sector), the papers in this collection highlight the complexities of trust, transparency, and emotional sensitivity in human-AI interaction. Key themes include designing AI systems that align with user perceptions and expectations, overcoming resistance through transparency and trust, and framing AI capabilities to reduce user anxiety. By synthesizing findings from eight diverse studies, this editorial underscores the need for AI interfaces to balance efficiency with empathy, addressing both functional and emotional dimensions of user experience. Ultimately, it calls for actionable frameworks to bridge research and practice, ensuring that AI systems enhance human lives through thoughtful, human-centered design.
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