研究人与AI在企业中如何高效互动，提升用户体验与信任度。
Human-AI Agent Interaction in a Business Context
- 通过定性与定量结合的方法，探索人与AI的交互模式。
- 发现影响用户采纳与信任的关键设计要素。
- 适合关注AI落地、人机协作的企业开发者与设计师。
随着AI代理越来越多地融入核心业务流程，理解并设计有效的人与AI代理交互模式对于价值创造至关重要。本研究识别并评估了正面用户体验（UX）的原则与标准，以及其测量方法。通过混合方法研究，结合定性与定量技术，探讨了人类与AI代理之间的交互模式。研究结果为后续的大规模调查实验提供了基础，用以评估特定设计元素的有效性。这项基础性研究有助于推动更直观、高效的商业环境中人与AI代理的交互发展。
原文摘要 · Abstract (English)
As AI agents are increasingly integrated into core business processes, understanding and designing effective interaction patterns between humans and AI agents becomes crucial for value creation. This study identifies and evaluates principles and criteria for a positive User Experience (UX) with AI agents, along with methods for its measurement. We identify user expectations and needs to facilitate adoption, build trust, and support user-centered decision-making by development teams. Using a mixed-methods approach that combines qualitative and quantitative techniques, we explore interaction patterns between humans and AI agents. The findings from this exploratory research serve as the basis to develop a survey experiment which evaluates the effectiveness of specific design elements on a larger scale. This foundational research contributes to the development of more intuitive and effective human-AI agent interactions in business settings.
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