如何帮助用户理解智能系统？组织讨论
How to Support Users in Understanding Intelligent Systems? Structuring the Discussion
摘要：
许多智能系统的不透明本质违反了已建立的可用性原则，因此对人机交互提出了挑战。因此，该领域的研究突出表明，除其他外，需要透明度、可理解性、可解释性和可解释性。虽然所有这些术语都带有支持用户理解智能系统的愿景，但关于用户及其与系统交互的基本概念和假设通常仍然不清楚。我们回顾了HCI中的文献，通过隐含的用户问题的镜头来合成一个概念框架，将用户的心态，用户参与和知识成果整合在一起，以揭示，区分和分类先前工作中的当前概念。该框架旨在解决该领域的概念模糊性，使研究人员能够澄清他们的假设，并意识到在以前的工作中所做的。因此，我们希望在HCI研究社区中推进和构建对话，以支持用户理解智能系统。
英文摘要：
The opaque nature of many intelligent systems violates established usability principles and thus presents a challenge for human-computer interaction. Research in the field therefore highlights the need for transparency, scrutability, intelligibility, interpretability and explainability, among others. While all of these terms carry a vision of supporting users in understanding intelligent systems, the underlying notions and assumptions about users and their interaction with the system often remain unclear. We review the literature in HCI through the lens of implied user questions to synthesise a conceptual framework integrating user mindsets, user involvement, and knowledge outcomes to reveal, differentiate and classify current notions in prior work. This framework aims to resolve conceptual ambiguity in the field and enables researchers to clarify their assumptions and become aware of those made in prior work. We thus hope to advance and structure the dialogue in the HCI research community on supporting users in understanding intelligent systems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
