论文标题
如何支持用户了解智能系统？构建讨论
How to Support Users in Understanding Intelligent Systems? Structuring the Discussion
论文作者
论文摘要
许多智能系统的不透明性质违反了既定的可用性原则，因此对人类计算机互动提出了挑战。因此，该领域的研究强调了对透明度，可言式，清晰度，可解释性和解释性的需求。尽管所有这些术语都具有支持用户了解智能系统的愿景，但有关用户及其与系统的互动的基本观念和假设通常不清楚。我们通过隐含用户问题的镜头回顾了HCI中的文献，以综合一个概念框架，该概念框架集成了用户的思维方式，用户参与以及知识成果，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歧义，并使研究人员能够澄清他们的假设并意识到先前工作中的假设。因此，我们希望在HCI研究社区中推进和构建对话，以支持用户了解智能系统。
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.
