Invisible but Understandable: In Search of the Sweet Spot between Technology Invisibility and Transparency in Smart Spaces and Beyond

S. Diefenbach, Lara Christoforakos, Daniel Ullrich, A. Butz
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引用次数: 1

Abstract

Smart technology is already present in many areas of everyday life. People rely on algorithms in crucial life domains such as finance and healthcare, and the smart car promises a more relaxed driving experience—all the while, the technology recedes further into the background. The smarter the technology, the more intransparent it tends to become. Users no longer understand how the technology works, what its limits are, and what consequences regarding autonomy and privacy emerge. Both extremes, total invisibility and total transparency, come with specific challenges and do not form reasonable design goals. This research explores the potential tension between smart and invisible versus transparent and understandable technology. We discuss related theories from the fields of explainable AI (XAI) as well as trust psychology, and then introduce transparency in smart spaces as a special field of application. A case study explores specific challenges and design approaches through the example of a so-called room intelligence (RI), i.e., a special kind of smart living room. We conclude with research perspectives for more general design approaches and implications for future research.
看不见但可以理解:寻找智能空间中技术不可见与透明之间的最佳点
智能技术已经出现在日常生活的许多领域。人们在金融和医疗等关键生活领域依赖算法,智能汽车承诺提供更轻松的驾驶体验——与此同时,技术进一步退居幕后。技术越智能,就越不透明。用户不再理解这项技术是如何工作的,它的局限性是什么,以及在自主性和隐私方面会产生什么后果。两种极端,完全不可见和完全透明,都带来了特定的挑战,并不能形成合理的设计目标。这项研究探讨了智能和不可见与透明和可理解技术之间的潜在紧张关系。我们从可解释AI (explainable AI, XAI)和信任心理学等领域讨论了相关理论,然后将透明度作为一个特殊的应用领域引入智能空间。案例研究通过所谓的房间智能(RI)的例子探讨了具体的挑战和设计方法,即一种特殊的智能客厅。最后,我们对更一般的设计方法和对未来研究的启示进行了研究展望。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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