Researching AI Legibility through Design
Researching AI Legibility through Design
复制标题
DOI：
10.1145/3313831.3376792
复制
发表时间：
2020-04
期刊：
影响因子：
--
通讯作者：
Joseph Lindley;H. Akmal;Franziska Pilling;P. Coulton
中科院分区：
文献类型：
--
作者：
Joseph Lindley;H. Akmal;Franziska Pilling;P. Coulton
与计算机的日常交互越来越有可能涉及人工智能（AI）的元素。AI涵盖了广泛的技术和应用，为HCI和设计带来了许多挑战。其中一个挑战是需要以一种有意义的方式让用户清楚地了解AI在给定系统中的角色。在本文中，我们采用了研究通过设计（RTD）的方法来探讨如何实现这一点。基于当代的关注和对相关研究的深入探索，我们的RtD过程反映了设计图像，旨在帮助提高用户的AI易读性。本文有三个贡献。首先，我们彻底探索先前的研究，以批判性地解开AI易读性问题空间。其次，我们回应设计方案，其目的是提高使用AI的系统对用户的可读性。第三，我们探讨了设计主导的调查作为批判性地探索人机交互和人工智能研究之间的交叉点的工具的作用。
Everyday interactions with computers are increasingly likely to involve elements of Artificial Intelligence (AI). Encompassing a broad spectrum of technologies and applications, AI poses many challenges for HCI and design. One such challenge is the need to make AI's role in a given system legible to the user in a meaningful way. In this paper we employ a Research through Design (RtD) approach to explore how this might be achieved. Building on contemporary concerns and a thorough exploration of related research, our RtD process reflects on designing imagery intended to help increase AI legibility for users. The paper makes three contributions. First, we thoroughly explore prior research in order to critically unpack the AI legibility problem space. Second, we respond with design proposals whose aim is to enhance the legibility, to users, of systems using AI. Third, we explore the role of design-led enquiry as a tool for critically exploring the intersection between HCI and AI research.