Lindley, J., Akmal, H.A., Pillling, F., Coulton, P., 2020.
Researching AI Legibility through Design
| Output Type: | Conference paper |
| Publication: | CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems |
| Publisher: | Association for Computing Machinery (ACM) |
| Dates: | 25/4/2020 - 30/4/2020 |
| ISBN/ISSN: | 9781450367080 |
| URL: | dx.doi.org/10.1145/3313831.3376792 |
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.