Researching AI Legibility through Design

要旨

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.

キーワード
Artificial Intelligence
Machine Learning
Legibility
Human-Data Interaction
Research through Design
著者
Joseph Lindley
Lancaster University, Lancaster, Lancashire, United Kingdom
Haider Ali Akmal
Lancaster University, Lancaster, Lancashire, United Kingdom
Franziska Pillling
Lancaster University, Lancaster, Lancashire, United Kingdom
Paul Coulton
Lancaster University, Lancaster, Lancashire, United Kingdom
DOI

10.1145/3313831.3376792

論文URL

https://doi.org/10.1145/3313831.3376792

会議: CHI 2020

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2020.acm.org/)

セッション: AI/ML & seeing through the black box

Paper session
313C O'AHU
5 件の発表
2020-04-29 20:00:00
2020-04-29 21:15:00
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