'It Is Not Always Discovery Time': Four Pragmatic Approaches in Designing AI Systems

要旨

While systems that use Artificial Intelligence (AI) are increasingly becoming part of everyday technology use, we do not fully understand how AI changes design processes. A structured understanding of how designers work with AI is needed to improve the design process and educate future designers. To that end, we conducted interviews with designers who participated in projects which used AI. While past work focused on AI systems created by experienced designers, we focus on the perspectives of a diverse sample of interaction designers. Our results show that the design process of an interactive system is affected when AI is integrated and that design teams adapt their processes to accommodate AI. Based on our data, we contribute four approaches adopted by interaction designers working with AI: a priori, post-hoc, model-centric, and competence-centric. Our work contributes a pragmatic account of how design processes for AI systems are enacted.

著者
Maximiliane Windl
LMU Munich, Munich, Germany
Sebastian S.. Feger
LMU Munich, Munich, Germany
Lara Zijlstra
Utrecht University, Utrecht, Netherlands
Albrecht Schmidt
LMU Munich, Munich, Germany
Paweł W. Woźniak
Utrecht University, Utrecht, Netherlands
論文URL

https://dl.acm.org/doi/abs/10.1145/3491102.3501943

動画

会議: CHI 2022

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2022.acm.org/)

セッション: Intelligent Systems and Applications

383-385
4 件の発表
2022-05-05 01:15:00
2022-05-05 02:30:00