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http://bura.brunel.ac.uk/handle/2438/24123| Title: | Design Heuristics for Artificial Intelligence: Inspirational Design Stimuli for Supporting UX Designers in Generating AI-Powered Ideas |
| Authors: | Jin, X Evans, M Dong, H Yao, A |
| Keywords: | artificial intelligence;design heuristics;UX design;creativity;design tools |
| Issue Date: | 8-May-2021 |
| Publisher: | Association for Computing Machinery |
| Citation: | Jin, X., Evans, M., Dong, H. and Yao, A. (2021) 'Design Heuristics for Artificial Intelligence: Inspirational Design Stimuli for Supporting UX Designers in Generating AI-Powered Ideas', CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, Yokohama, Japan, 8-13 May, Article no. 219, pp. 1 - 8. doi:10.1145/3411763.3451727. |
| Abstract: | Artificial Intelligence (AI) will provide novel User Experience (UX) solutions if UX designers understand how AI can be best utilized. They need to understand AI capabilities and envisage potential applications. To aid the ideation processes, design heuristics for AI are needed to support UX designers in the conceptual design stage. Forty design heuristics were extracted from 1,755 granted AI patents through a four-step process. The feasibility of the heuristics was verified with two AI-powered case studies: a smart canteen and an online smart shopping system. Case studies suggest that AI design heuristics can be used as design stimuli in the early conceptual design phase to support practitioners in exploring a larger design space for the generation of AI-powered ideas. |
| URI: | https://bura.brunel.ac.uk/handle/2438/24123 |
| DOI: | https://doi.org/10.1145/3411763.3451727 |
| ISBN: | 978-1-4503-8095-9 |
| Other Identifiers: | 219 |
| Appears in Collections: | Brunel Design School Research Papers |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| FullText.pdf | Copyright © ACM, 2021. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems, 08 May 2021. https://doi.org/10.1145/3411763.3451727 | 735.4 kB | Adobe PDF | View/Open |
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