Abstract

Advances in artificial intelligence (AI) frame opportunities and challenges for user interface design. Principles for human-AI interaction have been discussed in the human-computer interaction community for over two decades, but more study and innovation are needed in light of advances in AI and the growing uses of AI technologies in human-facing applications. We propose 18 generally applicable design guidelines for human-AI interaction. These guidelines are validated through multiple rounds of evaluation including a user study with 49 design practitioners who tested the guidelines against 20 popular AI-infused products. The results verify the relevance of the guidelines over a spectrum of interaction scenarios and reveal gaps in our knowledge, highlighting opportunities for further research. Based on the evaluations, we believe the set of design guidelines can serve as a resource to practitioners working on the design of applications and features that harness AI technologies, and to researchers interested in the further development of human-AI interaction design principles.

Keywords

Computer scienceRelevance (law)Set (abstract data type)Human–computer interactionFrame (networking)Interaction designUser interfaceHuman interactionData scienceKnowledge managementArtificial intelligence

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Publication Info

Year
2019
Type
article
Pages
1-13
Citations
1446
Access
Closed

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Cite This

Saleema Amershi, Dan Weld, Mihaela Vorvoreanu et al. (2019). Guidelines for Human-AI Interaction. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems , 1-13. https://doi.org/10.1145/3290605.3300233

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DOI
10.1145/3290605.3300233

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Data completeness: 77%