Design Principles for Generative AI Applications
Notes
- Good reference paper for methodology of coming with the design principles
- Qualitative interviews for the final evaluatation
- Principles from lit review and then subsequent revisions based on iterative feedback and finally evaluation with application designers on the effectiveness of the principles
- Heuristics evaluation
Weisz, Justin D., Jessica He, Michael Muller, Gabriela Hoefer, Rachel Miles, and Werner Geyer. 2024. βDesign Principles for Generative AI Applications.β In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems, 1β22. CHI β24. New York, NY, USA: Association for Computing Machinery. https://doi.org/10.1145/3613904.3642466.
In-text annotations
We asked evaluators to examine a range of commercial generative AI applications and identify examples that demonstrate the use of the principles and strategies, as well as examples of generative AI-specific design choices that were not covered by the principles and strategies. This exercise helped us evaluate the relevance, clarity, and coverage of the design principles and strategies.