Design Principles for Generative AI Applications
- URL: http://arxiv.org/abs/2401.14484v1
- Date: Thu, 25 Jan 2024 19:38:21 GMT
- Title: Design Principles for Generative AI Applications
- Authors: Justin D. Weisz, Jessica He, Michael Muller, Gabriela Hoefer, Rachel
Miles, Werner Geyer
- Abstract summary: Generative AI applications present unique design challenges.
There is an urgent need for guidance on how to design user experiences that foster effective and safe use.
We present six principles for the design of generative AI applications.
- Score: 22.587972924039992
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Generative AI applications present unique design challenges. As generative AI
technologies are increasingly being incorporated into mainstream applications,
there is an urgent need for guidance on how to design user experiences that
foster effective and safe use. We present six principles for the design of
generative AI applications that address unique characteristics of generative AI
UX and offer new interpretations and extensions of known issues in the design
of AI applications. Each principle is coupled with a set of design strategies
for implementing that principle via UX capabilities or through the design
process. The principles and strategies were developed through an iterative
process involving literature review, feedback from design practitioners,
validation against real-world generative AI applications, and incorporation
into the design process of two generative AI applications. We anticipate the
principles to usefully inform the design of generative AI applications by
driving actionable design recommendations.
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