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Adapting User Experience Research Methods for AI-Driven Experiences

Kira Awadalla
Gregorio Convertino
Elizabeth Churchill
ACM CHI 2020 (2020)

Abstract

This short paper describes how to adapt user experience research methods for artificial intelligence (AI)-driven applications. Presently, there is a dearth of guidance for conducting UX research on AI-driven experiences. We describe what makes this class of experiences unique, propose a preliminary foundational framework to categorize AI-driven experiences, and within the framework we show an example of methodological adaptations via a case study.