The Role of Design in Creating Machine-Learning-Enhanced User Experience

摘要

Machine learning (ML) applications that directly interface with everyday users are now increasingly pervasive and powerful. However, user experience (UX) practitioners are lagging behind in leveraging this increasing common technology. ML is not yet a standard part of UX design practice, in either design patterns, prototyping tools, or education. This paper is a reflection on my experience designing ML-mediated UX. I illustrate the role UX practice can play in making machine intelligence usable and valuable for everyday users: it can help identify 1) how to choose the right ML applications. 2) how to design the ML right. The separation of the two concerns is a first step to untangling the tight interplay between ML and UX. I highlight the unique challenges and the implications for future research directions.