Student Holle Christensen's short paper Experience analytics: developing a scalable, implicit and rich measure of user experience was accepted at the Triangulation in UX Studies: Learning from Experience Workshop at the ACM Conference on Designing Interactive Systems (DIS) in Edinburgh, Scotland!

Experience analytics: developing a scalable, implicit and rich measure of user experience
Johanne Christensen and Benjamin Watson

Triangulation in UX Studies: Learning from Experience Workshop
ACM Conference on Designing Interactive Systems (DIS) 2017, June 10.

Abstract
New measures of user experience must be defined that can combine the scalability and unobtrusiveness of activity traces with the richness of more traditional measures. Machine learning can be used to predict established UX measures from such activity traces. We advocate research into the type of activity traces needed as input for such measures, the machine learning technology needed, and the user experience components and measures to be predicted.

paper

Presentation