James Schaffer, John O'Donovan, & Tobias Höllerer receive Best Paper Award at ACM UMAP 2018

ACM UMAP is the premier international conference for researchers and 
practitioners working on systems that adapt to individual users, to 
groups of users, and that collect, represent, and model user information.

The title of their paper is "Easy to Please: Separating User Experience from Choice Satisfaction."

The paper investigates ways to account for a user’s "ease of 
satisfaction" when measuring choice satisfaction in studies of 
recommendation. With existing measurement methodologies there often is a 
high correlation between the concepts of choice satisfaction (CS, a 
user’s subjective satisfaction with a particular choice in the context 
of a recommendation) and user experience (UX, a user's subjective 
satisfaction with a recommender interface), even though that is not to 
be expected from their definitions. This work demonstrates that changes 
in choice satisfaction can and should be independent from user 
experience and presents methodology for identifying the missing factor, 
baseline satisfaction, via the stand-in construct "ease of 
satisfaction". The methodology proposed here has the potential to help 
researchers identify factors in recommender systems that lead users to 
satisfying choices.