My recent UMUAI article on recommender transparency and user acceptance was selected as the winner of the 2008 James Chen Annual Award for Best UMUAI Paper!
The award commemorates of James R. Chen, a researcher in the area of user modeling and information retrieval and is awarded yearly to one selected article from that year’s User-Modeling and User-Adapted Interaction journal volume.
The study described in the paper investigated the effects of offering explanations of personalised recommendations on trust and acceptance. Results show that explaining to the user why a recommendation was made increased acceptance of recommendations, but that it might not necessarily improve overall trust in the system itself. We also provided a number of design guidelines for user-adaptive systems based on our observations, concerning gradual adaptation, users’ mental models, identification of possible misconceptions and integration of recommendation features in the complete interaction design. Free access to the full paper here