Evaluation of User's Engagement with a Movie Recommender System

ARMENTANO, MARCELO G.; SCHIAFFINO, SILVIA N.; AMANDI, ANALIA A.

Silicon Valley

Workshop; ACM RecSys Workshop on Recommender Systems Evaluation: Dimensions and Design (REDD 2014); 2014

In this article we performed an online experiment to test the role of the user?s prior experience with recommender systems in his/her engagement with a new recommendation technology. Our research model is based on the technology acceptance model (TAM) with two new constructs corresponding to the simplicity of the graphical user interface and the skills the user believe he/she has to use recommender systems. Our experiments confirmed the hypothesis that prior userexperience plays an important role in which factors affect the user engagement with a new system.