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The Role of Prior Experience in User?s Engagement with a New Recommender System
ARMENTANO, MARCELO G.; SCHIAFFINO, SILVIA N.; AMANDI, ANALIA A.
Foster City, Silicon Valley
Conferencia; ACM Conference on Recommender Systems (RecSys 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 user experience plays an important role in which factors affect the user engagement with a new system.