This poster introduces the development of a recommender system to guide users in adapting a virtual environment into matching objects in the physical world. Emphasis is placed on avoiding cognitive overload resulting from providing options for substitution without considering the number of physical objects present. This is the first step towards a comprehensive recommender system for user-driven adaptation of Virtual Environments through immersive Virtual Reality systems.
|Number of pages
|Published - 6 Apr 2017
|IEEE Virtual Reality 2017 - Los Angeles, United States
Duration: 17 Mar 2017 → 22 Mar 2017
|IEEE Virtual Reality 2017
|17/03/17 → 22/03/17