Recommender system for physical object substitution in VR

Adalberto Simeone, Jose Fernando Garcia Estrada

Research output: Contribution to conferencePosterpeer-review


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.
Original languageEnglish
Number of pages1
Publication statusPublished - 6 Apr 2017
EventIEEE Virtual Reality 2017 - Los Angeles, United States
Duration: 17 Mar 201722 Mar 2017


ConferenceIEEE Virtual Reality 2017
Country/TerritoryUnited States
CityLos Angeles


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