Recommender system for physical object substitution in VR

Adalberto Simeone; Jose Fernando Garcia Estrada

doi:10.1109/VR.2017.7892325

Recommender system for physical object substitution in VR

Adalberto Simeone, Jose Fernando Garcia Estrada

School of Computing

Research output: Contribution to conference › Poster › peer-review

Abstract

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 language	English
Number of pages	1
DOIs	https://doi.org/10.1109/VR.2017.7892325
Publication status	Published - 6 Apr 2017
Event	IEEE Virtual Reality 2017 - Los Angeles, United States Duration: 17 Mar 2017 → 22 Mar 2017

Conference

Conference	IEEE Virtual Reality 2017
Country/Territory	United States
City	Los Angeles
Period	17/03/17 → 22/03/17

Access to Document

10.1109/VR.2017.7892325

http://ieeexplore.ieee.org/document/7892325/

Cite this

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AB - 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.

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M3 - Poster

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Y2 - 17 March 2017 through 22 March 2017

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Recommender system for physical object substitution in VR

Abstract

Conference

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Cite this