research-article

A Recommender System of Extended Reality Experiences

Authors:

Irene Gironacci,

John McCormickAuthors Info & Claims

ICIGP '20: Proceedings of the 2020 3rd International Conference on Image and Graphics Processing

Pages 96 - 100

https://doi.org/10.1145/3383812.3383839

Published: 25 March 2020 Publication History

Abstract

Interest in Extended Reality (XR) technologies - such as virtual, augmented, and mixed reality - has increased, due to the opportunities offered by such technologies to provide users with live immersive digital experiences. In particular, these technologies for simulations have been widely used in recent years in entertainment and training industries, but have often been limited by the predictability of the simulation, and the lack of personalization in terms of simulation suggestions. This project proposes an Extended Reality simulator that uses Artificial Intelligence to suggest Extended Reality experiences (or scenarios) to users, through a collaborative filtering approach.

This paper gives an overview of the extended reality simulators currently available, as well as the challenges involved, and describes how the proposed system resolves those challenges. It then illustrates the components of the developed software platform and investigates a collaborative filtering item-based recommendation system as a possible approach to propose Extended Reality experiences. The usage of this simulator for professional training can be highly valuable: the simulator will recommend personalized extended reality training experiences to the user, facilitating the learning of new skills.

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Cited By

Koukopoulos DDafiotis PSylaiou SKoukoulis KAntoniou AVital RFidas C(2022)Personalization services in art education environments: first survey results2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)10.1109/IISA56318.2022.9904365(1-8)Online publication date: 18-Jul-2022
https://doi.org/10.1109/IISA56318.2022.9904365
Soares IB. Sousa RPetry MMoreira A(2021)Accuracy and Repeatability Tests on HoloLens 2 and HTC ViveMultimodal Technologies and Interaction10.3390/mti50800475:8(47)Online publication date: 23-Aug-2021
https://doi.org/10.3390/mti5080047
Lam KLee LHui PShen HZhuang YSmith JYang YCesar PMetze FPrabhakaran B(2021)A2W: Context-Aware Recommendation System for Mobile Augmented Reality Web BrowserProceedings of the 29th ACM International Conference on Multimedia10.1145/3474085.3475413(2447-2455)Online publication date: 17-Oct-2021
https://dl.acm.org/doi/10.1145/3474085.3475413

Index Terms

A Recommender System of Extended Reality Experiences

Recommendations

Extended Reality Experiences Prediction using Collaborative Filtering
SA '19: SIGGRAPH Asia 2019 Doctoral Consortium

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Exploring Extended Reality as a Simulation Training Tool Through Naturalistic Interactions and Enhanced Immersion
Virtual, Augmented and Mixed Reality. Applications and Case Studies
Abstract
Augmented reality (AR), mixed reality (MR), and virtual reality (VR) technologies – collectively extended reality (XR) – have been discussed in the context of training applications since their introduction to the market. While this discussion was ...
User Experience Guidelines for Designing HMD Extended Reality Applications
Human-Computer Interaction – INTERACT 2019
Abstract
With the rise of Extended Reality (XR) technologies, such as head mounted displays (HMD) for Virtual Reality (VR), Mixed Reality (MR), and Augmented Reality (AR), designers are presented with many unique challenges and opportunities when creating ...

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cover image ACM Other conferences

ICIGP '20: Proceedings of the 2020 3rd International Conference on Image and Graphics Processing

February 2020

172 pages

ISBN:9781450377201

DOI:10.1145/3383812

Copyright © 2020 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Nanyang Technological University
UNIBO: University of Bologna

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Association for Computing Machinery

New York, NY, United States

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Published: 25 March 2020

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ICIGP 2020

ICIGP 2020: 2020 3rd International Conference on Image and Graphics Processing

February 8 - 10, 2020

Singapore, Singapore

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Cited By

Koukopoulos DDafiotis PSylaiou SKoukoulis KAntoniou AVital RFidas C(2022)Personalization services in art education environments: first survey results2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA)10.1109/IISA56318.2022.9904365(1-8)Online publication date: 18-Jul-2022
https://doi.org/10.1109/IISA56318.2022.9904365
Soares IB. Sousa RPetry MMoreira A(2021)Accuracy and Repeatability Tests on HoloLens 2 and HTC ViveMultimodal Technologies and Interaction10.3390/mti50800475:8(47)Online publication date: 23-Aug-2021
https://doi.org/10.3390/mti5080047
Lam KLee LHui PShen HZhuang YSmith JYang YCesar PMetze FPrabhakaran B(2021)A2W: Context-Aware Recommendation System for Mobile Augmented Reality Web BrowserProceedings of the 29th ACM International Conference on Multimedia10.1145/3474085.3475413(2447-2455)Online publication date: 17-Oct-2021
https://dl.acm.org/doi/10.1145/3474085.3475413

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