Deep-learning based recommenders for the improved user navigation in VR

Murtada Dohan*, Mu Mu*, Suraj Ajit, Tawfiq A. Al-Assadi, Gary Hill, Andreas Mauthe

*Corresponding author for this work

Research output: Contribution to Book/ReportConference Contributionpeer-review

Abstract

Virtual reality (VR) has become a popular choice for education, industrial simulation, entertainment and healthcare applications. User navigation is an essential propriety of virtual applications. However, novice audiences often face the difficulty of engaging with the virtual surrounding environment. This work presents a novel design of a deep learning-based navigation solution to improve the quality of user experience and the engagement with virtual content. We compare two navigation methods avatar-based and arrows-based guidance, both of which are driven by a recurrent neural network (RNN) model. We capture participants’ mobility and eye-gaze to compare the impact of different navigation affects on users’ engagement in VR applications.
Original languageEnglish
Title of host publicationACM International Conference on Interactive Media Experiences (ACM IMX 2022)
PublisherAssociation for Computing Machinery (ACM)
Publication statusAccepted/In press - 21 Apr 2022
Event ACM IMX 2022:: ACM International Conference on Interactive Media Experiences - Universidade de Aveiro, Aveiro, Portugal
Duration: 22 Jun 202224 Jun 2022

Conference

Conference ACM IMX 2022:
Country/TerritoryPortugal
CityAveiro
Period22/06/2224/06/22

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