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On Shooting Stars: Comparing CAVE and HMD Immersive Virtual Reality Exergaming for Adults with Mixed Ability

Authors:

Michael Powell,

Evanjelin Mahmoodi,

Nico Hawthorne,

Mircea Teodorescu,

Sri KurniawanAuthors Info & Claims

ACM Transactions on Computing for Healthcare , Volume 1, Issue 4

Article No.: 22, Pages 1 - 22

https://doi.org/10.1145/3396249

Published: 30 September 2020 Publication History

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Abstract

Inactivity and a lack of engagement with exercise is a pressing health problem in the United States and beyond. Immersive Virtual Reality (iVR) is a promising medium to motivate users through engaging virtual environments. Currently, modern iVR lacks a comparative analysis between research and consumer-grade systems for exercise and health. This article examines two such iVR mediums: the Cave Automated Virtual Environment (CAVE) and the head-mounted display (HMD). Specifically, we compare the room-scale Mechdyne CAVE and HTC Vive Pro HMD with a custom in-house exercise game that was designed such that user experiences were as consistent as possible between both systems. To ensure that our findings are generalizable for users of varying abilities, we recruited 40 participants with and without cognitive disabilities with regard to the fact that iVR environments and games can differ in their cognitive challenge between users. Our results show that across all abilities, the HMD excelled in in-game performance, biofeedback response, and player engagement. We conclude with considerations in utilizing iVR systems for exergaming with users across cognitive abilities.

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Cited By

Mielcarek MRzeźniczak MLebiedź J(2024)Immersion in Virtual Reality: CAVE Automatic Virtual Environments vs. Head-Mounted DisplaysProceedings of the 32nd International Conference on Information Systems Development10.62036/ISD.2024.62Online publication date: 2024
https://doi.org/10.62036/ISD.2024.62
Albanese GBucchieri APodda JTacchino ABuccelli SDe Momi ELaffranchi MMannella KHolmes MZenzeri JDe Michieli LBrichetto GBarresi G(2024)Robotic systems for upper-limb rehabilitation in multiple sclerosis: a SWOT analysis and the synergies with virtual and augmented environmentsFrontiers in Robotics and AI10.3389/frobt.2024.133514711Online publication date: 27-Feb-2024
https://doi.org/10.3389/frobt.2024.1335147
Pivotto IMatias Vde Paula Ferreira W(2024)Cave Automatic Virtual Environment Technology to Enhance Social Participation of Autistic People: A Classification and Literature ReviewSSRN Electronic Journal10.2139/ssrn.4763472Online publication date: 2024
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Index Terms

On Shooting Stars: Comparing CAVE and HMD Immersive Virtual Reality Exergaming for Adults with Mixed Ability
1. Hardware
  1. Emerging technologies
    1. Analysis and design of emerging devices and systems
2. Human-centered computing
  1. Accessibility
    1. Accessibility design and evaluation methods
  2. Human computer interaction (HCI)
    1. HCI design and evaluation methods
      1. User studies

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cover image ACM Transactions on Computing for Healthcare

ACM Transactions on Computing for Healthcare Volume 1, Issue 4

Special Issue on Wearable Technologies for Smart Health: Part 1

October 2020

184 pages

EISSN:2637-8051

DOI:10.1145/3427421

Editors:
Insup Lee
University of Pennsylvania, USA
,
John A. Stankovic
University of Virginia, USA

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Publication History

Published: 30 September 2020

Online AM: 07 May 2020

Accepted: 01 April 2020

Revised: 01 March 2020

Received: 01 August 2019

Published in HEALTH Volume 1, Issue 4

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Cited By

Mielcarek MRzeźniczak MLebiedź J(2024)Immersion in Virtual Reality: CAVE Automatic Virtual Environments vs. Head-Mounted DisplaysProceedings of the 32nd International Conference on Information Systems Development10.62036/ISD.2024.62Online publication date: 2024
https://doi.org/10.62036/ISD.2024.62
Albanese GBucchieri APodda JTacchino ABuccelli SDe Momi ELaffranchi MMannella KHolmes MZenzeri JDe Michieli LBrichetto GBarresi G(2024)Robotic systems for upper-limb rehabilitation in multiple sclerosis: a SWOT analysis and the synergies with virtual and augmented environmentsFrontiers in Robotics and AI10.3389/frobt.2024.133514711Online publication date: 27-Feb-2024
https://doi.org/10.3389/frobt.2024.1335147
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