Disruptions to shared mental models from poor quality of service in collaborative virtual environments.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
07 12 2021
Historique:
received: 17 08 2021
accepted: 16 11 2021
entrez: 8 12 2021
pubmed: 9 12 2021
medline: 28 1 2022
Statut: epublish

Résumé

Collaborative virtual environments are being used in various applications ranging from online games to complex team training scenarios. The key to the success of such environments is the ability of the participants to form a shared mental model of the collaborative task being performed. Poor quality of service can deteriorate user performance and quality of experience, leading to a disruption of this mental model. While the effects of quality of service have been analyzed for traditional desktop environments, these effects remain unclear in collaborative virtual environments during user-to-user interactions. Here, we analyze the role of latency and packet bursts, two common problems in collaborative applications, on both simulator perception and actual task performance in a collaborative fire-fighting simulator. This exploratory study indicates that large latencies have a significant (p < 0.05) impact on the quality of experience, but not task performance. In contrast, packet bursts have a much larger impact on both the quality of experience and performance. Additionally, the network role, such as whether a user is a client or server, showed a significant (p < 0.05) impact on task performance in conditions impaired by packet bursts.

Identifiants

pubmed: 34876607
doi: 10.1038/s41598-021-02567-7
pii: 10.1038/s41598-021-02567-7
pmc: PMC8651719
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

23556

Subventions

Organisme : NIBIB NIH HHS
ID : R01 EB005807
Pays : United States

Informations de copyright

© 2021. The Author(s).

Références

Surg Endosc. 2017 Sep;31(9):3527-3533
pubmed: 28039649
Ann Thorac Surg. 2019 Mar;107(3):954-961
pubmed: 30292841
Surg Endosc. 2021 Feb;35(2):779-786
pubmed: 32072293

Auteurs

Nicholas Milef (N)

Department of Computer Science and Engineering, Texas A&M University, College Station, TX, 77843, USA. nicholas.milef@tamu.edu.

Adam Ryason (A)

Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, 12180, USA.

Di Qi (D)

Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, 12180, USA.

Samuel O Alfred (SO)

Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, 12180, USA.

Cullen D Jackson (CD)

Beth Israel Deaconess Medical Center, Boston, MA, 02215, USA.
Harvard Medical School, Boston, MA, 02215, USA.

Suvranu De (S)

Center for Modeling, Simulation, and Imaging in Medicine, Rensselaer Polytechnic Institute, Troy, 12180, USA.

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Classifications MeSH