Collaborative cooking in VR : effects of network distortion in multi-user virtual environments
- Author
- Mohammad Javad Sameri (UGent) , Sam Van Damme (UGent) , Susanna Schwarzmann, Qing Wei, Riccardo Trivisonno, Filip De Turck (UGent) and Maria Torres Vega (UGent)
- Organization
- Project
- Abstract
- The future of human interaction is virtual. Thus it will require effective collaboration on tasks among users in remote settings. eXtended Reality (XR) is playing a leading role in this transition, offering a realm where virtual collaboration becomes not just possible but essential in situations where physical presence is limited by risk, cost, or complexity. However, while networks are continuously evolving, they can still introduce unexpected impairments that potentially degrade the user perception, i.e., the Quality-of-Experience (QoE), of such Collaborative Virtual Reality (CVR) scenarios. In response to this challenge, this paper presents a demonstrator designed to explicitly showcase the effects of network conditions on CVR. Our platform, centered around a pizza-making game, allows for exploration of the real-time impact of different network parameters, such as packet delay, loss, and throttling on the user engagement and perception in CVR. The framework employs a combination of subjective, objective, and physiological assessments, including the capture of heart rate and skin conductivity, to gain comprehensive insights into user experiences. Our platform not only allows users to directly experience the impact of network impairments on CVR interactions but also provides initial evidence of how such distortions affect both subjective perceptions and objective performance metrics.
- Keywords
- Collaborative Virtual Reality, human-computer interaction, Network Impairments, Quality of Experience, REALITY
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01HW53PP6WDA5R84G05EGRBM8J
- MLA
- Sameri, Mohammad Javad, et al. “Collaborative Cooking in VR : Effects of Network Distortion in Multi-User Virtual Environments.” PROCEEDINGS OF THE 2024 15TH ACM MULTIMEDIA SYSTEMS CONFERENCE 2024, MMSYS 2024, Association for Computing Machinery (ACM), 2024, pp. 509–15, doi:10.1145/3625468.3652201.
- APA
- Sameri, M. J., Van Damme, S., Schwarzmann, S., Wei, Q., Trivisonno, R., De Turck, F., & Torres Vega, M. (2024). Collaborative cooking in VR : effects of network distortion in multi-user virtual environments. PROCEEDINGS OF THE 2024 15TH ACM MULTIMEDIA SYSTEMS CONFERENCE 2024, MMSYS 2024, 509–515. https://doi.org/10.1145/3625468.3652201
- Chicago author-date
- Sameri, Mohammad Javad, Sam Van Damme, Susanna Schwarzmann, Qing Wei, Riccardo Trivisonno, Filip De Turck, and Maria Torres Vega. 2024. “Collaborative Cooking in VR : Effects of Network Distortion in Multi-User Virtual Environments.” In PROCEEDINGS OF THE 2024 15TH ACM MULTIMEDIA SYSTEMS CONFERENCE 2024, MMSYS 2024, 509–15. New York: Association for Computing Machinery (ACM). https://doi.org/10.1145/3625468.3652201.
- Chicago author-date (all authors)
- Sameri, Mohammad Javad, Sam Van Damme, Susanna Schwarzmann, Qing Wei, Riccardo Trivisonno, Filip De Turck, and Maria Torres Vega. 2024. “Collaborative Cooking in VR : Effects of Network Distortion in Multi-User Virtual Environments.” In PROCEEDINGS OF THE 2024 15TH ACM MULTIMEDIA SYSTEMS CONFERENCE 2024, MMSYS 2024, 509–515. New York: Association for Computing Machinery (ACM). doi:10.1145/3625468.3652201.
- Vancouver
- 1.Sameri MJ, Van Damme S, Schwarzmann S, Wei Q, Trivisonno R, De Turck F, et al. Collaborative cooking in VR : effects of network distortion in multi-user virtual environments. In: PROCEEDINGS OF THE 2024 15TH ACM MULTIMEDIA SYSTEMS CONFERENCE 2024, MMSYS 2024. New York: Association for Computing Machinery (ACM); 2024. p. 509–15.
- IEEE
- [1]M. J. Sameri et al., “Collaborative cooking in VR : effects of network distortion in multi-user virtual environments,” in PROCEEDINGS OF THE 2024 15TH ACM MULTIMEDIA SYSTEMS CONFERENCE 2024, MMSYS 2024, Bari, Italy, 2024, pp. 509–515.
@inproceedings{01HW53PP6WDA5R84G05EGRBM8J,
abstract = {{The future of human interaction is virtual. Thus it will require effective collaboration on tasks among users in remote settings. eXtended Reality (XR) is playing a leading role in this transition, offering a realm where virtual collaboration becomes not just possible but essential in situations where physical presence is limited by risk, cost, or complexity. However, while networks are continuously evolving, they can still introduce unexpected impairments that potentially degrade the user perception, i.e., the Quality-of-Experience (QoE), of such Collaborative Virtual Reality (CVR) scenarios. In response to this challenge, this paper presents a demonstrator designed to explicitly showcase the effects of network conditions on CVR. Our platform, centered around a pizza-making game, allows for exploration of the real-time impact of different network parameters, such as packet delay, loss, and throttling on the user engagement and perception in CVR. The framework employs a combination of subjective, objective, and physiological assessments, including the capture of heart rate and skin conductivity, to gain comprehensive insights into user experiences. Our platform not only allows users to directly experience the impact of network impairments on CVR interactions but also provides initial evidence of how such distortions affect both subjective perceptions and objective performance metrics.}},
author = {{Sameri, Mohammad Javad and Van Damme, Sam and Schwarzmann, Susanna and Wei, Qing and Trivisonno, Riccardo and De Turck, Filip and Torres Vega, Maria}},
booktitle = {{PROCEEDINGS OF THE 2024 15TH ACM MULTIMEDIA SYSTEMS CONFERENCE 2024, MMSYS 2024}},
isbn = {{9798400704123}},
keywords = {{Collaborative Virtual Reality,human-computer interaction,Network Impairments,Quality of Experience,REALITY}},
language = {{eng}},
location = {{Bari, Italy}},
pages = {{509--515}},
publisher = {{Association for Computing Machinery (ACM)}},
title = {{Collaborative cooking in VR : effects of network distortion in multi-user virtual environments}},
url = {{http://doi.org/10.1145/3625468.3652201}},
year = {{2024}},
}
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