University of Padua

Questset

Baldoni, Sara and Battisti, Federica and Chiariotti, Federico and Mistrorigo, Fabio and Shofi, Alfi Baqiatus and Testolina, Paolo and Traspadini, Alessandro and Zanella, Andrea and Zorzi, Michele (2024) Questset. [Data Collection]

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The rapid development of Virtual Reality (VR) technology has led the industry and research community to look at its major challenges with increased interest. The main challenge in ensuring a high Quality of Experience (QoE) for users is represented by cybersickness, a phenomenon similar to motion sickness experienced by many VR users, while at the same time, the high data rates needed by VR require the definition of traffic models for network optimization. These two problems are intertwined, but have never been studied jointly before due to the lack of suitable datasets. In this paper, we present Questset, the first dataset designed for this purpose. Questset contains over 40 hours of VR traces from 70 users playing commercially available video games, and includes both traffic data for network optimization, and movement and user experience data for cybersickness and QoE analysis. Therefore, Questset represents an enabler to jointly address the main VR challenges in the near future.

DOI: 10.25430/researchdata.cab.unipd.it.00001179
Keywords: Virtual Reality, User Dataset, Cybersickness, Traffic Modeling
Subjects: Physical:Sciences and Engineering > Computer Science and Informatics: Informatics and information systems, computer science, scientific computing, intelligent systems > Computer graphics, computer vision, multi media, computer games
Physical:Sciences and Engineering > Systems and Communication Engineering: Electrical, electronic, communication, optical and systems engineering > Signal processing
Physical:Sciences and Engineering > Systems and Communication Engineering: Electrical, electronic, communication, optical and systems engineering > Networks (communication networks, sensor networks, networks of robots, etc.)
Physical:Sciences and Engineering > Systems and Communication Engineering: Electrical, electronic, communication, optical and systems engineering > Man-machine-interfaces
Department: Departments > Dipartimento di Ingegneria dell'Informazione (DEI)
Depositing User: Federica Battisti
Date Deposited: 01 Feb 2024 13:00
Last Modified: 02 Feb 2024 16:33
Creators/Authors:
CreatorsEmailORCID
Baldoni, Sarasara.baldoni@unipd.itorcid.org/0000-0001-5642-3430
Battisti, Federicafederica.battisti@unipd.itorcid.org/0000-0002-0846-5879
Chiariotti, Federicofederico.chiariotti@unipd.itorcid.org/0000-0002-7915-7275
Mistrorigo, Fabiofabio.mistrorigo@studenti.unipd.itUNSPECIFIED
Shofi, Alfi Baqiatusalfibaqiatus.shofi@studenti.unipd.itUNSPECIFIED
Testolina, Paolopaolo.testolina@unipd.itorcid.org/0000-0002-5616-1722
Traspadini, Alessandroalessandro.traspadini@unipd.itorcid.org/0000-0003-1526-7536
Zanella, Andreaandrea.zanella@unipd.itorcid.org/0000-0003-3671-5190
Zorzi, Michelemichele.zorzi@unipd.itorcid.org/0000-0003-2870-4678
Type of data: Mixed
Contributors:
ContributionNameEmail
AuthorBaldoni, Sarasara.baldoni@unipd.it
AuthorBattisti, Federicafederica.battisti@unipd.it
AuthorChiariotti, Federicofederico.chiariotti@unipd.it
CollectorMistrorigo, Fabiofabio.mistrorigo@studenti.unipd.it
CollectorShofi, Alfi Baqiatusalfibaqiatus.shofi@studenti.unipd.it
AuthorTestolina, Paolopaolo.testolina@unipd.it
AuthorTraspadini, Alessandroalessandro.traspadini@unipd.it
ReviewerZanella, Andreaandrea.zanella@unipd.it
ReviewerZorzi, Michelemichele.zorzi@unipd.it
Research funder: National Institute of Standards and Technologies, European Commission
Research project title: Modeling VR/AR traffic to create solutions for next-generation networks, RESTART
Grant number: 60NANB21D127 (NIST), PE_0000001 (EC)
Collection period:
FromTo
16 June 202317 January 2024
Resource language: English
Metadata language: English
Additional information: In the API available at https://github.com/signetlabdei/questset we provide some tutorials and examples, and a set of utility functions to read, analyze, and manipulate the data.
Publisher: Research Data Unipd
Date: 24 January 2024
Copyright holders: The Author
URI: https://researchdata.cab.unipd.it/id/eprint/1179

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