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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- Questset. (deposited 01 Feb 2024 13:00) [Currently Displayed]
Collection description
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 |
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| 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 |
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| 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: |
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| Type of data: | Mixed | ||||||||||||||||||||||||||||||
| Contributors: |
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| 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: |
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| 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 |
orcid.org/0000-0001-5642-3430
