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Visualizing learners’ navigation behaviour using 360 degrees interactive videos
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (CeLekt)ORCID iD: 0000-0001-9062-1609
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM).
Linnaeus University, Faculty of Technology, Department of computer science and media technology (CM). (CeLekT)
Linnaeus University, Faculty of Health and Life Sciences, Department of Health and Caring Sciences.
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2019 (English)In: Proceedings of the 15th International Conference on Web Information Systems and Technologies / [ed] Alessandro Bozzon, Francisco Domínguez Mayo & Joaquim Filipe, Vienna: SciTePress, 2019, Vol. 1, p. 358-364Conference paper, Published paper (Refereed)
Abstract [en]

The use of 360-degrees interactive videos for educational purposes in the medical field has increased in recent years, as well as the use of virtual reality in general. Learner’s navigation behavior in 360-degrees interactive video learning environments has not been thoroughly explored yet. In this paper, a dataset of interactions generated by 80 students working in 16 groups while learning about patient trauma treatment using 360-degrees interactive videos is used to visualize learners’ navigation behavior. Three visualization approaches were designed and implemented for exploring users’ navigation paths and patterns of interaction with the learning materials are presented and discussed. The visualization tool was developed to explore the issues above and it provides a comprehensive overview of the navigation paths and patterns. A user study with four experts in the information visualization field has revealed the advantages and drawbacks of our solution. The paper concludes by providing some suggestions for improvements of the proposed visualizations.

Place, publisher, year, edition, pages
Vienna: SciTePress, 2019. Vol. 1, p. 358-364
Keywords [en]
360 degrees interactive video, Interaction patterns, Navigation paths, Visualization, Navigation behaviour
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Media Technology
Identifiers
URN: urn:nbn:se:lnu:diva-89506DOI: 10.5220/0008356203580364ISBN: 9789897583865 (electronic)OAI: oai:DiVA.org:lnu-89506DiVA, id: diva2:1359395
Conference
WEBIST, Vienna, Austria, September 18-20, 2019
Available from: 2019-10-09 Created: 2019-10-09 Last updated: 2019-10-10Bibliographically approved

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Lincke, AlisaLozano Prieto, DavidHerault, Romain ChristianForsgärde, Elin-SofieMilrad, Marcelo
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