Publication:
The Human muscular arm avatar as an interactive visualization tool in learning anatomy: medical students' perspectives

dc.contributor.coauthorÇakmak, Yusuf Özgür
dc.contributor.coauthorDaniel, Ben Kei
dc.contributor.coauthorHammer, Niels
dc.contributor.coauthorIrmak, Erdem Can
dc.contributor.coauthorKhwaounjoo, Prashanna
dc.contributor.kuauthorYılmaz, Onur
dc.contributor.schoolcollegeinstituteSchool of Medicine
dc.date.accessioned2024-11-09T12:19:14Z
dc.date.issued2020
dc.description.abstractThe perception of body ownership creates a sense of embodiment, which can be a powerful learning tool. Embodied learning can occur by watching an individual's body movement and also via human-computer interactions, such as virtual reality (VR) and augmented reality (AR). In this article, we designed and implemented a novel virtual body-ownership AR/VR tool for human anatomy-the human muscular arm avatar (HMAA). HMAA utilizes embodiment-based body ownership to explore the human hand/forearm musculature. The HMAA was trialed with medical students to explore the extent to which it could be used to aid student learning. The key findings of the usability study suggest that 98% (N = 100) of students found the tool extremely useful; 83% reported that the tool allowed them to engage with the learning materials, peers, and content effectively. Also, 10% of students mentioned that the HMAA fostered an embodied learning experience. This triggered an intentional exploration of instances suggesting embodiment in the data. HMAA is believed to have allowed individuals to visualize and conceptualize abstract ideas that would have been otherwise challenging using static models. The outcomes of this article indicate the significant potential of body-ownership-based self-learning tools for anatomy. However, further studies using learning outcomes are needed to investigate the potential advantages of body-ownership-based tools compared to current learning techniques.
dc.description.fulltextYES
dc.description.indexedbyWoS
dc.description.indexedbyScopus
dc.description.issue3
dc.description.openaccessYES
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipUniversity of Otago Teaching Development Grant
dc.description.versionPublisher version
dc.description.volume13
dc.formatpdf
dc.identifier.doi10.1109/TLT.2020.2995163
dc.identifier.embargoNO
dc.identifier.filenameinventorynoIR02501
dc.identifier.issn1939-1382
dc.identifier.linkhttps://doi.org/10.1109/TLT.2020.2995163
dc.identifier.quartileQ1
dc.identifier.scopus2-s2.0-85085750599
dc.identifier.urihttps://hdl.handle.net/20.500.14288/1486
dc.identifier.wos571741000012
dc.keywordsTools
dc.keywordsThumb
dc.keywordsAvatars
dc.keywordsMuscles
dc.keywordsUsability
dc.keywordsCameras
dc.keywordsAnatomy learning
dc.keywordsAugmented reality (AR)
dc.keywordsData visualization and learning
dc.keywordsDigital learning tools
dc.keywordsEmbodied cognition
dc.keywordsEmbodied learning
dc.keywordsUsability study
dc.keywordsVirtual reality (VR)
dc.languageEnglish
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.grantnoNA
dc.relation.urihttp://cdm21054.contentdm.oclc.org/cdm/ref/collection/IR/id/9139
dc.sourceIEEE Transactions on Learning Technologies
dc.subjectComputer science, interdisciplinary applications
dc.subjectEducation and educational research
dc.titleThe Human muscular arm avatar as an interactive visualization tool in learning anatomy: medical students' perspectives
dc.typeJournal Article
dspace.entity.typePublication
local.contributor.kuauthorYılmaz, Onur

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