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Evaluation for Iteration; Pre-Pilot Design & Results of an Anatomy Education VR Resource (iLRN2023)

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PRESENTER: Panagiotis Antoniou, Aristotle University of Thessaloniki, Greece

ABSTRACT. Extended reality (XR), which includes VR and AR, has several applications in medical education and surgery. In terms of resources, the global virtual reality sector was valued USD 3.10 billion in 2019 and is expected to be worth USD 57.55 billion by 2027. The creation of such engaging resources, on the other hand, is based on several iterative implementations influenced by real user input. The problem of producing and making available material is then addressed using participatory design approaches like quacan. Through thematic analysis, qualitative evaluation is an efficient technique to comprehend the concepts, opinions, and personal experiences of the participants. Thematic analysis is a widely used technique for extracting meaning and arranging feedback from qualitative data. Developers and researchers can acquire extensive descriptions of the developed resources by applying qualitative methods and thematic analysis. Furthermore, qualitative research methods are useful in producing enhancements and features for continuous development, as well as outlining and resolving any concerns that may arise. This paper describes the design approach and implementation of a qualitative evaluation plan on a group of educational anatomy VR resources' pre-pilots. Six VR materials, three for neuroanatomy and three for hepatic anatomy, were examined in three European medical education institutions with distinct audiences. Personal semi-structured interviews were used to collect feedback on usability, acceptance, and perceived utility. Specific suggestions for additions and functionality were gathered. These multi-centric qualitative pre-pilots also yielded insights into the best design of XR resources for anatomy teaching.

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