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学術論文

Multidimensional evaluation of virtual reality paradigms in clinical neuropsychology: Application of the VR-check framework

MPS-Authors
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Tromp,  Johanne
Berlin School of Mind and Brain, Humboldt University Berlin, Germany;
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Quinque,  Eva Maria
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Clinic for Cognitive Neurology, University of Leipzig, Germany;

Belger,  Julia
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Clinic for Cognitive Neurology, University of Leipzig, Germany;

Klotzsche,  Felix
Berlin School of Mind and Brain, Humboldt University Berlin, Germany;
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

de Mooij,  Jeroen
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Clinic for Cognitive Neurology, University of Leipzig, Germany;

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Akbal,  Mert
Berlin School of Mind and Brain, Humboldt University Berlin, Germany;
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Hochschule der Bildenden Künste Saar, Saarbrücken, Germany;

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Villringer,  Arno
Berlin School of Mind and Brain, Humboldt University Berlin, Germany;
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Clinic for Cognitive Neurology, University of Leipzig, Germany;

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Gaebler,  Michael
Berlin School of Mind and Brain, Humboldt University Berlin, Germany;
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

Thöne-Otto,  Angelika
Department Neurology, MPI for Human Cognitive and Brain Sciences, Max Planck Society;
Clinic for Cognitive Neurology, University of Leipzig, Germany;

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フルテキスト (公開)

Krohn_2020.pdf
(出版社版), 888KB

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引用

Krohn, S., Tromp, J., Quinque, E. M., Belger, J., Klotzsche, F., Rekers, S., Chojecki, P., de Mooij, J., Akbal, M., McCall, C., Villringer, A., Gaebler, M., Finke, C., & Thöne-Otto, A. (2020). Multidimensional evaluation of virtual reality paradigms in clinical neuropsychology: Application of the VR-check framework. Journal of Medical Internet Research (JMIR), 22(4):. doi:10.2196/16724.


引用: https://hdl.handle.net/21.11116/0000-0006-72BC-6
要旨
Virtual reality (VR) represents a key technology of the 21st century, attracting substantial interest from a wide range of scientific disciplines. With regard to clinical neuropsychology, a multitude of new VR applications are being developed to overcome the limitations of classical paradigms. Consequently, researchers increasingly face the challenge of systematically evaluating the characteristics and quality of VR applications to design the optimal paradigm for their specific research question and study population. However, the multifaceted character of contemporary VR is not adequately captured by the traditional quality criteria (ie, objectivity, reliability, validity), highlighting the need for an extended paradigm evaluation framework. To address this gap, we propose a multidimensional evaluation framework for VR applications in clinical neuropsychology, summarized as an easy-to-use checklist (VR-Check). This framework rests on 10 main evaluation dimensions encompassing cognitive domain specificity, ecological relevance, technical feasibility, user feasibility, user motivation, task adaptability, performance quantification, immersive capacities, training feasibility, and predictable pitfalls. We show how VR-Check enables systematic and comparative paradigm optimization by illustrating its application in an exemplary research project on the assessment of spatial cognition and executive functions with immersive VR. This application furthermore demonstrates how the framework allows researchers to identify across-domain trade-offs, makes deliberate design decisions explicit, and optimizes the allocation of study resources. Complementing recent approaches to standardize clinical VR studies, the VR-Check framework enables systematic and project-specific paradigm optimization for behavioral and cognitive research in neuropsychology.