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DatAR: Comparing Relationships between Brain Regions and Diseases: An Immersive AR Tool for Neuroscientists

Title: DatAR: Comparing Relationships between Brain Regions and Diseases: An Immersive AR Tool for Neuroscientists
Authors: Tanhaei, Ghazaleh; Hardman, Lynda; Hürst, Wolfgang; Sub Visualisation and Graphics; Sub Multimedia; Visualisation and Graphics; Le Callet, Patrick; Perreira Da Silva, Matthieu; Vigier, Toinon; Tahiroğlu, Koray; Murray, Niall; Valenzise, Giuseppe; Wang, Mea
Publication Year: 2023
Subject Terms: augmented reality; exploratory search; information visualization and visual analytics; measures of user experience and performance; neuroscience literature search; virtual reality; Taverne; Human-Computer Interaction; Computer Graphics and Computer-Aided Design
Description: Different brain diseases are associated with distinct patterns of affected brain regions. Neuroscientists aim to understand the variability of these patterns across different brain diseases. We used a user-centered design approach to develop support for neuroscientists in exploring and comparing which regions are affected by which diseases based on neuroscience literature. Our study involved six neuroscientists and nine visualization experts who evaluated the usability and explainability of our visualization tool for comparing disease patterns in brain regions. Our results show that our tool can help neuroscientists explore and visualize relationships between brain regions and diseases, and compare patterns of affected regions in an immersive AR environment.
Document Type: book part
File Description: text/plain
Language: English
Relation: https://dspace.library.uu.nl/handle/1874/431604
Availability: https://dspace.library.uu.nl/handle/1874/431604
Rights: info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.C5B5C97C
Database: BASE