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Exploring Indirect Relations between Topics in Augmented Reality to Inform the Design of a Neuroscience Experiment

Title: Exploring Indirect Relations between Topics in Augmented Reality to Inform the Design of a Neuroscience Experiment
Authors: Xu, Boyu; Hardman, Lynda; Hürst, Wolfgang; Sub Multimedia
Publication Year: 2025
Subject Terms: Augmented Reality; Data Visualisation; Topic-based Literature Exploration; User-centred Design; Taverne; Media Technology; Computer Graphics and Computer-Aided Design; Computer Science Applications; Human-Computer Interaction; SDG 3 - Good Health and Well-being
Description: Neuroscientists analyse publications to inform experiment design. Exploring direct relations between topics, such as brain diseases and regions, aids this process. Brain diseases may also connect indirectly to regions through topics such as mental processes. We aim to establish whether exploring indirect relations helps design experiments.Using a user-centred design approach, we interview neuroscientists to establish the usefulness of exploring indirect relations, specify functionality, and design a corresponding visualisation. Nine neuroscientists indicated the visualisation is suitable to present the functionality, the functionality is useful to explore indirect relations, and exploring indirect relations is useful to design experiments.
Document Type: book part
File Description: application/pdf
Language: English
Relation: https://dspace.library.uu.nl/handle/1874/482874
Availability: https://dspace.library.uu.nl/handle/1874/482874
Rights: info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.E50FEC4E
Database: BASE