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Comparing desktop 3D virtual reality with web 2.0 interfaces : Identifying key factors behind enhanced user capabilities

Sudár, Anna and Csapó, Ádám Balázs (2024) Comparing desktop 3D virtual reality with web 2.0 interfaces : Identifying key factors behind enhanced user capabilities. Heliyon, 10 (11). DOI https://doi.org/10.1016/j.heliyon.2024.e31717

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Official URL: https://doi.org/10.1016/j.heliyon.2024.e31717

The research presented in this paper was supported by the Hungarian Research Network (HUN-REN), and was carried out within the HUN-REN Cognitive Mapping of Decision Support Systems research group.

Abstract

The aim of this paper is to investigate how commonly used 2D digital layouts can be transformed into 3-dimensional dashboards with the effect of reducing cognitive load. To this end, we compared user performance metrics, pupil dilation data as well as subject-reported qualitative measures in a Web 2.0-based 2D scenario and two different versions of a desktop 3D virtual reality scenario. All three scenarios focused on a use case involving the most prevalent 2D digital formats and designs encountered in digital education, making use of e.g. textual information (PDF files, PPT files), images and videos. Based on the assumption that cognitive load differences can be validated based on pupillometry measurements, we showed that it is possible to develop 3D virtual reality scenarios where users experience less cognitive load while achieving the same performance metrics as in commonly used 2D environments. At the same time, our experiment also showed that such improvements do not come automatically; instead, 3D workflows that require less locomotion – even at the expense of increased camera rotations – seem to result in more effective cognitive load reduction.

Item Type:Article
Uncontrolled Keywords:3D environments, desktop VR, human cognitive capabilities, spatial workflow management, digital workflow effectiveness
Divisions:Corvinus Institute for Advanced Studies (CIAS)
Subjects:Knowledge economy, innovation
Labour economics
Computer science
Funders:Hungarian Research Network (HUN-REN)
DOI:https://doi.org/10.1016/j.heliyon.2024.e31717
ID Code:10102
Deposited By: MTMT SWORD
Deposited On:03 Jul 2024 10:48
Last Modified:03 Jul 2024 10:48

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