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Strategies to reduce visual attention changes while learning and training in extended reality environments
Computer-Based training (CBT) is a widely used strategy in interactive learning and skills training to provide the trainee with information while in training. Extended Reality (XR) is a set of technologies used in the fourth industrial revolution for this purpose. However, an important XR limitation...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Paris
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741709/ http://dx.doi.org/10.1007/s12008-022-01092-9 |
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author | Bautista, Luis Maradei, Fernanda Pedraza, Gabriel |
author_facet | Bautista, Luis Maradei, Fernanda Pedraza, Gabriel |
author_sort | Bautista, Luis |
collection | PubMed |
description | Computer-Based training (CBT) is a widely used strategy in interactive learning and skills training to provide the trainee with information while in training. Extended Reality (XR) is a set of technologies used in the fourth industrial revolution for this purpose. However, an important XR limitation is the cognitive overload in trainees due to continuous changes in attention. The effects of the changes in attention on cognitive load have been studied in environments such as printed material and desktop PC’s. However, such effects are not yet fully known on XR platforms. This study’s aim was to identify strategies to reduce the changes in attention in instructional/educational materials, which use extended reality to present information to trainees. The presented information can guide the use of combined strategies to reduce the cognitive overload generated by XR display platforms. Therefore, an extensive literature review was carried out. From a set of 1946 articles, 53 studies were selected. The selected studies evaluated the cognitive load in instructional materials that used XR as a visualization platform. The results showed three strategy groups: those associated with the spatial integration of information, those associated with the use of visual features and those associated with the content segmentation. Effects of this strategies in the user performance and user cognitive load are discussed. |
format | Online Article Text |
id | pubmed-9741709 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Paris |
record_format | MEDLINE/PubMed |
spelling | pubmed-97417092022-12-12 Strategies to reduce visual attention changes while learning and training in extended reality environments Bautista, Luis Maradei, Fernanda Pedraza, Gabriel Int J Interact Des Manuf Original Paper Computer-Based training (CBT) is a widely used strategy in interactive learning and skills training to provide the trainee with information while in training. Extended Reality (XR) is a set of technologies used in the fourth industrial revolution for this purpose. However, an important XR limitation is the cognitive overload in trainees due to continuous changes in attention. The effects of the changes in attention on cognitive load have been studied in environments such as printed material and desktop PC’s. However, such effects are not yet fully known on XR platforms. This study’s aim was to identify strategies to reduce the changes in attention in instructional/educational materials, which use extended reality to present information to trainees. The presented information can guide the use of combined strategies to reduce the cognitive overload generated by XR display platforms. Therefore, an extensive literature review was carried out. From a set of 1946 articles, 53 studies were selected. The selected studies evaluated the cognitive load in instructional materials that used XR as a visualization platform. The results showed three strategy groups: those associated with the spatial integration of information, those associated with the use of visual features and those associated with the content segmentation. Effects of this strategies in the user performance and user cognitive load are discussed. Springer Paris 2022-12-11 2023 /pmc/articles/PMC9741709/ http://dx.doi.org/10.1007/s12008-022-01092-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Original Paper Bautista, Luis Maradei, Fernanda Pedraza, Gabriel Strategies to reduce visual attention changes while learning and training in extended reality environments |
title | Strategies to reduce visual attention changes while learning and training in extended reality environments |
title_full | Strategies to reduce visual attention changes while learning and training in extended reality environments |
title_fullStr | Strategies to reduce visual attention changes while learning and training in extended reality environments |
title_full_unstemmed | Strategies to reduce visual attention changes while learning and training in extended reality environments |
title_short | Strategies to reduce visual attention changes while learning and training in extended reality environments |
title_sort | strategies to reduce visual attention changes while learning and training in extended reality environments |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9741709/ http://dx.doi.org/10.1007/s12008-022-01092-9 |
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