Virtual environments as memory training devices in navigational tasks for older adults

This data was imported from PubMed:

Authors: Lokka, I.E., Çöltekin, A., Wiener, J., Fabrikant, S.I. and Röcke, C.

http://eprints.bournemouth.ac.uk/31104/

Journal: Sci Rep

Volume: 8

Issue: 1

Pages: 10809

eISSN: 2045-2322

DOI: 10.1038/s41598-018-29029-x

Cognitive training approaches using virtual environments (VEs) might counter age-related visuospatial memory decline and associated difficulties in wayfinding. However, the effects of the visual design of a VE in route learning are not fully understood. Therefore, we created a custom-designed VE optimized for route learning, with adjusted levels of realism and highlighted landmark locations (MixedVE). Herein we tested participants' route recall performance in identifying direction of turn at the intersection with this MixedVE against two baseline alternatives (AbstractVE, RealisticVE). An older vs. a younger group solved the tasks in two stages (immediate vs. delayed recall by one week). Our results demonstrate that the MixedVE facilitates better recall accuracy than the other two VEs for both age groups. Importantly, this pattern persists a week later. Additionally, our older participants were mostly overconfident in their route recall performance, but the MixedVE moderated this potentially detrimental overconfidence. Before the experiment, participants clearly preferred the RealisticVE, whereas after the experiment, most of the younger, and many of the older participants, preferred the MixedVE. Taken together, our findings provide insights into the importance of tailoring visualization design in route learning with VEs. Furthermore, we demonstrate the great potential of the MixedVE and by extension, of similar VEs as memory training devices for route learning, especially for older participants.

This data was imported from Scopus:

Authors: Lokka, I.E., Çöltekin, A., Wiener, J., Fabrikant, S.I. and Röcke, C.

http://eprints.bournemouth.ac.uk/31104/

Journal: Scientific Reports

Volume: 8

Issue: 1

eISSN: 2045-2322

DOI: 10.1038/s41598-018-29029-x

© 2018 The Author(s). Cognitive training approaches using virtual environments (VEs) might counter age-related visuospatial memory decline and associated difficulties in wayfinding. However, the effects of the visual design of a VE in route learning are not fully understood. Therefore, we created a custom-designed VE optimized for route learning, with adjusted levels of realism and highlighted landmark locations (MixedVE). Herein we tested participants' route recall performance in identifying direction of turn at the intersection with this MixedVE against two baseline alternatives (AbstractVE, RealisticVE). An older vs. a younger group solved the tasks in two stages (immediate vs. delayed recall by one week). Our results demonstrate that the MixedVE facilitates better recall accuracy than the other two VEs for both age groups. Importantly, this pattern persists a week later. Additionally, our older participants were mostly overconfident in their route recall performance, but the MixedVE moderated this potentially detrimental overconfidence. Before the experiment, participants clearly preferred the RealisticVE, whereas after the experiment, most of the younger, and many of the older participants, preferred the MixedVE. Taken together, our findings provide insights into the importance of tailoring visualization design in route learning with VEs. Furthermore, we demonstrate the great potential of the MixedVE and by extension, of similar VEs as memory training devices for route learning, especially for older participants.

This data was imported from Web of Science (Lite):

Authors: Lokka, I.E., Coltekin, A., Wiener, J., Fabrikant, S.I. and Rocke, C.

http://eprints.bournemouth.ac.uk/31104/

Journal: SCIENTIFIC REPORTS

Volume: 8

ISSN: 2045-2322

DOI: 10.1038/s41598-018-29029-x

The data on this page was last updated at 04:51 on December 12, 2018.