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Mobile and other applications for mental imagery to improve learning disabilities and mental health

Authors: Drigas, Athanasios; Dede, Dimitra E.; Dedes, Spyros;

Mobile and other applications for mental imagery to improve learning disabilities and mental health

Abstract

Mental imagery is the mental ability for representing static or dynamic, mainly optical information in working memory. Mental imagery is involved in supporting mental operations as perception, strategic planning, concept formation, pattern recognition problem solving etc. and furthermore in dyslexia, dyscalculia and other learning disabilities. The usage of mobile and other applications to assess, intervene, and finally improve mental imagery abilities is under investigation in this article. Mental imagery via mobile tech apps can offer great opportunities to people who encounter many problems as far as concerned mental health and more specifically meliorate their mental state, brain activity, high spatial ability, development of their perception. In this paper we identified that advantage of technology through avatars, virtual reality and mobile devices. Mental imagery and mobile tech apps, are extremely beneficial in anxiety, stress disorders, depression, and people with brain injury or other disabilities.

Keywords

Mental Imagery, Technology, Avatars, Virtual Reality, Mobile

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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