New Technologies for the Understanding, Assessment, and Intervention of Emotion Regulation.

biofeedback emotion regulation internet interventions serious games smartphones virtual reality

Journal

Frontiers in psychology
ISSN: 1664-1078
Titre abrégé: Front Psychol
Pays: Switzerland
ID NLM: 101550902

Informations de publication

Date de publication:
2019
Historique:
received: 21 07 2018
accepted: 13 05 2019
entrez: 6 7 2019
pubmed: 6 7 2019
medline: 6 7 2019
Statut: epublish

Résumé

In the last decades, emotion regulation (ER) received increasing attention and became one of the most studied topics within the psychological field. Nevertheless, this construct has not been fully updated with the latest technological advancements. In this perspective, we will show how diverse technologies, such as virtual reality (VR), wearable biosensors, smartphones, or biofeedback techniques, can be applied to the understanding, assessment, and intervention of ER. After providing a brief overview of the currently available technological developments, we will discuss the benefits of incorporating new technologies in ER field, including ecological validity, intervention personalization, and the integration of understudied facets of ER, such as the implicit and interpersonal dimension.

Identifiants

pubmed: 31275191
doi: 10.3389/fpsyg.2019.01261
pmc: PMC6591314
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1261

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Auteurs

Desirée Colombo (D)

Department of Basic Psychology, Clinical and Psychobiology, Jaume I University, Castellón de la Plana, Spain.

Javier Fernández-Álvarez (J)

Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy.

Azucena García Palacios (A)

Department of Basic Psychology, Clinical and Psychobiology, Jaume I University, Castellón de la Plana, Spain.
CIBER of Physiopathology of Obesity and Nutrition, Madrid, Spain.

Pietro Cipresso (P)

Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy.
Applied Technology for Neuro-Psychology Laboratory, Istituto Auxologico Italiano (IRCCS), Milan, Italy.

Cristina Botella (C)

Department of Basic Psychology, Clinical and Psychobiology, Jaume I University, Castellón de la Plana, Spain.
CIBER of Physiopathology of Obesity and Nutrition, Madrid, Spain.

Giuseppe Riva (G)

Department of Psychology, Università Cattolica del Sacro Cuore, Milan, Italy.
Applied Technology for Neuro-Psychology Laboratory, Istituto Auxologico Italiano (IRCCS), Milan, Italy.

Classifications MeSH