Labor/leisure decisions in their natural context: The case of the smartphone.


Journal

Psychonomic bulletin & review
ISSN: 1531-5320
Titre abrégé: Psychon Bull Rev
Pays: United States
ID NLM: 9502924

Informations de publication

Date de publication:
Apr 2021
Historique:
accepted: 01 11 2020
pubmed: 22 11 2020
medline: 13 7 2021
entrez: 21 11 2020
Statut: ppublish

Résumé

In this research, we attempt to understand a common real-life labor/leisure decision, i.e., to perform cognitive work or to interact with one's smartphone. In an ecologically valid experiment, participants (N = 112) could freely switch back and forth between doing a 2-back task and interacting with their own smartphone. We manipulated the value of the 2-back task (by varying the value of monetary rewards; within-subjects) and of the smartphone (by switching on and off airplane mode; within-subjects) while we recorded incoming notifications, such as text messages. Our study produced three main findings: (1) the current value of the smartphone did not increase our statistical model's ability to predict switches from labor to leisure when the current task value was also taken into account; (2) however, participants reacted strongly to naturally incoming notifications, which were the strongest predictor of labor-to-leisure switches; (3) there was no evidence that taking into account individual differences (in the value assigned to labor and leisure) improved the model's ability to predict labor-leisure switches. In sum, using a situated approach to studying labor/leisure decisions, our findings highlight the importance of high task motivation, as well as the temporary distractive potential of smartphone notifications, when people face the challenge of staying focused on their productive tasks.

Identifiants

pubmed: 33219457
doi: 10.3758/s13423-020-01844-2
pii: 10.3758/s13423-020-01844-2
pmc: PMC8062367
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

676-685

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Auteurs

Jonas Dora (J)

Behavioural Science Institute, Radboud University, P.O. Box 9104, 6500 HE, Nijmegen, The Netherlands. j.dora@psych.ru.nl.

Madelon van Hooff (M)

Behavioural Science Institute, Radboud University, P.O. Box 9104, 6500 HE, Nijmegen, The Netherlands.

Sabine Geurts (S)

Behavioural Science Institute, Radboud University, P.O. Box 9104, 6500 HE, Nijmegen, The Netherlands.

Michiel Kompier (M)

Behavioural Science Institute, Radboud University, P.O. Box 9104, 6500 HE, Nijmegen, The Netherlands.

Erik Bijleveld (E)

Behavioural Science Institute, Radboud University, P.O. Box 9104, 6500 HE, Nijmegen, The Netherlands.

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Classifications MeSH