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Verfasst von:Roos, Yannick [VerfasserIn]   i
 Krämer, Michael [VerfasserIn]   i
 Richter, David [VerfasserIn]   i
 Schoedel, Ramona [VerfasserIn]   i
 Wrzus, Cornelia [VerfasserIn]   i
Titel:Does your smartphone “know” your social life?
Titelzusatz:A methodological comparison of day reconstruction, experience sampling, and mobile sensing
Verf.angabe:Yannick Roos, Michael D. Krämer, David Richter, Ramona Schoedel, and Cornelia Wrzus
E-Jahr:2023
Jahr:July/September 2023
Umfang:12 S.
Illustrationen:Illustrationen
Fussnoten:Gesehen am 19.10.2023
Titel Quelle:Enthalten in: Advances in methods and practices in psychological science
Ort Quelle:Thousand Oaks, CA : Sage Publishing, 2018
Jahr Quelle:2023
Band/Heft Quelle:6(2023), 3 vom: Juli/Sept., Seite 1-12
ISSN Quelle:2515-2467
Abstract:Mobile sensing is a promising method that allows researchers to directly observe human social behavior in daily life using people’s mobile phones. To date, limited knowledge exists on how well mobile sensing can assess the quantity and quality of social interactions. We therefore examined the agreement among experience sampling, day reconstruction, and mobile sensing in the assessment of multiple aspects of daily social interactions (i.e., face-to-face interactions, calls, and text messages) and the possible unique access to social interactions that each method has. Over 2 days, 320 smartphone users (51% female, age range = 18-80, M = 39.53 years) answered up to 20 experience-sampling questionnaires about their social behavior and reconstructed their days in a daily diary. Meanwhile, face-to-face and smartphone-mediated social interactions were assessed with mobile sensing. The results showed some agreement between measurements of face-to-face interactions and high agreement between measurements of smartphone-mediated interactions. Still, a large number of social interactions were captured by only one of the methods, and the quality of social interactions is still difficult to capture with mobile sensing. We discuss limitations and the unique benefits of day reconstruction, experience sampling, and mobile sensing for assessing social behavior in daily life.
DOI:doi:10.1177/25152459231178738
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

kostenfrei: Volltext: https://dx.doi.org/10.1177/25152459231178738
 kostenfrei: Volltext: https://journals.sagepub.com/doi/full/10.1177/25152459231178738
 DOI: https://doi.org/10.1177/25152459231178738
Datenträger:Online-Ressource
Sprache:eng
K10plus-PPN:1866412590
Verknüpfungen:→ Zeitschrift

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