Predictors of affect across social contexts: An integration of existing diary datasets

Daily life is characterized by periods of complete and public solitude, face-to-face interactions and digitally mediated interactions when alone or with others, all of which elicit varying degrees and different types of affect. This study aimed to provide a comprehensive understanding of affect during these distinct everyday contexts. By combining data from 11 distinct datasets, we examined how time spent in complete solitude (not interacting and with no-one around), digitally mediated interactions when alone, public solitude (not interacting but with others present), interacting face-to-face and digitally mediated interactions when with others, as well as individual differences in age and extraversion, were associated with four types of affect distinguished on two dimensions (arousal and valence) and loneliness. Results showed that prior face-to-face interactions were associated with increased high-arousal positive affect and decreased low-arousal positive affect. This research offers nuanced insights into how social and solitary contexts, personality and age contribute to everyday affective experiences.

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Publication Details

Journal
British Journal of Social Psychology
Published
2026-08-14
DOI
https://doi.org/10.1111/bjso.70124
Primary Topic
Impact of Technology on Adolescents
Type
article
Field-Weighted Citation Impact
0.00

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article

Predictors of affect across social contexts: An integration of existing diary datasets

Olga Stavrova, Dongning Ren, Netta Weinstein, Thuy-vy Thi Nguyen et al.
British Journal of Social Psychology
Impact of Technology on Adolescents
article

Predictors of affect across social contexts: An integration of existing diary datasets

Olga Stavrova, Dongning Ren, Netta Weinstein, Thuy-vy Thi Nguyen, Anna Tovmasyan, Kou Murayama, Dwight Tse, Denethri Gamagedara, Robert Coplan, Julie Bowker, Jennifer Lay, Virginia Thomas
article en

Abstract

Daily life is characterized by periods of complete and public solitude, face-to-face interactions and digitally mediated interactions when alone or with others, all of which elicit varying degrees and different types of affect. This study aimed to provide a comprehensive understanding of affect during these distinct everyday contexts. By combining data from 11 distinct datasets, we examined how time spent in complete solitude (not interacting and with no-one around), digitally mediated interactions when alone, public solitude (not interacting but with others present), interacting face-to-face and digitally mediated interactions when with others, as well as individual differences in age and extraversion, were associated with four types of affect distinguished on two dimensions (arousal and valence) and loneliness. Results showed that prior face-to-face interactions were associated with increased high-arousal positive affect and decreased low-arousal positive affect. This research offers nuanced insights into how social and solitary contexts, personality and age contribute to everyday affective experiences.

British Journal of Social PsychologyVol. 65(4)
Technische Hochschule Mannheim (DE), University of Mannheim (DE), University of Strathclyde (GB), Durham University (GB), Tilburg University (NL), Middlebury College (US), University of Exeter (GB), Maastricht University (NL), University of Oxford (GB), Science Oxford (GB), University at Buffalo, State University of New York (US), Carleton University (CA), University of Reading (GB), University of Tübingen (DE)
National Natural Science Foundation of China
Reduced inequalities
Openalex Percentile: Top 4%
Impact of Technology on Adolescents
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