Hartner-Tiefenthaler, M., & Schöllbauer, J. (2023). App-based self-trainings targeting strain recovery and their effect on concentration. Scientific Reports, 13, Article 19860. https://doi.org/10.1038/s41598-023-45906-6
E330-01 - Forschungsbereich Arbeitswissenschaft und Organisation
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Journal:
Scientific Reports
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ISSN:
2045-2322
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Date (published):
13-Nov-2023
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Number of Pages:
13
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Publisher:
NATURE PORTFOLIO
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Peer reviewed:
Yes
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Keywords:
Humans; Surveys and Questionnaires; Intervention; Smartphone; Mobile Applications; COVID-19
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Abstract:
During the COVID-19 pandemic, many knowledge workers reported concentration problems. This can be seen as critical as concentration is an important indicator for both cognitive wellbeing and occupational success. Drawing on the load theory of selective attention, we argue that concentration problems can be caused by the strain workers experienced during the pandemic. Consequently, by associating impaired concentration with strain, we hypothesize that strengthening strain recovery is a method that potentially supports concentration in stressful times. We developed the smartphone app "swoliba" containing self-training exercises targeting recovery experiences and tested the benefit of this app with two intervention groups and one waitlist-control group. Participants of the intervention groups were asked to carry out the exercises accompanied by surveys throughout a period of 4 weeks in 2020/2021. Results show that participants in the intervention groups reported higher concentration levels and lower strain levels than those in the control group, and this beneficial effect on concentration is partially mediated via lower strain levels. We conclude that self-training apps can be an effective tool for recovery interventions reducing strain but also supporting concentration. Using two different intervention conditions, we can reliably demonstrate the beneficial effect of our swoliba training program.
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Project title:
Entgrenzte Arbeitswelt 4.0: Eine appbasierte Intervention zur Förderung von Erholung für Arbeitnehmer_innen: 11111111 (Vereine, Stiftungen, Preise)
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Research Areas:
Visual Computing and Human-Centered Technology: 60% Beyond TUW-research foci: 40%