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Detecting Covid-19 Relevant Situations using Privacy-by-Design based Mobile Experience Sampling
Hannes Restel
author
Eridy Lukau
author
Sebastian Sterl
author
Lars Gerhold
author
2022
Tarbes, France
English
To observe psychosocial effects of the Covid-19 pandemic on the population, multiple retrospective studies have been performed in Germany. However, this approach may lead to response bias regarding affective and cognitive processes as it fails to capture situations as they occur (in situ). Identifying those situations in daily life where individuals are emotionally and cognitively affected by Covid-19 can provide valuable insights for mobile experience sampling method studies (MESM) that evaluate participants affective and cognitive processes. This study presents an MESM solution (a self-developed smartphone app and server backend) to detect Covid-19 induced in-situ frames which was successfully used in a long-term psychosocial study in Berlin (Germany) from November 2021 to January 2022. As highly sensitive personal data (e.g., emotional state, vaccination status and infection state, socio-demographics) have been collected, the solution places a strong emphasis on privacy, pseudo-anonymization, data-minimization, and security. To support long-time motivation for the participants, good usability and user experience containing gamification elements were also realized. The results indicate that Covid-19-related situations expressed by means of a high emotional risk perception could be identified even though participants located themselves in rather Covid-19 free private spaces.
Mobile Experience Sampling Method
in-situ frames
Covid-19
Privacy-by-Design
risk perception
exported from refbase (http://idl.iscram.org/show.php?record=2436), last updated on Thu, 03 Nov 2022 22:08:12 +0100
text
http://idl.iscram.org/files/hannesrestel/2022/2436_HannesRestel_etal2022.pdf
HannesRestel_etal2022
ISCRAM 2022 Conference Proceedings – 19th International Conference on Information Systems for Crisis Response and Management
Iscram 2022
Rob Grace
editor
Hossein Baharmand
editor
2022
Tarbes, France
conference publication
506
527
978-82-8427-099-9
2411-3387
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