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Böhm, Victoria ; Wolff, Christian ; Geiselhart, Corinna ; Karl, Eric ; Kleindienst, Nina

Investigating Barriers for the Adoption of the German Contact-Tracing App and the Influence of a Video Intervention on User Acceptance

Böhm, Victoria, Wolff, Christian , Geiselhart, Corinna, Karl, Eric and Kleindienst, Nina (2021) Investigating Barriers for the Adoption of the German Contact-Tracing App and the Influence of a Video Intervention on User Acceptance. In: MuC '21: Mensch und Computer 2021, September 5 - 8, 2021, Ingolstadt, Germany.

Date of publication of this fulltext: 10 Feb 2022 05:20
Conference or workshop item
DOI to cite this document: 10.5283/epub.51587


Abstract

Despite the efforts that were put into data protection and data security, the overall adoption rate of the German contact-tracing app falls behind the estimated threshold of 60 percent which would be needed to suppress the virus effectively. Therefore, we conducted a questionnaire-based study to analyze barriers for the acceptance and to investigate the effect of a video intervention on the ...

Despite the efforts that were put into data protection and data security, the overall adoption rate of the German contact-tracing app falls behind the estimated threshold of 60 percent which would be needed to suppress the virus effectively. Therefore, we conducted a questionnaire-based study to analyze barriers for the acceptance and to investigate the effect of a video intervention on the acceptance. Acceptance was measured using the technology acceptance model [15]. TAM measures were collected before and after watching the video intervention. Qualitative data on attitudes about the app was gathered through open questions and attitudinal items. 81 datasets from users with no prior experience were included in the further analysis. Results show that the video intervention did not increase behavioral intention (BI) significantly. However, the average scores of two important determinants of BI, Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) increased significantly from 4.00 to 4.61 for PEOU (p<.00) and from 1.93 to 2.16 for PU (p<.001) with high and medium effect sizes. Qualitative data analysis indicates that the main barriers for adoption are perceived high risks and costs but low perceived personal benefits. One third of respondents (27/81) have privacy concerns and more than 40 percent of participants state they see "no benefits"(36/81).



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Details

Item typeConference or workshop item (Paper)
ISBN978-1-4503-8645-6
Title of Book:MuC '21: Proceedings of Mensch und Computer 2021
Publisher:Association for Computing Machinery
Place of Publication:New York, United States
Page Range:pp. 330-337
Date13 September 2021
InstitutionsLanguages and Literatures > Institut für Information und Medien, Sprache und Kultur (I:IMSK) > Lehrstuhl für Medieninformatik (Prof. Dr. Christian Wolff)
Informatics and Data Science > Department Human-Centered Computing > Lehrstuhl für Medieninformatik (Prof. Dr. Christian Wolff)
Identification Number
ValueType
10.1145/3473856.3474017DOI
Keywordscontact-tracing app, acceptance barriers, technology acceptance model
Dewey Decimal Classification000 Computer science, information & general works > 004 Computer science
StatusPublished
RefereedYes, this version has been refereed
Created at the University of RegensburgYes
URN of the UB Regensburgurn:nbn:de:bvb:355-epub-515878
Item ID51587

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