How to increase the acceptance of mobile app and sensor data collection?

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Principal investigator:

Alexander Wenz

University of Mannheim

Email: a.wenz@uni-mannheim.de

Homepage: https://www.wenzalexander.com/


Sample size: 1876

Field period: 04/27/2021-08/24/2021

Abstract
To study human behavior, social scientists are increasingly collecting data from mobile apps and sensors embedded in smartphones. A major challenge of studies implemented on general population samples, however, is that participation rates are rather low. While previous research has started to investigate the factors affecting individuals’ decision to participate in such studies, less is known about features of the study design which are under the researcher’s control and can increase the acceptance of smartphone-based data collection methods. Guided by the Technology Acceptance Model, we varied study characteristics in a vignette experiment to examine their effect on individuals’ willingness to download a research app on their smartphone. Data were collected from 1,876 members of the NORC AmeriSpeak Panel, a probability-based panel of the general population aged 18+ in the United States. Respondents were randomly assigned to eight vignettes and, after each vignette, were asked to rate their willingness to participate in the described hypothetical study. The results show that individuals are more willing to participate in smartphone-based studies where they have some control over the data collection process, either by having the option to temporarily switch off the data collection or to review the data before submission. Furthermore, they are more willing to participate in research to which they are invited via postal letter rather than receiving a postal letter plus a phone call from an interviewer who walks them through the app installation. Finally, unconditional incentives increase their willingness to engage with smartphone-based data collection over conditional incentives.
Hypotheses
Experimental Manipulations

The vignettes contained descriptions of hypothetical studies that would invite respondents to download a research app on their smartphone. Respondents who reported not using a smartphone were informed that they would be provided with a device for the purpose of the study. The research app would administer survey questions about individuals’ time use and collect data about the technical characteristics of their phone, whether their phone is currently in motion, their current location, what apps are used and what websites are visited, as well as the number of incoming and outgoing phone calls and text messages on their phone.

Five study characteristics were randomly varied in the vignettes:

  1. Data protection and privacy statement
    Easy
    The study would be in line with U.S. regulations about data protection and privacy. All information collected by the research app would be confidential. It would only be used by the researchers and they would not share your individual data with anyone else. The researchers would write publications about the overall results of the study. They would also present the findings at international conferences.

    Difficult
    The study would be in compliance with prevailing U.S. data protection and privacy regulations and several procedures would be in place to preserve the confidentiality of all information collected by the research app. Any data collected would only be used by the principal investigators and would not be shared with any other parties. Aggregated study findings would be disseminated through publications and international conferences.

  2. Technical support during app installation
    Yes
    You would receive a letter and a phone call from an interviewer who would walk you through all steps to install the app. They would also show you how to use the app and answer any questions you may have.

    No
    You would receive a letter with login details and a link to the app store where you could install the app. The letter would also contain instructions on how to use the app.

  3. Control over data collection
    Turn off data collection
    The research app would allow you to switch it off at times when you do not want it to collect any data from your smartphone. However, it would be important for this study that you use this option only in rare cases and for short periods.

    Review data before submission
    The research app would allow you to review the data that have been collected and you would have the option to delete specific data points when you do not want them to be transmitted to the researcher. However, it would be important for this study that you use this option only in rare cases.

    No
    There would be no option to switch the research app on and off during the course of the study.

  4. Monetary incentive
    Unconditional
    You would receive $20 enclosed in the invitation letter as a token of appreciation for your time.

    Conditional with incremental amount
    You would receive $6 for downloading the app and $1 for every day that you leave the app installed on your smartphone, resulting in a maximum amount of $20.

    Conditional with fixed amount
    You would receive $20 for downloading the app and leaving it installed on your smartphone until the end of the study.

  5. Feedback
    Yes
    You would also receive a personal summary of your results at the end of the study.

    No
Outcomes
Willingness to download research app (“How likely is it that you would download the app to participate in this research study?”) on an 11-point scale (“0 Definitely would not participate” to “10 Definitely would participate”)
Summary of Results
References

Wenz, A. & Keusch, F. (in press). Increasing the acceptance of smartphone-based data collection. Public Opinion Quarterly.

Wenz, A. & Keusch, F. (2022). “How to increase the acceptance of mobile app and sensor data collection?” Paper presented at the General Online Research Conference, Berlin, Germany, September 7-9, 2022.

Wenz, A. & Keusch, F. (2022). Wie lässt sich die Akzeptanz von Smartphone-Datenerhebungen erhöhen? [How to increase the acceptance of smartphone-based data collection?] Paper presented at the Spring Conference of the Section “Methods of Empirical Social Research” of the German Sociological Association, Virtual, March 25-26, 2022.