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Concept, Possibilities and Pilot-Testing of a New Smartphone Application for the Social and Life Sciences to Study Human Behavior Including Validation Data from Personality Psychology

Author

Listed:
  • Christian Montag

    (Institute of Psychology and Education, Ulm University, 89081 Ulm, Germany)

  • Harald Baumeister

    (Institute of Psychology and Education, Ulm University, 89081 Ulm, Germany)

  • Christopher Kannen

    (Independent Researcher)

  • Rayna Sariyska

    (Institute of Psychology and Education, Ulm University, 89081 Ulm, Germany)

  • Eva-Maria Meßner

    (Institute of Psychology and Education, Ulm University, 89081 Ulm, Germany)

  • Matthias Brand

    (General Psychology: Cognition and Center for Behavioral Addiction Research (CeBAR), University of Duisburg-Essen, 47048 Duisburg, Germany)

Abstract

With the advent of the World Wide Web, the smartphone and the Internet of Things, not only society but also the sciences are rapidly changing. In particular, the social sciences can profit from these digital developments, because now scientists have the power to study real-life human behavior via smartphones and other devices connected to the Internet of Things on a large-scale level. Although this sounds easy, scientists often face the problem that no practicable solution exists to participate in such a new scientific movement, due to a lack of an interdisciplinary network. If so, the development time of a new product, such as a smartphone application to get insights into human behavior takes an enormous amount of time and resources. Given this problem, the present work presents an easy way to use a smartphone application, which can be applied by social scientists to study a large range of scientific questions. The application provides measurements of variables via tracking smartphone–use patterns, such as call behavior, application use (e.g., social media), GPS and many others. In addition, the presented Android-based smartphone application, called Insights , can also be used to administer self-report questionnaires for conducting experience sampling and to search for co-variations between smartphone usage/smartphone data and self-report data. Of importance, the present work gives a detailed overview on how to conduct a study using an application such as Insights , starting from designing the study, installing the application to analyzing the data. In the present work, server requirements and privacy issues are also discussed. Furthermore, first validation data from personality psychology are presented. Such validation data are important in establishing trust in the applied technology to track behavior. In sum, the aim of the present work is (i) to provide interested scientists a short overview on how to conduct a study with smartphone app tracking technology, (ii) to present the features of the designed smartphone application and (iii) to demonstrate its validity with a proof of concept study, hence correlating smartphone usage with personality measures.

Suggested Citation

  • Christian Montag & Harald Baumeister & Christopher Kannen & Rayna Sariyska & Eva-Maria Meßner & Matthias Brand, 2019. "Concept, Possibilities and Pilot-Testing of a New Smartphone Application for the Social and Life Sciences to Study Human Behavior Including Validation Data from Personality Psychology," J, MDPI, vol. 2(2), pages 1-14, March.
  • Handle: RePEc:gam:jjopen:v:2:y:2019:i:2:p:8-115:d:217645
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    References listed on IDEAS

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    1. Christian Montag & Sarah Diefenbach, 2018. "Towards Homo Digitalis: Important Research Issues for Psychology and the Neurosciences at the Dawn of the Internet of Things and the Digital Society," Sustainability, MDPI, vol. 10(2), pages 1-21, February.
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    Cited by:

    1. Humaira Kamal Pasha, 2024. "Smart access and smart protection for welfare gain in Europe during COVID‐19: An empirical investigation using real‐time data," Bulletin of Economic Research, Wiley Blackwell, vol. 76(1), pages 41-66, January.

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