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3. Promise into Practice: Application of Computer Vision in Empirical Research on Social Distancing

Author

Bernasco, Wim, Hoeben, Evelien M., Koelma, Dennis, Liebst, Lasse Suonperä, Thomas, Josephine, Appelman, Joska, Snoek, Cees G. M., and Lindegaard, Marie Rosenkrantz

Abstract

Social scientists increasingly use video data, but large-scale analysis of its content is often constrained by scarce manual coding resources. Upscaling may be possible with the application of automated coding procedures, which are being developed in the field of computer vision. Here, we introduce computer vision to social scientists, review the state-of-the-art in relevant subfields, and provide a working example of how computer vision can be applied in empirical sociological work. Our application involves defining a ground truth by human coders, developing an algorithm for automated coding, testing the performance of the algorithm against the ground truth, and running the algorithm on a large-scale dataset of CCTV images. The working example concerns monitoring social distancing behavior in public space over more than a year of the COVID-19 pandemic. Finally, we discuss prospects for the use of computer vision in empirical social science research and address technical and ethical challenges.

Published
2023
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41. Promise Into Practice: Application of Computer Vision in Empirical Research on Social Distancing.

Author

Bernasco, Wim, M. Hoeben, Evelien, Koelma, Dennis, Liebst, Lasse Suonperä, Thomas, Josephine, Appelman, Joska, Snoek, Cees G. M., and Lindegaard, Marie Rosenkrantz

Subjects
*SOCIAL distancing, *IMAGE compression, *APPLICATION software, *SOCIAL science research, *COMPUTER vision, *EMPIRICAL research, *SOCIAL scientists
Abstract

Social scientists increasingly use video data, but large-scale analysis of its content is often constrained by scarce manual coding resources. Upscaling may be possible with the application of automated coding procedures, which are being developed in the field of computer vision. Here, we introduce computer vision to social scientists, review the state-of-the-art in relevant subfields, and provide a working example of how computer vision can be applied in empirical sociological work. Our application involves defining a ground truth by human coders, developing an algorithm for automated coding, testing the performance of the algorithm against the ground truth, and running the algorithm on a large-scale dataset of CCTV images. The working example concerns monitoring social distancing behavior in public space over more than a year of the COVID-19 pandemic. Finally, we discuss prospects for the use of computer vision in empirical social science research and address technical and ethical challenges. [ABSTRACT FROM AUTHOR]

Published
2023
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46. Editors’ Introduction

Author

Bernasco, Wim, Elffers, Henk, van Gelder, Jean-Louis, Bernasco, Wim, book editor, van Gelder, Jean-Louis, book editor, and Elffers, Henk, book editor

Published
2017
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