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BRIEF RESEARCH REPORT article

Front. Psychol.
Sec. Environmental Psychology
Volume 15 - 2024 | doi: 10.3389/fpsyg.2024.1423837
This article is part of the Research Topic Advancements in Counting Large Crowds: a Technological and Socio-psychological Perspective View all articles

Crowd-Counting Technology within the Smart City Context: Understanding, Trust, and Acceptance

Provisionally accepted
Theresa Waclawek Theresa Waclawek Angela Fiedler Angela Fiedler *Melissa Schütz Melissa Schütz *Astrid Schütz Astrid Schütz *
  • University of Bamberg, Bamberg, Germany

The final, formatted version of the article will be published soon.

    In city centers worldwide, including the UNESCO World Heritage Site of Bamberg's old town in Germany, alleviating pedestrian overcrowding is a pressing concern. Leveraging crowd-counting technologies with real-time data collection offers promising solutions, yet poses challenges regarding data privacy and informed consent. This preregistered study examines public response to a Smart City Bamberg project aimed at addressing pedestrian congestion through crowd-counting methods. We investigate informed consent by looking at understanding and acceptance of the project, as well as influencing factors, such as effectiveness of project explanation and trust. Through a three-stage study comprising exploratory interviews, a field study, and an online study, we reveal that the focus of project explanations significantly impacts understanding: Functional explanations, emphasizing project purpose, enhance comprehension compared to mechanistic explanations detailing project components. Additionally, project trust positively correlates with acceptance. Notably, understanding impacts acceptance through increased project trust. These findings underscore the importance of fostering understanding to garner public acceptance of crowd-counting projects. It is important, especially in the case of projects which aim to improve quality of life while also prioritizing robust data protection, that decisions regarding informed consent are grounded in comprehension rather than on preconceived biases against data sharing. Efforts should prioritize effective explanations to bolster project trust and consequently, promote acceptance.

    Keywords: Smart city, urban overcrowding, crowd-counting technology, anonymization, Trust, explanation, understanding, acceptance

    Received: 26 Apr 2024; Accepted: 25 Oct 2024.

    Copyright: © 2024 Waclawek, Fiedler, Schütz and Schütz. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence:
    Angela Fiedler, University of Bamberg, Bamberg, Germany
    Melissa Schütz, University of Bamberg, Bamberg, Germany
    Astrid Schütz, University of Bamberg, Bamberg, Germany

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.