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ORIGINAL RESEARCH article
Front. Public Health
Sec. Environmental Health and Exposome
Volume 12 - 2024 |
doi: 10.3389/fpubh.2024.1468662
Exploring Air Pollution Awareness: Insights from Interviews with Technology Enthusiasts Using Wearable Monitoring Devices
Provisionally accepted- Department of Electronics, Information and Bioengineering, Polytechnic University of Milan, Milan, Lombardy, Italy
This study aims to investigate shifts in awareness regarding air pollution and its correlation with interest in using wearable devices for air quality monitoring. 16 healthy participants, predominantly engineers, residing or studying in Milan, were interviewed to assess their knowledge and interest in air pollution. Participants then walked a predefined route of 4.5 km in Milan while observing real-time air pollution data recorded by a wrist-worn wearable device. Post-walk interviews explored changes in awareness and enthusiasm for personal air quality monitoring. Results indicated widespread recognition of pollution sources, including industries, transportation, and agricultural activities, and health effects. Interestingly, reliance on sensory cues for air quality evaluation was prevalent among participants, underscoring a potential bias towards olfactory indicators. Despite interest in personal air quality monitoring, concerns regarding continuous monitoring leading to feelings of powerlessness and mental stress were noted. Nevertheless, participants expressed interest in actionable information to mitigate these concerns and promote lifestyle choices to decrease exposure to pollutants. Notably, a shift in awareness was observed following interaction with the monitoring device, indicating its potential to enhance public awareness and support for air quality policies. Findings underscore the importance of technological interventions in promoting public awareness and understanding of air pollution dynamics.
Keywords: Air Pollution Awareness, wearable devices, personal air pollution exposure monitoring, interviews, Technological interventions
Received: 23 Jul 2024; Accepted: 07 Nov 2024.
Copyright: © 2024 Bernasconi, Angelucci, Canali and Aliverti. 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:
Sara Bernasconi, Department of Electronics, Information and Bioengineering, Polytechnic University of Milan, Milan, 20133, Lombardy, Italy
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