Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/32118
Appears in Collections:Faculty of Health Sciences and Sport Journal Articles
Peer Review Status: Refereed
Title: Urban emotion sensing beyond 'affective capture': Advancing critical interdisciplinary methods
Author(s): Pykett, Jessica
Chrisinger, Benjamin W
Kyriakou, Kalliopi
Osborne, Tess
Resch, Bernd
Stathi, Afroditi
Whittaker, Anna C
Keywords: biosensing
mobile methods
urban wellbeing
interdisciplinarity
Issue Date: Dec-2020
Date Deposited: 22-Dec-2020
Citation: Pykett J, Chrisinger BW, Kyriakou K, Osborne T, Resch B, Stathi A & Whittaker AC (2020) Urban emotion sensing beyond 'affective capture': Advancing critical interdisciplinary methods. International Journal of Environmental Research and Public Health, 17 (23), Art. No.: 9003. https://doi.org/10.3390/ijerph17239003
Abstract: The use of mobile sensor methodologies in urban analytics to study ‘urban emotions’ is currently outpacing the science required to rigorously interpret the data generated. Interdisciplinary research on ‘urban stress’ could help inform urban wellbeing policies relating to healthier commuting and alleviation of work stress. The purpose of this paper is to address—through methodological experimentation—ethical, political and conceptual issues identified by critical social scientists with regards to emotion tracking, wearables and data analytics. We aim to encourage more dialogue between the critical approach and applied environmental health research. The definition of stress is not unambiguous or neutral and is mediated by the very technologies we use for research. We outline an integrative methodology in which we combine pilot field research using biosensing technologies, a novel method for identifying ‘moments of stress’ in a laboratory setting, psychometric surveys and narrative interviews on workplace and commuter stress in urban environments.
DOI Link: 10.3390/ijerph17239003
Rights: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Licence URL(s): http://creativecommons.org/licenses/by/4.0/

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