Urban Emotion Sensing Beyond 'Affective Capture': Advancing Critical Interdisciplinary Methods.


Journal

International journal of environmental research and public health
ISSN: 1660-4601
Titre abrégé: Int J Environ Res Public Health
Pays: Switzerland
ID NLM: 101238455

Informations de publication

Date de publication:
03 12 2020
Historique:
received: 15 10 2020
revised: 23 11 2020
accepted: 30 11 2020
entrez: 8 12 2020
pubmed: 9 12 2020
medline: 3 2 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 33287188
pii: ijerph17239003
doi: 10.3390/ijerph17239003
pmc: PMC7731212
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Jessica Pykett (J)

School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston B15 2TT, UK.

Benjamin W Chrisinger (BW)

Department of Social Policy and Intervention, University of Oxford, Oxford OX1 2ER, UK.

Kalliopi Kyriakou (K)

Department of Public Health Sciences, Institute for Risk Assessment Sciences, Utrecht University, 3584 CM Utrecht, The Netherlands.
Department of Geoinformatics, University of Salzburg, 5020 Salzburg, Austria.

Tess Osborne (T)

Population Research Centre, Faculty of Spatial Sciences, University of Groningen, 9700 Groningen, The Netherlands.

Bernd Resch (B)

Department of Geoinformatics, University of Salzburg, 5020 Salzburg, Austria.
Center for Geographic Analysis, Harvard University, Cambridge, MA 02138, USA.

Afroditi Stathi (A)

School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Edgbaston B15 2TT, UK.

Anna C Whittaker (AC)

Faculty of Health Sciences and Sport, University of Stirling, Stirling FK9 4LA, UK.

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Classifications MeSH