Biosensing and geography: a mixed methods approach

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Biosensing and geography : a mixed methods approach. / Osborne, Tessa; Jones, Phil.

In: Applied Geography, Vol. 87, 10.2017, p. 160-169.

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@article{2c08856e106c4d84acfb3a048718691b,
title = "Biosensing and geography: a mixed methods approach",
abstract = "Biosensing measures of physiological (somatic) response offer a potentially powerful tool for capturing people{\textquoteright}s subconscious reactions to environmental stimuli. Combining biosensing with other techniques allows insights to be generated not only about the intensity of somatic response but also, crucially, the underlying causes of that response. Despite pioneering work in this area, a rigorous, empirically-led analysis of biosensing measures in mixed methods research has hitherto been lacking. We address this lacuna through a case study of urban walking, comparing a field-based study (30 participants) with a virtual exercise undertaken in a lab (25 participants). Combining biosensing with data on environmental stimuli (recorded using video/GPS) and interviews, three analytical modes are examined: biosensing-led; environment-led; and thematic-led. The analysis shows how each dataset can add contextualizing information to significant phenomena observed in the others. We demonstrate, however, that biosensing measures become considerably more difficult to interpret beyond the controlled environment of the lab. The paper concludes that biosensing should be seen as a valuable measure in field studies, but one which requires careful interpretation through other datasets, being of limited usefulness and reliability taken alone.",
keywords = "Biosensing, embodiment, mixed methods, electrodermal activity, urban walking",
author = "Tessa Osborne and Phil Jones",
year = "2017",
month = oct,
doi = "10.1016/j.apgeog.2017.08.006",
language = "English",
volume = "87",
pages = "160--169",
journal = "Applied Geography",
issn = "0143-6228",
publisher = "Elsevier Masson",

}

RIS

TY - JOUR

T1 - Biosensing and geography

T2 - a mixed methods approach

AU - Osborne, Tessa

AU - Jones, Phil

PY - 2017/10

Y1 - 2017/10

N2 - Biosensing measures of physiological (somatic) response offer a potentially powerful tool for capturing people’s subconscious reactions to environmental stimuli. Combining biosensing with other techniques allows insights to be generated not only about the intensity of somatic response but also, crucially, the underlying causes of that response. Despite pioneering work in this area, a rigorous, empirically-led analysis of biosensing measures in mixed methods research has hitherto been lacking. We address this lacuna through a case study of urban walking, comparing a field-based study (30 participants) with a virtual exercise undertaken in a lab (25 participants). Combining biosensing with data on environmental stimuli (recorded using video/GPS) and interviews, three analytical modes are examined: biosensing-led; environment-led; and thematic-led. The analysis shows how each dataset can add contextualizing information to significant phenomena observed in the others. We demonstrate, however, that biosensing measures become considerably more difficult to interpret beyond the controlled environment of the lab. The paper concludes that biosensing should be seen as a valuable measure in field studies, but one which requires careful interpretation through other datasets, being of limited usefulness and reliability taken alone.

AB - Biosensing measures of physiological (somatic) response offer a potentially powerful tool for capturing people’s subconscious reactions to environmental stimuli. Combining biosensing with other techniques allows insights to be generated not only about the intensity of somatic response but also, crucially, the underlying causes of that response. Despite pioneering work in this area, a rigorous, empirically-led analysis of biosensing measures in mixed methods research has hitherto been lacking. We address this lacuna through a case study of urban walking, comparing a field-based study (30 participants) with a virtual exercise undertaken in a lab (25 participants). Combining biosensing with data on environmental stimuli (recorded using video/GPS) and interviews, three analytical modes are examined: biosensing-led; environment-led; and thematic-led. The analysis shows how each dataset can add contextualizing information to significant phenomena observed in the others. We demonstrate, however, that biosensing measures become considerably more difficult to interpret beyond the controlled environment of the lab. The paper concludes that biosensing should be seen as a valuable measure in field studies, but one which requires careful interpretation through other datasets, being of limited usefulness and reliability taken alone.

KW - Biosensing

KW - embodiment

KW - mixed methods

KW - electrodermal activity

KW - urban walking

U2 - 10.1016/j.apgeog.2017.08.006

DO - 10.1016/j.apgeog.2017.08.006

M3 - Article

VL - 87

SP - 160

EP - 169

JO - Applied Geography

JF - Applied Geography

SN - 0143-6228

ER -