The influence of urban visuospatial configuration on older adults’ stress: A wearable physiological-perceived stress sensing and data mining based-approach

Torku, Alex; Chan, Albert P.C.; Yung, Esther H.K.; Seo, Jongbum

doi:10.1016/j.buildenv.2021.108298

Cited by 14 publications

(8 citation statements)

References 74 publications

(116 reference statements)

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“…Theoretically, high demand conditions could result in stress which is reflected in the bodily responses (Lawton, 1982; Mair et al, 2011; Mollenkopf et al, 2006; Webber et al, 2010). Therefore, the authors deployed and tested the discrimination performance of five different supervised learning algorithms—Decision tree (J48), k -nearest neighbor (kNN), Naïve Bayes, support vector machine (SVM), and Random Forest—that have been used in previous studies to detect stress from bodily responses (Jebelli et al, 2018; Torku et al, 2021). The information mining approach was used to identify the optimum feature subset with the most information about human interaction with high demand and low demand environmental conditions.…”

Section: Methodsmentioning

confidence: 99%

“…Several theoretical frameworks have conceptualized that outdoor mobility is determined by the complex interactions between individual capabilities and environmental demand (Lawton, 1982; Verbrugge, 2020; Webber et al, 2010; WHO, 2001). Environmental demand is the combined impact of environmental elements to produce expectations for certain human actions and reactions (Hagedorn, 2001; Torku et al, 2021). Outdoor mobility is realized when an individual’s capability meets the environmental demand.…”

Section: Theoretical Mechanism: Human-environment Interactionmentioning

confidence: 99%

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Wearable Sensing and Mining of the Informativeness of Older Adults’ Physiological, Behavioral, and Cognitive Responses to Detect Demanding Environmental Conditions

Torku

Chan

Yung

et al. 2022

Environment and Behavior

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Due to the decline in functional capability, older adults are more likely to encounter excessively demanding environmental conditions (that result in stress and/or mobility limitation) than the average person. Current efforts to detect such environmental conditions are inefficient and are not person-centered. This study presents a more efficient and person-centered approach that involves using wearable sensors to collect continuous bodily responses (i.e., electroencephalography, photoplethysmography, electrodermal activity, and gait) and location data from older adults to detect demanding environmental conditions. Computationally, this study developed a Random Forest algorithm—considering the informativeness of the bodily response—and a hot spot analysis-based approach to identify environmental locations with high demand. The approach was tested on data collected from 10 older adults during an outdoor environmental walk. The findings demonstrate that the proposed approach can detect demanding environmental conditions that are likely to result in stress and/or limited mobility for older adults.

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Section: Methodsmentioning

confidence: 99%

Section: Theoretical Mechanism: Human-environment Interactionmentioning

confidence: 99%

Wearable Sensing and Mining of the Informativeness of Older Adults’ Physiological, Behavioral, and Cognitive Responses to Detect Demanding Environmental Conditions

Torku

Chan

Yung

et al. 2022

Environment and Behavior

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“…GIS-based assessment enables an objective assessment of the built environment dispersed across a large area [30]. The fourth category of assessment approach involves data collected from users' direct bodily responses to assess the built environment objectively and continuously [40][41][42][43][44]. The bodily responses (i.e., physiological, behavioural, or cognitive responses) collected using sensing technologies are spatially matched with GPS data to assess the built environment.…”

Section: Assessing the Built Environment To Promote Mobilitymentioning

confidence: 99%

“…In recent years, an increasing number of studies have measured human physiological signals from wireless sensors worn on the wrist. For example [41][42][43]59], and [44] monitored people's physiological response from wristband type sensors in ambulatory, real-world settings. These earlier studies prove that physiological signals can be monitored from wristband-type sensors in an ambulatory, real-world setting and can be extended to capture older adults' stressful environmental conditions.…”

Section: Wearable Technology For Older Adults In a Real-world Ambulat...mentioning

confidence: 99%

Detecting stressful older adults-environment interactions to improve neighbourhood mobility: A multimodal physiological sensing, machine learning, and risk hotspot analysis-based approach

Torku

Chan

Yung

et al. 2022

Building and Environment

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“…New methods utilizing smartphones and other wearable sensors for tracking people moving through urban environments while collecting subjective and objective indicators of their experiences (e.g. Shoval et al, 2018;Torku et al, 2021) could, if combined with street network measurements, further research around what the systemic spatial conditions are that create stress in urban life.…”

Section: The Psychological Perspective: Individuals' Experiences and Subjective Well-beingmentioning

confidence: 99%

The Topodiverse City: Urban Form for Subjective Well-Being

Samuelsson

2021

Front. Built Environ.

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Research is now better than ever able to unveil how urban inhabitants’ movement, behavior and experiences relate to the urban forms in which they take place. Consequently, urban form might increasingly be able to function as a focal point for different strands of research that focus on sustainable urban life, and as a link between research and planning practice through the development of empirically informed design principles. Drawing on literature from urban morphology, complex systems analysis, environmental psychology, and neuroscience, I provide a wide-angle view of how urban form relates to subjective well-being through movement, social and economic activity, experiences and psychological restoration. I propose three principles for urban form that could promote subjective well-being while also mitigating the environmental impact of cities in industrialized societies. The principles revolve around so-called topodiversity, meaning variation across an urban area in spatial conditions that allows subjective well-being to be promoted through several different pathways. The principles together suggest an urban form that I call the topodiverse city. The topodiverse city displays a polycentric structure and is more spatially contained than the sprawling city, yet not as compact as the dense city. I also propose indicators to measure the principles using mostly openly available data and analysis methods, to further research on how urban form can enable urban subjective well-being with low environmental impact.

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The influence of urban visuospatial configuration on older adults’ stress: A wearable physiological-perceived stress sensing and data mining based-approach

Cited by 14 publications

References 74 publications

Wearable Sensing and Mining of the Informativeness of Older Adults’ Physiological, Behavioral, and Cognitive Responses to Detect Demanding Environmental Conditions

Wearable Sensing and Mining of the Informativeness of Older Adults’ Physiological, Behavioral, and Cognitive Responses to Detect Demanding Environmental Conditions

Detecting stressful older adults-environment interactions to improve neighbourhood mobility: A multimodal physiological sensing, machine learning, and risk hotspot analysis-based approach

The Topodiverse City: Urban Form for Subjective Well-Being

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