Combining Biosensing Technology and Virtual Environments for Improved Urban Planning

Zeile, Peter; Resch, Bernd

doi:10.1553/giscience2018_01_s344

Cited by 12 publications

(10 citation statements)

References 14 publications

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“…These new low-cost wearables are increasingly used in scientific studies in a variety of areas like health research, well-being assessment, disaster management, emotion information extraction and spatial emotion analysis, and stress detection [4,5,6,7,8,9,10,11,12,13]. However, some research efforts have used wearable physiological sensors without prior investigation of the sensor’s exact quality parameters, i.e., how accurately a sensor actually measures a given parameter or how reliable a sensor is in producing continuously high-quality measurement results.…”

Section: Introductionmentioning

confidence: 99%

Wearables and the Quantified Self: Systematic Benchmarking of Physiological Sensors

Sagl

Resch

Petutschnig

et al. 2019

Sensors

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Wearable sensors are increasingly used in research, as well as for personal and private purposes. A variety of scientific studies are based on physiological measurements from such rather low-cost wearables. That said, how accurate are such measurements compared to measurements from well-calibrated, high-quality laboratory equipment used in psychological and medical research? The answer to this question, undoubtedly impacts the reliability of a study’s results. In this paper, we demonstrate an approach to quantify the accuracy of low-cost wearables in comparison to high-quality laboratory sensors. We therefore developed a benchmark framework for physiological sensors that covers the entire workflow from sensor data acquisition to the computation and interpretation of diverse correlation and similarity metrics. We evaluated this framework based on a study with 18 participants. Each participant was equipped with one high-quality laboratory sensor and two wearables. These three sensors simultaneously measured the physiological parameters such as heart rate and galvanic skin response, while the participant was cycling on an ergometer following a predefined routine. The results of our benchmarking show that cardiovascular parameters (heart rate, inter-beat interval, heart rate variability) yield very high correlations and similarities. Measurement of galvanic skin response, which is a more delicate undertaking, resulted in lower, but still reasonable correlations and similarities. We conclude that the benchmarked wearables provide physiological measurements such as heart rate and inter-beat interval with an accuracy close to that of the professional high-end sensor, but the accuracy varies more for other parameters, such as galvanic skin response.

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Section: Introductionmentioning

confidence: 99%

Wearables and the Quantified Self: Systematic Benchmarking of Physiological Sensors

Sagl

Resch

Petutschnig

et al. 2019

Sensors

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“…Their study was the only one that combined these methods. Additionally, another study combined physiological sensors and first-person perspective videos in a virtual reality environment [ 43 ].…”

Section: Related Workmentioning

confidence: 99%

An Interdisciplinary Mixed-Methods Approach to Analyzing Urban Spaces: The Case of Urban Walkability and Bikeability

Resch

Puetz

Bluemke

et al. 2020

IJERPH

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Human-centered approaches are of particular importance when analyzing urban spaces in technology-driven fields, because understanding how people perceive and react to their environments depends on several dynamic and static factors, such as traffic volume, noise, safety, urban configuration, and greenness. Analyzing and interpreting emotions against the background of environmental information can provide insights into the spatial and temporal properties of urban spaces and their influence on citizens, such as urban walkability and bikeability. In this study, we present a comprehensive mixed-methods approach to geospatial analysis that utilizes wearable sensor technology for emotion detection and combines information from sources that correct or complement each other. This includes objective data from wearable physiological sensors combined with an eDiary app, first-person perspective videos from a chest-mounted camera, and georeferenced interviews, and post-hoc surveys. Across two studies, we identified and geolocated pedestrians’ and cyclists’ moments of stress and relaxation in the city centers of Salzburg and Cologne. Despite open methodological questions, we conclude that mapping wearable sensor data, complemented with other sources of information—all of which are indispensable for evidence-based urban planning—offering tremendous potential for gaining useful insights into urban spaces and their impact on citizens.

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“…Relevant research on this is being carried out in the field of cognitive sciences, where the perception of space while cycling is examined [28]. The study of Zeile and Resch [33] also shows that the emotional variations during cycling in the urban contexts depends on the traffic situation and street conditions. Using bio-sensing technologies, consequently, they quantify the extent to which society perceives hazards.…”

Section: Cycling Hazards and Their Perceptionmentioning

confidence: 99%

Approaching Bike Hazards via Crowdsourcing of Volunteered Geographic Information

Hologa

Riach

2020

Sustainability

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Information on individual hazard perception while cycling and the associated feeling of safety are key aspects to foster sustainable urban cycling mobility. Although cyclist’s perceptions must also be critically reviewed, such crowdsourced Volunteered Geographic Information (VGI) provides wide-ranging insights on diverse hazard categories in cycling. In this case study in the city of Freiburg, Germany, hazard perceptions, information about lane types, and the underlying routes were crowdsourced via an open source smartphone application by a small group with the aim of providing cyclists with effective solutions. By dealing with levels of reliability, we show that even a small group of laypersons can generate an extensive and valuable set of VGI consisting of comprehensive hazard categories. We demonstrate that (1) certain hazards are interlinked to specific lane types, and (2) the individual hazard perceptions and objective parameters, i.e., accident data, are often congruent spatially; consequently, (3) dangerous hot spots can be derived. By considering cyclists’ needs, this approach outlines how a people-based perspective can supplement regional planning on the local scale.

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Combining Biosensing Technology and Virtual Environments for Improved Urban Planning

Cited by 12 publications

References 14 publications

Wearables and the Quantified Self: Systematic Benchmarking of Physiological Sensors

Wearables and the Quantified Self: Systematic Benchmarking of Physiological Sensors

An Interdisciplinary Mixed-Methods Approach to Analyzing Urban Spaces: The Case of Urban Walkability and Bikeability

Approaching Bike Hazards via Crowdsourcing of Volunteered Geographic Information

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