Crowdsourcing Physiological Conditions and Subjective Emotions by Coupling Technical and Human Mobile Sensors

Resch, Bernd; Sudmanns, Martin; Sagl, Günther; Summa, Anja; Zeile, Peter; Exner, Jan–Philipp

doi:10.1553/giscience2015s514

Cited by 27 publications

(24 citation statements)

References 11 publications

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“…The Urban Emotion Research Lab developed a methodology for the extraction of contextual emotion information for decision support in spatial planning which enabled crowdsourcing physiological conditions (technical sensors measuring psycho-physiological parameters) and subjective emotions (human sensors contributing subjectively perceived emotions) [26][27][28]. Drawing on this work, Hauthal and Burghardt [29] and Aiello et al [30] both extract location-based emotions from photo titles, descriptions, and tags from Panoramio and Flickr respectively to generate maps of specific streets within various cities with emotional attributes.…”

Section: Digital Tools As Means For Measuring Emotionsmentioning

confidence: 99%

Engaging the Senses: The Potential of Emotional Data for Participation in Urban Planning

Fathullah¹,

Willis²

2018

Urban Science

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This paper presents an exploratory study on the potential for sharing urban data; one where citizens create their own data and use it to understand and influence urban planning decisions. The aim of the study is to explore new models of participation through the sharing of emotional data and focuses on the relationship between the physical space and emotions through identifying the links between stress levels and specific features of the urban environment. It addresses the problem in urban planning that, while people's emotional connection with the physical urban setting is often valued, it is rarely recognised or used as a source of data to understand future decision making. The method involved participants using a (GSR) device linked to location data to measure participant's emotional responses along a walking route in a city centre environment. Results show correlations between characteristics of the urban environment and stress levels, as well as how specific features of the city spaces create stress 'peaks'. In the discussion we review how the data obtained could contribute to citizens creating their own information layer-an emotional layer-that could inform a shared approach to participation in urban planning decision-making. The future implications of the application of this method as an approach to public participation in urban planning are also considered.

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Section: Digital Tools As Means For Measuring Emotionsmentioning

confidence: 99%

Engaging the Senses: The Potential of Emotional Data for Participation in Urban Planning

Fathullah¹,

Willis²

2018

Urban Science

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“…In recent years, along with the development of information technology, relevant computer-aided methods have been gradually introduced into the fields of urban planning and design [22][23][24]. Some novel methods aimed at understanding how people perceive cities have been tested, such as extracting semantics from locations using photo tags from Flickr [25] and gauging crowd emotion and its spatio-temporal distribution from Twitter data [26,27].Crowdsourcing physiological conditions by combining data from technical sensors and human sensors could also extend the collection of emotional information in urban studies [28]. Such methods are convenient for comprehensively analyzing urban spatial environments for determining the correlations between various spatial attributes and peoples' behavior and for evaluating and optimizing design schemes.…”

Section: Introductionmentioning

confidence: 99%

Assessing Essential Qualities of Urban Space with Emotional and Visual Data Based on GIS Technique

Hijazi

König

et al. 2016

IJGI

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Abstract:Finding a method to evaluate people's emotional responses to urban spaces in a valid and objective way is fundamentally important for urban design practices and related policy making. Analysis of the essential qualities of urban space could be made both more effective and more accurate using innovative information techniques that have become available in the era of big data. This study introduces an integrated method based on geographical information systems (GIS) and an emotion-tracking technique to quantify the relationship between people's emotional responses and urban space. This method can evaluate the degree to which people's emotional responses are influenced by multiple urban characteristics such as building shapes and textures, isovist parameters, visual entropy, and visual fractals. The results indicate that urban spaces may influence people's emotional responses through both spatial sequence arrangements and shifting scenario sequences. Emotional data were collected with body sensors and GPS devices. Spatial clustering was detected to target effective sampling locations; then, isovists were generated to extract building textures. Logistic regression and a receiver operating characteristic analysis were used to determine the key isovist parameters and the probabilities that they influenced people's emotion. Finally, based on the results, we make some suggestions for design professionals in the field of urban space optimization.

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“…As an example of these paradigms, [25] proposes a system where crowdsourced physiological data and subjective emotions could be used for cross-validation of the emotions that people feel when visiting different urban spaces. However this mobile app is being considered for compiling subjective emotions not for collecting physiological data.…”

Section: Related Workmentioning

confidence: 99%

DAFIESKU: A System for Acquiring Mobile Physiological Data

Simón¹,

Sarasua²,

Gamecho³

et al. 2017

Mobile Information Systems

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Gathering physiological data when they are performing experiments requires a great effort from researchers. Very often, a considerable time is required to prepare the signal acquisition equipment, conduct the experiments, and properly label the data of each participant. Nevertheless this data is valuable for the analysis of personal characteristics, such as behavior, health conditions, and preferences. With the aim of assisting researchers with such tedious tasks, we have developed the DAFIESKU system. This system serves to acquire several types of physiological data. DAFIESKU facilitates the creation of new datasets with physiological data by means of mobile and wearable devices. The usability of the system was evaluated in two case studies in a two-step iterative process. Before conducting the second case study, the whole system was improved using the feedback obtained from the first case study. The results achieved show that usability was enhanced in the second version of DAFIESKU.

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Crowdsourcing Physiological Conditions and Subjective Emotions by Coupling Technical and Human Mobile Sensors

Cited by 27 publications

References 11 publications

Engaging the Senses: The Potential of Emotional Data for Participation in Urban Planning

Engaging the Senses: The Potential of Emotional Data for Participation in Urban Planning

Assessing Essential Qualities of Urban Space with Emotional and Visual Data Based on GIS Technique

DAFIESKU: A System for Acquiring Mobile Physiological Data

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