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Measuring Physiological Responses to Visualizations of Urban Planning Scenarios in Immersive Virtual Reality

Kartographische Nachrichten, 2023-06, Vol.73 (2), p.117-126

The Author(s) 2023 ;ISSN: 2524-4957 ;EISSN: 2524-4965 ;DOI: 10.1007/s42489-023-00137-7

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  • Title:
    Measuring Physiological Responses to Visualizations of Urban Planning Scenarios in Immersive Virtual Reality
  • Author: Keil, Julian ; Weißmann, Marco ; Korte, Annika ; Edler, Dennis ; Dickmann, Frank
  • Subjects: Earth and Environmental Science ; Geographical Information Systems/Cartography ; Geography ; Human Geography ; Natural Hazards ; Visualization ; Web Development
  • Is Part Of: Kartographische Nachrichten, 2023-06, Vol.73 (2), p.117-126
  • Description: Stakeholder participation is an important component of modern urban planning processes. It can provide information about potential social conflicts related to specific urban planning scenarios. However, acquiring feedback from stakeholders is usually limited to explicit response types such as interviews or questionnaires. Such explicit response types are not suitable for the assessment of unconscious responses to specific parameters of an urban planning scenario. To address this limitation, we propose an approach for the assessment of affective and stress responses using implicit measures. Using a measure for electrodermal activity (EDA) and a virtual reality (VR)-based 3D urban model, we demonstrate how implicit physiological measurements can be visualized and temporally matched to specific parameters in an immersive representation of an urban planning scenario. Since this approach is supposed to support conventional stakeholder participation processes in urban planning, we designed it to be simple, cost-effective and with as little task interference as possible. Based on the additional insights gained from measuring physiological responses to urban planning scenarios, urban planners can further optimize planning scenarios by adjusting them to the derived implicitly expressed needs of stakeholders. To support simple implementation of the suggested approach, we provide sample scripts for visualization of EDA data. Limitations concerning the evaluation of raw EDA data and potentials for extending the described approach with additional physiological measures and real-time data evaluation are discussed.
  • Publisher: Cham: Springer International Publishing
  • Language: English
  • Identifier: ISSN: 2524-4957
    EISSN: 2524-4965
    DOI: 10.1007/s42489-023-00137-7
  • Source: Springer Open Access
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