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Experiencing the future: Evaluating a new framework for the participatory co-design of healthy public spaces using immersive virtual reality

Urban densification is promoted for sustainable urban growth, yet it also generates concerns about negative health impacts on local citizens. Engaging local citizens in the co-design of densification projects is therefore crucial to address their needs and concerns. The use of immersive Virtual Reality (VR) technologies creates potential for advancing the participatory co-design of healthier urban spaces by allowing citizens to not only visualize but also experience the impacts of future designs or “what-if” scenarios. Theoretically grounded in an extended version of Sheppard's approach, which we call the Experiencing the Future Framework (EFF), we developed a study to create and evaluate an immersive VR application called CoHeSIVE. This application was designed to facilitate participatory co-design processes for healthy public spaces. CoHeSIVE, as the technological manifestation of our framework, was created through iterative workshops with end-user input. During the final workshop with 41 participants, both qualitative and quantitative data were collected, including user behavior and experiences with CoHeSIVE, especially regarding its experiential and interactive components. The vast majority of participants had positive experiences and recommended CoHeSIVE for participatory co-design processes. Participants felt confident in their design outcomes and found the user interface easy to use and effective for making and communicating design decisions. The most preferred design attributes were found to be many and clustered trees, several benches, large grass areas, high-rise buildings, more lampposts and the presence of a fountain, showing that the design outcomes were meaningful for the selected local context. Future enhancements of CoHeSIVE might include adding more design attributes, enhancing visual representations, adding multi-user capabilities, integrating generative AI and expanding CoHeSIVE's applicability to other contexts.

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20-09-2024
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Hoogstedelijke verdichting rond station Eindhoven, nieuw groen verzacht KnoopXL

In de komende 20 jaar ondergaat KnoopXL, het stedelijk gebied rond Eindhoven Centraal Station, een flinke transformatie. Het gebied moet een aantrekkelijk verblijfsgebied worden – met ruimte voor recreatie en ontmoeting. Onderzoekers van de Technische Universiteit Eindhoven en Fontys Hogeschool bekeken hoe dit een aangename plek kan worden waar verschillende groepen mensen zich thuis voelen. Conclusie: stedelijk groen (bomen en gras) zorgt voor positieve emoties en daarmee voor een positieve perceptie van de ruimtelijke kwaliteit ter plaatse.

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25-06-2024
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Influences of cognitive appraisal and individual characteristics on citizens’ perception and emotion in urban environment: Model development and virtual reality experiment

To model individuals' experience of urban spaces, this study integrates knowledge from environmental psychology and artificial intelligence to propose a framework for individuals' perceptions and emotion by incorporating individual characteristics and cognitive appraisal together with environment attributes as determinants. A path model is employed to capture how the four perceptions of environmental qualities (safety, liveliness, comfort, and legibility) and three dimensions of emotion (pleasure, arousal, dominance) are influenced by individual characteristics and cognitive appraisal using data collected in an online virtual reality experiment with 237 participants. Results show that emotional pleasure is more directly influenced by environmental attributes while arousal and dominance are closely related to a person's current mood and personality. Perceptions of environmental qualities do have mediating effects in emotion generation, but contribute differently to the three dimensions of emotion. Cognitive appraisal variables directly influence emotion generation, with ideal values always having positive effects and expected values always negative effects. The findings can help capture the dynamic process of emotional experiences between diverse individuals and may support experience-centered simulation and prediction.

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31-05-2024


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