Construction of immersive and interactive methodology based on physiological indicators to subjectively and objectively assess comfort and performances in work offices

Charlotte Scarpa, G. Haese, Toinon Vigier, P. Le Callet
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Abstract

The building sector and the indoor environment conception is undergoing major changes. There is a need to reconsider the way offices are built from a user’s centric point of view. Research has shown the influence of perceived comfort and satisfaction on performance in the workplace. By understanding how multi-sensory information is integrated into the nervous system and which environmental parameters influence the most perception, it could be possible to improve work environments. With the emergence of new virtual reality (VR) and augmented reality (AR) technologies, the collection and processing of sensory information is rapidly advancing, moving forward more dynamic aspects of sensory perception. Through simulated environments, environmental parameters can be easily manipulated at reasonable costs, allowing control and guiding the user’s sensory experience. Moreover, the effects of contextual and surrounding stimuli on users can be easily collected throughout the test, in the form of physiological and behavioral data. Through the use of indoor simulations, this doctoral research goal is to develop a multi-criteria comfort scale based on physiological indicators under performance constraints. In doing this, it would be possible to define new quality indicators combining the different physical factors adapted to the uses and space. In order to achieve the objectives of this project, the first step is to develop and validate an immersive and interactive methodology for the assessment of multisensory information on comfort and performance in work environments.
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构建基于生理指标的沉浸式互动方法,主客观评价办公场所的舒适度和性能
建筑领域和室内环境观念正在发生重大变化。从以用户为中心的角度出发,需要重新考虑办公室的建造方式。研究表明,感知舒适和满意度对工作场所的表现有影响。通过了解多感官信息是如何整合到神经系统中的,以及哪些环境参数对感知的影响最大,有可能改善工作环境。随着新的虚拟现实(VR)和增强现实(AR)技术的出现,感官信息的收集和处理正在迅速发展,推动了感官感知的更多动态方面。通过模拟环境,可以很容易地以合理的成本操纵环境参数,从而控制和引导用户的感官体验。此外,在整个测试过程中,可以很容易地以生理和行为数据的形式收集上下文和周围刺激对用户的影响。通过室内模拟,本博士的研究目标是在性能约束下,开发基于生理指标的多标准舒适量表。在这样做的过程中,可以结合适应用途和空间的不同物理因素,确定新的质量指标。为了实现该项目的目标,第一步是开发和验证一种沉浸式交互式方法,用于评估工作环境中舒适度和性能的多感官信息。
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