Neurophysiological correlates of embodiment and motivational factors during the perception of virtual architectural environments

Vecchiato, Giovanni; Jelić, Andrea; Tieri, Gaetano; Maglione, Anton Giulio; Matteis, Federico De; Babiloni, Fabio

doi:10.1007/s10339-015-0725-6

Cited by 44 publications

(34 citation statements)

References 19 publications

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“…Thus, VR makes it possible to simulate and evaluate spatial environments under controlled laboratory conditions 32 , 33 , allowing the isolation and modification of variables in a cost and time effective manner, something which is unfeasible in real space 34 . During the last two decades VR has usually been displayed using desktop PCs or semi-immersive systems such as CAVEs or Powerwalls 35 . Today, the use of head-mounted displays (HMD) is increasing: these provide fully-immersive systems that isolate the user from external world stimuli.…”

Section: Introductionmentioning

confidence: 99%

Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors

Marín‐Morales

Greco

Guixeres

et al. 2018

Sci Rep

280

170

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Affective Computing has emerged as an important field of study that aims to develop systems that can automatically recognize emotions. Up to the present, elicitation has been carried out with non-immersive stimuli. This study, on the other hand, aims to develop an emotion recognition system for affective states evoked through Immersive Virtual Environments. Four alternative virtual rooms were designed to elicit four possible arousal-valence combinations, as described in each quadrant of the Circumplex Model of Affects. An experiment involving the recording of the electroencephalography (EEG) and electrocardiography (ECG) of sixty participants was carried out. A set of features was extracted from these signals using various state-of-the-art metrics that quantify brain and cardiovascular linear and nonlinear dynamics, which were input into a Support Vector Machine classifier to predict the subject’s arousal and valence perception. The model’s accuracy was 75.00% along the arousal dimension and 71.21% along the valence dimension. Our findings validate the use of Immersive Virtual Environments to elicit and automatically recognize different emotional states from neural and cardiac dynamics; this development could have novel applications in fields as diverse as Architecture, Health, Education and Videogames.

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Section: Introductionmentioning

confidence: 99%

Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors

Marín‐Morales

Greco

Guixeres

et al. 2018

Sci Rep

280

170

View full text Add to dashboard Cite

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“…Design neurocognition EEG-based studies are emerging at an exploratory stage with a few reported domain-specific studies on engineering design, architecture and industrial design. Results from controlled experiments identify the relationship between design problem statements and cognitive behaviors during conceptual design (Liu et al, 2018), visual attention and association in expert designers (Liang et al, 2018), neurophysiological EEG signals to study effort, fatigue and concentration in conceptual design (Nguyen et al, 2016), EEG bands associated with the design activities of problem solving and evaluation (Liu et al, 2016), neurophysiological correlates of embodiment and motivational factors during the perception of virtual architecture (Vecchiato et al, 2015). However, time-related neural responses during problem-solving compared to design tasks across domains are as yet unknown.…”

Section: Introductionmentioning

confidence: 99%

Comparing the Design Neurocognition of Mechanical Engineers and Architects: A Study of the Effect of Designer’s Domain

Vieira

Gero

Delmoral

et al. 2019

Proc. Int. Conf. Eng. Des.

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New tools from neuroscience allow design researchers to explore design neurocognition. By taking the advantage of EEG's temporal resolution we give up spatial resolution to focus on the performance of time-related design tasks. This paper presents results from an experiment using EEG to measure brain activation to study mechanical engineers and architects to compare their design neurocognition. In this study, we adopted and extended the tasks described in a previous fMRI study of design neurocognition reported in the literature. The block experiment consists of a sequence of 3 tasks: problem solving, basic design and open design using a physical interface. The block is preceded by a familiarizing pre-task using the physical interface and then extended to a fourth task using free-hand sketching. Brainwaves were collected from both mechanical engineers and architects. Results comparing 36 mechanical engineers and architects while designing were produced. These results indicate design cognition differences between the two domains in task-related power between the problem-solving task and the design tasks, in temporal resolution and transformed power.

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“…In parallel, there is an increasing interest for studying perception of architecture in terms of multi-sensory and embodied experience, understood in the context of late-nineteenth century empathy theories and inspired by recent conceptual and experimental neuroaesthetic framework by Freedberg and Gallese ( 2007 ). Accordingly, initial studies investigated how spatial features modulate bodily self-consciousness (Pasqualini et al, 2013 ) and explored the possibility to understand neurophysiological correlates of architectural perception pertaining to cerebral circuits involved in embodiment, sensorimotor integration, and spatial navigation (Vecchiato et al, 2015a , b ). As elaborated later on, the proposed enactive approach for understanding architectural experience is directly based on this closely related line of research dedicated to the study of embodiment in art experience.…”

Section: Introductionmentioning

confidence: 99%

The Enactive Approach to Architectural Experience: A Neurophysiological Perspective on Embodiment, Motivation, and Affordances

et al. 2016

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Over the last few years, the efforts to reveal through neuroscientific lens the relations between the mind, body, and built environment have set a promising direction of using neuroscience for architecture. However, little has been achieved thus far in developing a systematic account that could be employed for interpreting current results and providing a consistent framework for subsequent scientific experimentation. In this context, the enactive perspective is proposed as a guide to studying architectural experience for two key reasons. Firstly, the enactive approach is specifically selected for its capacity to account for the profound connectedness of the organism and the world in an active and dynamic relationship, which is primarily shaped by the features of the body. Thus, particular emphasis is placed on the issues of embodiment and motivational factors as underlying constituents of the body-architecture interactions. Moreover, enactive understanding of the relational coupling between body schema and affordances of architectural spaces singles out the two-way bodily communication between architecture and its inhabitants, which can be also explored in immersive virtual reality settings. Secondly, enactivism has a strong foothold in phenomenological thinking that corresponds to the existing phenomenological discourse in architectural theory and qualitative design approaches. In this way, the enactive approach acknowledges the available common ground between neuroscience and architecture and thus allows a more accurate definition of investigative goals. Accordingly, the outlined model of architectural subject in enactive terms—that is, a model of a human being as embodied, enactive, and situated agent, is proposed as a basis of neuroscientific and phenomenological interpretation of architectural experience.

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Neurophysiological correlates of embodiment and motivational factors during the perception of virtual architectural environments

Cited by 44 publications

References 19 publications

Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors

Affective computing in virtual reality: emotion recognition from brain and heartbeat dynamics using wearable sensors

Comparing the Design Neurocognition of Mechanical Engineers and Architects: A Study of the Effect of Designer’s Domain

The Enactive Approach to Architectural Experience: A Neurophysiological Perspective on Embodiment, Motivation, and Affordances

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