ABSTRACT: This article integrates a research project that aims to understand the
architectonic contexts’ influence on meditation practice. One of the phases of the
project refers to meditation practitioners’ emotional reactions to a set of architectonic
contexts using Kansei. Accordingly, we will use the Kansei inquiry method
which allows the creation of predictive models that relate characteristics of architectonic
contexts with the expected reactions of meditation practitioners. The
more productive type of approach, real scale models, might be unpractical due
to the high costs of implementation. The aim of this article is first to establish
a conviction about which of the two ways of presenting models might be better
for getting this information. Under these two conditions, 30 participants who
practice meditation, 15 with PowerPoint (PP) and 15 with virtual reality (VR),
classified 10 architectonic contexts on how they may be influencing their will to
practice meditation. These 10 contexts vary in materiality and openings to the
exterior. The Kansei word pairs (agitated-calm, distracted-aware, absent-present,
uncomfortable-comfortable, numb-awake, unstable-stable, depressed-happy, and
constrained-free) were used to evaluate the participant’s perception. At the end, the
volunteers were interviewed to collect information about their grade of Presence.
The results showed higher punctuation attributed to VR in almost all questions of
the Presence Evaluation Questionnaire (PEQ), this might suggest a higher immersion
grade in VR than with the PP. Moreover, the Kansei results for mandala
windows suggest that a glare effect is only clearly perceived in VR. Finally, we
recommend further studies with larger samples.
KEYWORDS: Artificial Intelligence · Architecture · Virtual Reality · Kansei ·
Meditation
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