CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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id acadia23_v2_494
authors Feng, Shuo; Kalantari, Saleh; Sabin, Jenny
year 2023
title Emotive Room: A BCI Interactive Architectural Interface
source ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 494-507.
summary The features of the built environment can affect many aspects of human health and well- being, including emotional and mental health. This paper presents a novel approach to applying emerging, interactive technologies in the design of interior surfaces with the goal of assisting building users in the modulation of their emotional states. Using a biofeed- back approach based on real-time neurological data—in other words, a brain-computer interface—the Emotive Room project responds to users' stress levels with changes in the color and form of the interior environment. These changes are designed to help promote calmness when users are stressed, and to promote higher energy levels when users are calm. The paper describes the methods that were used to create the Emotive Room environment, the scientific grounding for our approach, and the accessible fabrications methods that were employed. Potential applications and future research paths related to the project are discussed.
series ACADIA
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100%; open Jaime Snyder, Mark Matthews, Jacqueline Chien, Pamara F. Chang, Emily Sun, Saeed Abdullah, and Geri Gay (2015) Find in CUMINCAD MoodLight: Exploring Personal and Social Implications of Ambient Display of Biosensor Data , Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work and Social Computing, 143–53. Vancouver, Canada: ACM. https://doi.org/10.1145/2675133.2675191

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