Project : Sensibility Design for Responsive Ambient Space to Human Affect: The Case Study of Personal Workstation (ระบบควบคุมสภาพแวดล้อมทางสถาปัตยกรรมผ่านการตอบสนองต่ออารมณ์ของมนุษย์ กรณีศึกษา สถานีงานส่วนบุคคล)
Location : –
Date : May 30, 2011
Class/Client : Master Degree Thesis
Category : Article and Research (with Architecture and Design, New Media and Interactivity)
Technique : Architectural Construction, Processing with OpenCV, and Arduino
Work Date : January 2010 – May, 2011
Coworker : –
A Thesis Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Architecture
Department of Architecture Faculty of Architecture and Planning Thammasat University 2011
Emotional intelligence in machine exists in human imagination for decades. It inspires many research fields including affective computing, computing that relates to, arises from, or deliberately influences emotion or other affective phenomena. In conjunction with the concept of ubiquitous computing, which forces the integration of machine, technology, computer, and architecture, they lead the way to new possibilities of architectural design that is adaptable to changing human living and needs.
This research explores a new type of architecture that has emotional abilities, sense and response to human emotion, and studies the influence on architectural users, through prototype development. The study was divided into two parts, (1) the first prototype, a development as proof of concept through facial expression recognition and emotion responsive ambient space and (2) the second prototype, an architectural-scale development of a personal workstation for promoting proper relaxation as positive arousal with environmental psychology through responsive ambient space to human emotion by body movement recognition.
Development and evaluation process was conducted with four architectural students of computer-aided design class as participants for emotional behavior study in body movement recognition development and evaluation of the influence on behavior. The behavioral metrics, which collect behavioral data from sensors through software, was used for prototype evaluation by comparison between participant behavior in architecture with and without emotional abilities.
The result changes how ambient space responses to human by emotion, and how architecture with emotional abilities influence on user behavior from the integration between affective computing and responsive architecture to extension to new function and new experience for users.