This paper investigates the role technology and neuroscience play in aiding the design process and making meaningful connections between people and nature. Using two workshops as a vehicle, the team introduced advanced technologies and Quantified Self practices that allowed people to use neural data and pattern recognition as feedback for the design process. The objective is to find clues to natural elements of human perception that can inform the design to meet goals for well-being. A pattern network of geometric shapes that achieve a higher level of monitored meditation levels and point toward a positive emotional valence is proposed. By referencing biological forms found in nature, the workshops utilized an algorithmic process that explored how nature can influence architecture. To measure the impact, the team used FaceOSC for capture and an Artificial Neural Network for micro-expression recognition, and a MindWave sensor manufactured by NeuroSky, which documented the human response further. The methodology allowed us to establish a boundary logic, ranking geometric shapes that suggested positive emotions and a higher level of monitored meditation levels. The results pointed us to a deeper level of understanding relative to geometric shapes in design. They indicate a new way to predict how well-being factors can clarify and rationalize a more intuitive design process inspired by nature.


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    Titel :

    Measuring Human Perception of Biophilically-Driven Design with Facial Micro-expressions Analysis and EEG Biosensor


    Beteiligte:
    Yuan, Philip F. (Herausgeber:in) / Chai, Hua (Herausgeber:in) / Yan, Chao (Herausgeber:in) / Leach, Neil (Herausgeber:in) / Macruz, Andrea (Autor:in) / Bueno, Ernesto (Autor:in) / Palma, Gustavo G. (Autor:in) / Vega, Jaime (Autor:in) / Palmieri, Ricardo A. (Autor:in) / Wu, Tan Chen (Autor:in)

    Kongress:

    The International Conference on Computational Design and Robotic Fabrication ; 2021 ; Shanghai, China July 03, 2021 - July 04, 2021


    Erschienen in:

    Erscheinungsdatum :

    22.09.2021


    Format / Umfang :

    11 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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