Parametric Hermeneutics

  • Add renders from Matija
    • Compile into animated GIFs or HTML sliders
  • Write commentary and discussion based on renders and lessons from the other experiments

Significance

Gap

Opportunity

Questions

Methods

Discussion

Potential

Limitations

Contribution

Future

Project Description

Context

Objectives

Agents

Methods

Results

Discussion

Notes

Smart Spaces

  • Mediated Atmospheres
    • Extending research into use of atmosphere (lighting, air conditioning, other environmental parameters) beyond concerns about productivity at the office, e.g. health, mood, satisfaction, nonhuman issues, etc.
  • Herztian Space
    • Taylor, Mark. “Hertzian Space: Material Response to Spatial Presence.” Architectural Design 77, no. 5 (2007): 149–51. https://doi.org/10/dpjskt.

Machine Learning

  • Atmosphere, mood and emotion
    • Architecture
    • Audio
      • Cunningham, Stuart, Harrison Ridley, Jonathan Weinel, and Richard Picking. “Supervised Machine Learning for Audio Emotion Recognition: Enhancing Film Sound Design Using Audio Features, Regression Models and Artificial Neural Networks.” Personal and Ubiquitous Computing, April 22, 2020. https://doi.org/10/gkzjd4.
  • Physical space
    • Generating three-dimensional objects and spaces using machine learning techniques
      • Wu, Jiajun, Chengkai Zhang, Tianfan Xue, William T. Freeman, and Joshua B. Tenenbaum. “Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling.” arXiv:1610.07584 [Cs], January 4, 2017.
      • Tatarchenko, Maxim, Alexey Dosovitskiy, and Thomas Brox. “Octree Generating Networks: Efficient Convolutional Architectures for High-Resolution 3D Outputs.” arXiv:1703.09438 [Cs], 2017.

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