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Learning Geometric Transformations for Parametric Design: An Augmented Reality (AR)-Powered Approach

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Computer-Aided Architectural Design. Design Imperatives: The Future is Now (CAAD Futures 2021)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1465))

Abstract

Despite the remarkable development of parametric modeling methods for architectural design, a significant problem still exists, which is the lack of knowledge and skill regarding the professional implementation of parametric design in architectural modeling. Considering the numerous advantages of digital/parametric modeling in rapid prototyping and simulation most instructors encourage students to use digital modeling even from the early stages of design; however, an appropriate context to learn the basics of digital design thinking is rarely provided in architectural pedagogy. This paper presents an educational tool, specifically an Augmented Reality (AR) intervention, to help students understand the fundamental concepts of parametric modeling before diving into complex parametric modeling platforms. The goal of the AR intervention is to illustrate geometric transformation and the associated math functions so that students learn the mathematical logic behind the algorithmic thinking of parametric modeling. We have developed BRICKxAR/T, an educational AR prototype, that intends to help students learn geometric transformations in an immersive spatial AR environment. A LEGO set is used within the AR intervention as a physical manipulative to support physical interaction and improve spatial skill through body gesture.

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Acknowledgements

This material is based upon work supported by the National Science Foundation under Grant No. 2119549 and Texas A&M University’s PTTG and Innovation [X] grants.

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Authors and Affiliations

  1. Department of Architecture, Texas A&M University, College Station, TX, 77843, USA

    Zohreh Shaghaghian & Wei Yan

  2. Department of Psychological and Brain Sciences, Texas A&M University, College Station, TX, USA

    Heather Burte

  3. Department of Computer Science and Engineering, Texas A&M University, College Station, TX, USA

    Dezhen Song

Authors
  1. Zohreh Shaghaghian
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  2. Heather Burte
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  3. Dezhen Song
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  4. Wei Yan
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Corresponding author

Correspondence to Wei Yan .

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Editors and Affiliations

  1. University of Southern California, Los Angeles, CA, USA

    David Gerber

  2. University of Southern California, Los Angeles, CA, USA

    Evangelos Pantazis

  3. Florida International University, Miami, FL, USA

    Biayna Bogosian

  4. University of Calgary, Calgary, Canada

    Alicia Nahmad

  5. Aalto University, Espoo, Finland

    Constantinos Miltiadis

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Shaghaghian, Z., Burte, H., Song, D., Yan, W. (2022). Learning Geometric Transformations for Parametric Design: An Augmented Reality (AR)-Powered Approach. In: Gerber, D., Pantazis, E., Bogosian, B., Nahmad, A., Miltiadis, C. (eds) Computer-Aided Architectural Design. Design Imperatives: The Future is Now. CAAD Futures 2021. Communications in Computer and Information Science, vol 1465. Springer, Singapore. https://doi.org/10.1007/978-981-19-1280-1_31

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  • DOI: https://doi.org/10.1007/978-981-19-1280-1_31

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