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ArchiGuesser – Teaching Architecture Styles using Generative AI

Published: 15 November 2023 Publication History

Abstract

Generative AIs are opening new possibilities to create content from text, speech, and images based on simple input prompts. Users use this to improve their productivity when summarizing knowledge, templating communication, and inspiring their creativity. But, can it also be used to teach, e.g. about our architectural history?
With this demo we are exploring this question. We created an educational game that combines various AI technologies from large language models and image generation to computer vision, in order to serve a single purpose: Teach users about architecture in an entertaining way. We wanted to enable students to explore and learn the diversity of our architectural history in a playful and exploratory way and at the same time experience and understand what current AI technologies can achieve.

References

[1]
Jeff M. Jones. 2022. The 9 Unique Regions of the World. Retrieved September 22, 2023 from https://objectivelists.com/2022/12/30/regions-of-the-world/
[2]
Magdalena Novak and Stephan Schwan. 2021. Does touching real objects affect learning?Educational Psychology Review 33 (2021), 637–665.
[3]
Joern Ploennigs and Markus Berger. 2023. AI Art in Architecture. AI in Civil Engineering 2, 1 (2023), 8.
[4]
Zhiqiang John Zhai and Jonathan M Previtali. 2010. Ancient vernacular architecture: characteristics categorization and energy performance evaluation. Energy and buildings 42, 3 (2010), 357–365.

Cited By

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  • (2024)Research on the intelligent education system design and local application practice of architecture major based on red resourcesApplied Mathematics and Nonlinear Sciences10.2478/amns-2024-24789:1Online publication date: 3-Sep-2024
  • (2024)When and How to Use AI in the Design Process? Implications for Human-AI Design CollaborationInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2353451(1-16)Online publication date: 22-May-2024
  • (2024)Generative AI and the History of ArchitectureDecoding Cultural Heritage10.1007/978-3-031-57675-1_2(23-45)Online publication date: 25-Apr-2024

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BuildSys '23: Proceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
November 2023
567 pages
ISBN:9798400702303
DOI:10.1145/3600100
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 November 2023

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BuildSys '23

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Overall Acceptance Rate 148 of 500 submissions, 30%

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Cited By

View all
  • (2024)Research on the intelligent education system design and local application practice of architecture major based on red resourcesApplied Mathematics and Nonlinear Sciences10.2478/amns-2024-24789:1Online publication date: 3-Sep-2024
  • (2024)When and How to Use AI in the Design Process? Implications for Human-AI Design CollaborationInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2353451(1-16)Online publication date: 22-May-2024
  • (2024)Generative AI and the History of ArchitectureDecoding Cultural Heritage10.1007/978-3-031-57675-1_2(23-45)Online publication date: 25-Apr-2024

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