ArchiGuesser - Teaching Architecture Styles using Generative AI

被引:1
作者
Berger, Markus [1 ]
Ploennigs, Joern [1 ]
机构
[1] Univ Rostock, AI Sustainable Construct, Rostock, Germany
来源
PROCEEDINGS OF THE 10TH ACM INTERNATIONAL CONFERENCE ON SYSTEMS FOR ENERGY-EFFICIENT BUILDINGS, CITIES, AND TRANSPORTATION, BUILDSYS 2023 | 2023年
关键词
D O I
10.1145/3600100.3626262
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
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收藏
页码:284 / 285
页数:2
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