ArchiGuesser -- AI Art Architecture Educational Game
December 14, 2023 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Joern Ploennigs, Markus Berger, Eva Carnein
arXiv ID
2312.09334
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.MM
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
The use of generative AI in education is a controversial topic. Current technology offers the potential to create educational content from text, speech, to images based on simple input prompts. This can enhance productivity by summarizing knowledge and improving communication, quickly adjusting to different types of learners. Moreover, generative AI holds the promise of making the learning itself more fun, by responding to user inputs and dynamically generating high-quality creative material. In this paper we present the multisensory educational game ArchiGuesser that combines various AI technologies from large language models, image generation, to computer vision to serve a single purpose: Teaching students in a playful way the diversity of our architectural history and how generative AI works.
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