Lottery and Sprint: Generate a Board Game with Design Sprint Method on AutoGPT-Reference-Cited by-同舟云学术

Lottery and Sprint: Generate a Board Game with Design Sprint Method on AutoGPT

Published:2023-10-06 Issue: Volume: Page:
ISSN:
Container-title:Companion Proceedings of the Annual Symposium on Computer-Human Interaction in Play
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Author:

Torii Maya Grace¹^ORCID,Murakami Takahito¹^ORCID,Ochiai Yoichi²^ORCID

Affiliation:

1. Digtal Nature Group, Graduate School of Comprehensive Human Sciences, University of Tsukuba, Japan

2. R&D Center for Digital Nature, University of Tsukuba, Japan

Funder

Japan Society for the Promotion of Science

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3573382.3623706

Reference18 articles.

1. Design Thinking Versus Design Sprint: A Comparative Study

2. Creativity factor evaluation

3. Guillaume Chaslot , Sander Bakkes , Istvan Szita , and Pieter Spronck . 2008 . Monte-carlo tree search: A new framework for game ai . In Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, Vol. 4. 216–217 . Guillaume Chaslot, Sander Bakkes, Istvan Szita, and Pieter Spronck. 2008. Monte-carlo tree search: A new framework for game ai. In Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, Vol. 4. 216–217.

4. Van Eck , R. N. , V. J. Shute , and L. P. Rieber . 2017. Leveling up: Game design research and practice for instructional designers . Pearson, New York, NY , 227–285. Van Eck, R. N., V. J. Shute, and L. P. Rieber. 2017. Leveling up: Game design research and practice for instructional designers. Pearson, New York, NY, 227–285.

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