• Explore the future Earth with Wander 2.0: AI chatbot driven by knowledge-base story generation and text-to-image model

Sun, Yuqian, Ying, Xu, Chenhang, Cheng, Yihua, Li, Chang Hee, Lee and Ali, Asadipour, 2023, Book Section, Explore the future Earth with Wander 2.0: AI chatbot driven by knowledge-base story generation and text-to-image model In: Schmidt, Albrecht, Väänänen, Kaisa, Goyal, Tesh, Kristensson, Per Ola and Peters, Anicia, (eds.) Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, USA, pp. 1-5. ISBN 978-1-4503-9422-2

Abstract or Description:

People always envision the future of earth through science fiction (Sci-fi), so can we create a unique experience of "visiting the future earth" through the lens of artificial intelligence (AI)? We introduce Wander 2.0, an AI chatbot that co-creates sci-fi stories through knowledge-based story generation on daily communication platforms like WeChat and Discord. Using location information from Google Maps, Wander generates narrative travelogues about specific locations (e.g. Paris) through a large-scale language model (LLM). Additionally, using the large-scale text-to-image model (LTGM) Stable Diffusion, Wander transfers future scenes that match both the text description and location photo, facilitating future imagination. The project also includes a real-time visualization of the human-AI collaborations on a future map. Through journeys with visitors from all over the world, Wander demonstrates how AI can serve as a subjective interface linking fiction and reality. Our research shows that multi-modal AI systems have the potential to extend the artistic experience and creative world-building through adaptive and unique content generation for different people. Wander 2.0 is available at http://wander001.com/

Official URL: https://dl.acm.org/doi/10.1145/3544549.3583931
Subjects: Other > Mathematical and Computer Sciences > G400 Computer Science > G440 Human-computer Interaction
Creative Arts and Design > W900 Others in Creative Arts and Design > W990 Creative Arts and Design not elsewhere classified
School or Centre: Research Centres > Computer Science Research Centre
Identification Number or DOI: https://doi.org/10.1145/3544549.3583931
Date Deposited: 06 Jul 2023 10:39
Last Modified: 06 Jul 2023 10:39
URI: https://researchonline.rca.ac.uk/id/eprint/5451
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