Computational Storytelling and Emotions: A Survey
Yusuke Mori, Hiroaki Yamane, Yusuke Mukuta, Tatsuya Harada

TL;DR
This survey explores the intersection of computational storytelling and emotions, emphasizing how AI can collaborate with humans to enhance creative storytelling through understanding and generating emotional content.
Contribution
It summarizes current research on emotions in storytelling and introduces creative techniques from professional storytellers to foster human-AI collaboration.
Findings
Deep learning advances enable emotion-aware story generation
Collaboration between humans and AI enhances storytelling creativity
Professional storytelling techniques can inform computational models
Abstract
Storytelling has always been vital for human nature. From ancient times, humans have used stories for several objectives including entertainment, advertisement, and education. Various analyses have been conducted by researchers and creators to determine the way of producing good stories. The deep relationship between stories and emotions is a prime example. With the advancement in deep learning technology, computers are expected to understand and generate stories. This survey paper is intended to summarize and further contribute to the development of research being conducted on the relationship between stories and emotions. We believe creativity research is not to replace humans with computers, but to find a way of collaboration between humans and computers to enhance the creativity. With the intention of creating a new intersection between computational storytelling research and human…
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Taxonomy
TopicsDigital Storytelling and Education · Artificial Intelligence in Games
