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＜About the presentation＞
●Speaker： Kateryna Shabelnyk （Graduate School of Humanities）
●Title： Do Computers "Dream" of Writing Novels? Authorship in Japanese Computer-generated Literary Texts
●Detail：
My presentation briefly introduces the genre of computer-generated literature with a particular focus on authorship. Originating in the 1950s, this constantly changing genre has been drawing both more attention and more anxiety with the public introduction of various generative AI tools in 2022. Through the example of one such text, I show how computer-generated literature proposes a new challenge for literary studies, posing a question with no definite answer: "when a text is computer-generated, should a computer be listed as one of the authors?"
●Speaker：SHI Xiaohan（Graduate School of Informatics）
●Title：Emotion Awareness in Multi-utterance Turn for Improving Emotion Prediction in Multi-Speaker Conversation
●Detail：
Understanding emotions is key to smooth and natural communication. In this talk, I’ll introduce a model that helps computers predict people’s emotions during conversations by analyzing not just what is said, but how it is said, especially when multiple people are talking. This work brings us a step closer to emotionally aware AI systems that can better support human interaction.
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