Headwaters Co., Ltd. Announces Research Results on "Narrative Translation Sensitivity Surrogate by Large Language Models (LLMs)" at the 21st Annual Conference of the Japan Society of Kansei Engineering & ISASE2026
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AI Summary (NQ-processed)
Headwaters Co., Ltd. presented its research on "Narrative Translation Sensitivity Surrogate by Large Language Models (LLMs)" at a major academic conference. This research introduces the concept of a "Kansei Surrogate," which uses AI like LLMs to proxy and complement subjective human emotional evaluations. Focusing on the aesthetic quality of narrative translation—including worldview, characterization, and tone—the study organized key considerations for designing LLM-based evaluation methods. This aims to address challenges in content localization, such as resource shortages and the difficulty of objectively assessing subjective qualities, paving the way for advanced AI-driven quality assessment in various creative fields.
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Frequently Asked Questions
- Q: What is the full name of the conference where Headwaters Co., Ltd. presented its research on narrative translation sensitivity surrogate by LLMs?
- A: The full name of the conference is the 21st Annual Conference of the Japan Society of Kansei Engineering & ISASE2026, held from March 16 to March 18, 2026.
- Q: Who are the presenters of the research titled 'Narrative Translation Sensitivity Surrogate by Large Language Models' at the 2026 conference?
- A: The presenters are Takayuki Shimotomai, Fuuka Shibata, Hiroki Shiga, Koki Takeishi from Headwaters Co., Ltd., and Miwako Kamijo from Sagami Women's University.
- Q: When and where did Headwaters Co., Ltd. present its research findings on narrative translation using large language models?
- A: Headwaters Co., Ltd. presented its research on March 16, 2026, at the Utsunomiya University Yoto Campus during the 21st Annual Conference of the Japan Society of Kansei Engineering & ISASE2026.
- Q: What does the term 'Kansei Surrogate' refer to in the context of Headwaters' research on narrative translation?
- A: 'Kansei Surrogate' refers to the use of AI, such as large language models, to substitute or complement evaluations of subjective human feelings like emotional tone and worldview in narrative translation.
- Q: What specific aspects of narrative translation did Headwaters' research focus on evaluating using large language models?
- A: The research focused on evaluating the emotional quality of narrative translation, including aspects such as worldview, characterization, and tone, using large language models.