Comparison of the Intimacy Process between Real and Acting-based Long-term Text Chats

Tsunehiro Arimoto, Hiroaki Sugiyama, Hiromi Narimatsu, Masahiro Mizukami

Abstract
Long-term chatbots are expected to develop relationships with users. The major trend in this field’s recent long-term chatbot studies is to train systems with virtual long-term chat data called Multi-Session Chat (MSC), which collects text chat from multiple sessions of crowd workers playing the roles of speakers with defined personas. However, no investigation has attempted to determine whether such virtual long-term chat can successfully simulate relationship-building between speakers. To clarify the difference between an actual long-term intimacy process and an MSC intimacy process, this study collects real long-term chat and MSC in Japanese and compares them in terms of speech form and dialogue acts. The results of analyzing these factors suggest that MSC have an unnatural tendency to behave as if they have a close relationship with non-polite speech levels compared to actual long-term chats, but also as if they have a shallow relationship with more questions than real long-term chats.
Anthology ID:
2024.lrec-main.322
Volume:
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Month:
May
Year:
2024
Address:
Torino, Italia
Editors:
Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue
Venues:
LREC | COLING
SIG:
Publisher:
ELRA and ICCL
Note:
Pages:
3639–3644
Language:
URL:
https://aclanthology.org/2024.lrec-main.322
DOI:
Bibkey:
Cite (ACL):
Tsunehiro Arimoto, Hiroaki Sugiyama, Hiromi Narimatsu, and Masahiro Mizukami. 2024. Comparison of the Intimacy Process between Real and Acting-based Long-term Text Chats. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 3639–3644, Torino, Italia. ELRA and ICCL.
Cite (Informal):
Comparison of the Intimacy Process between Real and Acting-based Long-term Text Chats (Arimoto et al., LREC-COLING 2024)
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