From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues
Yu Li, Devamanyu Hazarika, Di Jin, Julia Hirschberg, Yang Liu
Abstract
Self-anthropomorphism in robots manifests itself through their display of human-like characteristics in dialogue, such as expressing preferences and emotions. Our study systematically analyzes self-anthropomorphic expression within various dialogue datasets, outlining the contrasts between self-anthropomorphic and non-self-anthropomorphic responses in dialogue systems. We show significant differences in these two types of responses and propose transitioning from one type to the other. We also introduce Pix2Persona, a novel dataset aimed at developing ethical and engaging AI systems in various embodiments. This dataset preserves the original dialogues from existing corpora and enhances them with paired responses: self-anthropomorphic and non-self-anthropomorphic for each original bot response. Our work not only uncovers a new category of bot responses that were previously under-explored but also lays the groundwork for future studies about dynamically adjusting self-anthropomorphism levels in AI systems to align with ethical standards and user expectations.- Anthology ID:
- 2024.findings-emnlp.567
- Volume:
- Findings of the Association for Computational Linguistics: EMNLP 2024
- Month:
- November
- Year:
- 2024
- Address:
- Miami, Florida, USA
- Editors:
- Yaser Al-Onaizan, Mohit Bansal, Yun-Nung Chen
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 9695–9713
- Language:
- URL:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2024.findings-emnlp.567/
- DOI:
- 10.18653/v1/2024.findings-emnlp.567
- Cite (ACL):
- Yu Li, Devamanyu Hazarika, Di Jin, Julia Hirschberg, and Yang Liu. 2024. From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues. In Findings of the Association for Computational Linguistics: EMNLP 2024, pages 9695–9713, Miami, Florida, USA. Association for Computational Linguistics.
- Cite (Informal):
- From Pixels to Personas: Investigating and Modeling Self-Anthropomorphism in Human-Robot Dialogues (Li et al., Findings 2024)
- PDF:
- https://preview.aclanthology.org/build-pipeline-with-new-library/2024.findings-emnlp.567.pdf