Let’s Chat: Understanding User Expectations in Socialbot Interactions
Elizabeth Soper, Erin Pacquetet, Sougata Saha, Souvik Das, Rohini Srihari
Abstract
This paper analyzes data from the 2021 Amazon Alexa Prize Socialbot Grand Challenge 4, in order to better understand the differences between human-computer interactions (HCI) in a socialbot setting and conventional human-to-human interactions. We find that because socialbots are a new genre of HCI, we are still negotiating norms to guide interactions in this setting. We present several notable patterns in user behavior toward socialbots, which have important implications for guiding future work in the development of conversational agents.- Anthology ID:
- 2022.hcinlp-1.5
- Volume:
- Proceedings of the Second Workshop on Bridging Human--Computer Interaction and Natural Language Processing
- Month:
- July
- Year:
- 2022
- Address:
- Seattle, Washington
- Venue:
- HCINLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 34–39
- Language:
- URL:
- https://aclanthology.org/2022.hcinlp-1.5
- DOI:
- 10.18653/v1/2022.hcinlp-1.5
- Cite (ACL):
- Elizabeth Soper, Erin Pacquetet, Sougata Saha, Souvik Das, and Rohini Srihari. 2022. Let’s Chat: Understanding User Expectations in Socialbot Interactions. In Proceedings of the Second Workshop on Bridging Human--Computer Interaction and Natural Language Processing, pages 34–39, Seattle, Washington. Association for Computational Linguistics.
- Cite (Informal):
- Let’s Chat: Understanding User Expectations in Socialbot Interactions (Soper et al., HCINLP 2022)
- PDF:
- https://preview.aclanthology.org/remove-xml-comments/2022.hcinlp-1.5.pdf