What makes you change your mind? An empirical investigation in online group decision-making conversations

Georgi Karadzhov, Tom Stafford, Andreas Vlachos


Abstract
People leverage group discussions to collaborate in order to solve complex tasks, e.g. in project meetings or hiring panels. By doing so, they engage in a variety of conversational strategies where they try to convince each other of the best approach and ultimately reach a decision. In this work, we investigate methods for detecting what makes someone change their mind. To this end, we leverage a recently introduced dataset containing group discussions of people collaborating to solve a task. To find out what makes someone change their mind, we incorporate various techniques such as neural text classification and language-agnostic change point detection. Evaluation of these methods shows that while the task is not trivial, the best way to approach it is using a language-aware model with learning-to-rank training. Finally, we examine the cues that the models develop as indicative of the cause of a change of mind.
Anthology ID:
2022.sigdial-1.52
Volume:
Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue
Month:
September
Year:
2022
Address:
Edinburgh, UK
Editors:
Oliver Lemon, Dilek Hakkani-Tur, Junyi Jessy Li, Arash Ashrafzadeh, Daniel Hernández Garcia, Malihe Alikhani, David Vandyke, Ondřej Dušek
Venue:
SIGDIAL
SIG:
SIGDIAL
Publisher:
Association for Computational Linguistics
Note:
Pages:
552–563
Language:
URL:
https://aclanthology.org/2022.sigdial-1.52
DOI:
10.18653/v1/2022.sigdial-1.52
Bibkey:
Cite (ACL):
Georgi Karadzhov, Tom Stafford, and Andreas Vlachos. 2022. What makes you change your mind? An empirical investigation in online group decision-making conversations. In Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 552–563, Edinburgh, UK. Association for Computational Linguistics.
Cite (Informal):
What makes you change your mind? An empirical investigation in online group decision-making conversations (Karadzhov et al., SIGDIAL 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.sigdial-1.52.pdf
Video:
 https://youtu.be/wA9RLUEdwOg
Data
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