research-article

Bridging Fluency Disparity between Native and Nonnative Speakers in Multilingual Multiparty Collaboration Using a Clarification Agent

Authors:

Naomi Yamashita,

Yoshinari Shirai,

Susan R. FussellAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 5, Issue CSCW2

Article No.: 435, Pages 1 - 31

https://doi.org/10.1145/3479579

Published: 18 October 2021 Publication History

Abstract

Multiparty collaboration using a common language is often challenging for nonnative speakers (NNS). Conversation can move forward rapidly, with terms and references unfamiliar to NNS often going unexplained because NNS do not request clarification due to cognitive overload or face concerns. Language difficulties may further lead to NNS having a low level of participation in a conversation, which could be a loss for multilingual teams. To help NNS resolve potential confusions due to unfamiliar language use without risking face concerns, we created a conversation agent that asked clarification questions intended to help NNS follow and participate in multiparty conversations. We conducted a within-subjects laboratory experiment with 17 triads of 2 NS and 1 NNS, who performed a series of collaborative tasks under three conditions: a) no agent, b) a high-level agent that resembles a NNS with good command of English, and c) a low-level agent that resembles a NNS with poor English skills. Results suggest that NS made significantly more clarifications in both agent conditions than without an agent. In the high-level agent condition, NNS reported an increase in understanding after the agent's interruption and spoke significantly more. Further, NNS evaluated their communication competence in English highest in the low-level agent condition and lowest in the control condition. Our findings suggest several directions to improve the tool to better facilitate multilingual multiparty communication.

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Armstrong MYang CSkiers KLim MGunasekaran TWang ZNarumi TMinamizawa KPai Y(2024)SealMates: Improving Communication in Video Conferencing using a Collective Behavior-Driven AvatarProceedings of the ACM on Human-Computer Interaction10.1145/36373958:CSCW1(1-23)Online publication date: 26-Apr-2024
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Index Terms

Bridging Fluency Disparity between Native and Nonnative Speakers in Multilingual Multiparty Collaboration Using a Clarification Agent
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Computer supported cooperative work
  2. Human computer interaction (HCI)
2. Social and professional topics
  1. Professional topics
    1. Computing and business
      1. Computer supported cooperative work

Index terms have been assigned to the content through auto-classification.

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 5, Issue CSCW2

CSCW2

October 2021

5376 pages

EISSN:2573-0142

DOI:10.1145/3493286

Editor:
Jeff Nichols
Apple Inc., United States

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Published: 18 October 2021

Published in PACMHCI Volume 5, Issue CSCW2

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https://dl.acm.org/doi/10.1145/3637395
Gao JGebreegziabher SChoo KLi TPerrault SMalone T(2024)A Taxonomy for Human-LLM Interaction Modes: An Initial ExplorationExtended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613905.3650786(1-11)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3650786
Hwang AWon A(2024)The Sound of Support: Gendered Voice Agent as Support to Minority Teammates in Gender-Imbalanced TeamProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642202(1-22)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642202
Candon KChen JKim YHsu ZTsoi NVázquez MAgmon NAn BRicci AYeoh W(2023)Nonverbal Human Signals Can Help Autonomous Agents Infer Human Preferences for Their BehaviorProceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems10.5555/3545946.3598652(307-316)Online publication date: 30-May-2023
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