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Improving Multilingual Collaboration by Displaying How Non-native Speakers Use Automated Transcripts and Bilingual Dictionaries

Published: 18 April 2015 Publication History

Abstract

Conversational grounding, or establishing mutual knowledge that messages have been understood as intended, can be difficult to achieve when some conversational participants are using a non-native language. These difficulties in grounding can be challenging for native speakers to detect. In this paper, we examine the value of signaling potential grounding problems to native speakers (NS) by displaying how non-native speakers (NNS) use automated transcripts and bilingual dictionaries. We conducted a laboratory experiment in which NS and NNS of English collaborated via audio conferencing on a map navigation task. Triads of one NS guider, one NS follower, and one NNS follower performed the task using one of three awareness displays: (a) a no awareness display that showed only the automated transcripts, (b) a general awareness display that showed whether each follower was reading the automated transcripts and/or translating a word; or (c) a detailed awareness display that showed which line of the transcripts a follower was reading and/or which words he/she was translating. NS guiders and NNS followers collaborated most successfully with the detailed awareness display, while NS guiders and NS followers performed equally across conditions. Our findings suggest several ways to improve systems to support multilingual collaboration.

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    cover image ACM Conferences
    CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems
    April 2015
    4290 pages
    ISBN:9781450331456
    DOI:10.1145/2702123
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    Published: 18 April 2015

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    Author Tags

    1. automated speech recognition (asr)
    2. awareness display
    3. collaboration
    4. multilingual
    5. translation

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    CHI '15: CHI Conference on Human Factors in Computing Systems
    April 18 - 23, 2015
    Seoul, Republic of Korea

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    CHI '15 Paper Acceptance Rate 486 of 2,120 submissions, 23%;
    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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    • (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
    • (2024) Augmenting Hand Gestures in 3D Mixed Reality Computer‐Supported Collaboration10.1002/9781119719830.ch10(243-268)Online publication date: 24-May-2024
    • (2023)Investigating AI Teammate Communication Strategies and Their Impact in Human-AI Teams for Effective TeamworkProceedings of the ACM on Human-Computer Interaction10.1145/36100727:CSCW2(1-31)Online publication date: 4-Oct-2023
    • (2023)AI-mediated apology in a multilingual work contextComputers in Human Behavior10.1016/j.chb.2022.107592140:COnline publication date: 13-Feb-2023
    • (2022)Improving Non-Native Speakers' Participation with an Automatic Agent in Multilingual GroupsProceedings of the ACM on Human-Computer Interaction10.1145/35675627:GROUP(1-28)Online publication date: 29-Dec-2022
    • (2021)Bridging Fluency Disparity between Native and Nonnative Speakers in Multilingual Multiparty Collaboration Using a Clarification AgentProceedings of the ACM on Human-Computer Interaction10.1145/34795795:CSCW2(1-31)Online publication date: 18-Oct-2021
    • (2020)OScH in the Wild: Dissemination of Open Science Hardware and Implications for HCIProceedings of the 2020 CHI Conference on Human Factors in Computing Systems10.1145/3313831.3376659(1-13)Online publication date: 21-Apr-2020
    • (2019)A proposal of interaction analysis framework for multilingual discussionProceedings of the 10th International Conference on E-Education, E-Business, E-Management and E-Learning10.1145/3306500.3306561(421-426)Online publication date: 10-Jan-2019
    • (2018)Effects of Automated Transcripts on Non-Native Speakers' Listening ComprehensionIEICE Transactions on Information and Systems10.1587/transinf.2017EDP7255E101.D:3(730-739)Online publication date: 2018
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