Effects of public vs. private automated transcripts on multiparty communication between native and non-native english speakers

Author:

Gao Ge1,Yamashita Naomi2,Hautasaari Ari MJ2,Echenique Andy3,Fussell Susan R.4

Affiliation:

1. NTT Communication Science Labs, Kyoto, Kyoto, Japan & Cornell University, Ithaca, NY, USA

2. NTT Communication Science Labs, Kyoto, Kyoto, Japan

3. NTT Communication Science Lab, Kyoto, Kyoto, Japan & University of California, Irvine, Irvine, CA, USA

4. Cornell University, Ithaca, NY, USA

Publisher

ACM

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3. The Sound of Support: Gendered Voice Agent as Support to Minority Teammates in Gender-Imbalanced Team;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

4. Is the Same Performance Really the Same?: Understanding How Listeners Perceive ASR Results Differently According to the Speaker's Accent;Proceedings of the ACM on Human-Computer Interaction;2024-04-17

5. MeetScript: Designing Transcript-based Interactions to Support Active Participation in Group Video Meetings;Proceedings of the ACM on Human-Computer Interaction;2023-09-28

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