Paper Info
Title
Come Together: Facilitating Collocated Multilingual Group Discussion with a Language Support Tool.
Abstract
For global organizations, bringing individuals with diverse background together stimulates idea generation as well as extends existing knowledge base, which is beneficial for group productivity. However, native speakers (NS) may dominate cross-lingual teamwork communicating solely in a common language, which may reduce diversity and harm productivity of the whole group. As a solution, we consider it necessary to support non-native speakers' (NNS) contribution for equalizing NS' and NNS' participation. In this study, we examine how recent language support technologies might affect the group dynamics of collocated multilingual teams consisting of multiple NSs and NNSs. In our experiment, quads of two NSs and two NNSs were provided with a language support tool that integrates machine translation, automatic speech recognition and shared display to enable NNSs participating in multilingual teamwork without requiring them to use a common language. Automatic language detection allowed them to dynamically decide what language to use in their group discussions. We found that using the tool increased the variety of languages used (e.g., Chinese, English and Japanese) and had the potential to equalize NS' and NNS' participation.
Year
Venue
Field
2018
CHI Extended Abstracts
Group discussion,Teamwork,Ideation,Computer science,Harm,Machine translation,Human–computer interaction,Language identification,Knowledge base,Multimedia
DocType
ISBN
Citations 
Conference
978-1-4503-5621-3
0
PageRank 
References 
Authors
0.34
6
3
Name
Order
Citations
PageRank
Mei-Ling Chen142.11
Naomi Yamashita253.17
Hao-Chuan Wang329645.80