Exploring computer-based multilingual negotiation support for English – Chinese dyads: can we negotiate in our native languages? † ‡

Lim, John; Yang, Yanjiang

doi:10.1080/01449290601111135

Cited by 15 publications

(14 citation statements)

References 48 publications

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“…Previous work on multilingual collaboration suggests that using MT may benefit team collaboration. Lim and Yang [25] found that English-Chinese speaking dyads worked together on a negotiation task performed better using MT vs. English as a common language. Wang and colleagues [41] found that Chinese speaking participants generated more ideas when using MT rather than English as a common language.…”

Section: Related Work and Hypothesesmentioning

confidence: 99%

Two is Better Than One

Gao

Hau

et al. 2015

Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work &Amp; Social Computing

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Machine translation (MT) creates both opportunities and challenges for multilingual collaboration: While MT enables collaborators to communicate via their native languages, it can introduce errors that make communication difficult. In the current paper, we examine whether displaying two alternative translations for each message will improve conversational grounding and task performance. We conducted a laboratory experiment in which monolingual native English speakers collaborated with bilingual native Mandarin speakers on a map navigation task. Each dyad performed the task in one of three communication conditions: MT with single output, MT with two outputs, and English as a common language. Dyads given two translations for each message communicated more efficiently, and performed better on the task, than dyads given one translation. Our findings show the value of providing multiple translations in multilingual collaboration, and suggest design features of future MT-based collaboration tools.

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Section: Related Work and Hypothesesmentioning

confidence: 99%

Two is Better Than One

Gao

Hau

et al. 2015

Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work &Amp; Social Computing

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“…Because interpretation is expensive, many potential multilingual meetings are not convened, or participants attempt to use a common tongue like English (Fügen et al, 2007;Jenkins, 2007;Nickerson, 2005). However, non-native speakers often have problems using a second language, and most feel more comfortable with their own (Fujii et al, 2005;Lim and Yang, 2008).…”

Section: Introductionmentioning

confidence: 97%

Enhancing bilingual electronic group meeting comprehension with round-trip translations

Aiken

Park

2009

IJISCM

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Multilingual groups can use electronic meeting technology to automatically translate typed comments into several languages, but participants cannot be sure how well their comments are understood by those speaking other languages unless a translation preview is provided. Here, we describe a multilingual meeting system that presents to each user a round-trip translation (RTT) after each comment is typed, allowing them to revise a comment if the preview is poor. In a study of how English speakers use the system with automatic translation to German, results showed that the participants thought the system and the preview feature were useful in a multilingual meeting. Those using the feature better estimated the accuracy of the German translations than those who did not use RTT, and there was a significant, positive correlation between the forward translations to German and the back translations to English, indicating that the accuracy can be predicted and comprehension can be enhanced in a bilingual meeting.Reference to this paper should be made as follows: Aiken, M. and Park, M. (2009) 'Enhancing bilingual electronic group meeting comprehension with round-trip translations', Int.Mina Park graduated with a PhD in Management Information Systems from the University of Mississippi. Currently, she is an Assistant Professor of MIS in the School of Business at Northern State University, South Dakota. Her primary research interests include all aspects of multilingual electronic meeting systems, and she has extensive experience facilitating multilingual discussions. Currently, she is investigating how very large multilingual groups can use the technology, how the technology can be used with mobile devices and how users can interactively influence translation quality.

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“…In recent years, machine translation (MT) technology has made it possible, in principle, for members of multilingual organizations to interact via their own native languages [e.g., 15]. MT tools should theoretically be able to eliminate many of the problems created by use of a common language, such as concerns about fluency or subgroup splintering.…”

Section: Introductionmentioning

confidence: 99%

Same translation but different experience

Gao

Wang

Cosley

et al. 2013

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

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Machine translation (MT) has the potential to allow members of multilingual organizations to interact via their own native languages, but issues with the quality of MT output have made it difficult to realize this potential. We hypothesized that highlighting keywords in MT output might make it easier for people to overlook translation errors and focus on what was intended by the message. To test this hypothesis, we conducted a laboratory experiment in which native English speakers interacted with a Mandarin-speaking confederate using machine translation. Participants performed three brainstorming tasks, under each of three conditions: no highlighting, keyword highlighting, and random highlighting. Our results indicated that people consider the identical messages clearer and less distracting when keywords in the message are highlighted. Keyword highlighting also improved subjective impressions of the partner and the quality of the collaboration. These findings inform the design of future tools to support multilingual communication.

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Exploring computer-based multilingual negotiation support for English – Chinese dyads: can we negotiate in our native languages? † ‡

Cited by 15 publications

References 48 publications

Two is Better Than One

Two is Better Than One

Enhancing bilingual electronic group meeting comprehension with round-trip translations

Same translation but different experience

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