Paper Info
Title
Effects of public vs. private automated transcripts on multiparty communication between native and non-native english speakers
Abstract
Real-time transcripts generated by automated speech recognition (ASR) technologies have the potential to facilitate communication between native speakers (NS) and non-native speakers (NNS). Previous studies of ASR have focused on how transcripts aid NNS speech comprehension. In this study, we examine whether transcripts benefit multiparty real-time conversation between NS and NNS. We hypothesized that ASR transcripts would be more beneficial when the transcripts were publicly shared by all group members as opposed to when they were seen only by the NNS. To test our hypothesis, we conducted a lab experiment in which 14 groups of native and non-native speakers engaged in a story-telling task. Half of the groups received private transcripts that were available only to the NNS; the other half received publicly shared transcripts that were available to all group members. NS spoke more clearly, and both NS and NNS rated the quality of communication higher, when transcripts were publicly shared. These findings inform the design of future tools to support multilingual group communication.
Year
DOI
Venue
2014
10.1145/2556288.2557303
CHI
Keywords
Field
DocType
multiparty communication,non-native speaker,real-time transcript,future tool,multiparty real-time conversation,asr transcript,automated speech recognition,transcripts aid nns speech,private automated transcript,multilingual group communication,group member,non-native english speaker,native speaker
Conversation,Computer science,Communication in small groups,Natural language processing,Artificial intelligence,Comprehension
Conference
Citations 
PageRank 
References 
12
0.70
12
Authors
5
Name
Order
Citations
PageRank
Ge Gao1716.12
Naomi Yamashita225127.56
Ari MJ Hautasaari3151.08
Andy Echenique4283.66
Susan R. Fussell52266208.15