期刊名称:Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度:2010
卷号:2010
出版社:ACL Anthology
摘要:Speech recognition affords automobile
drivers a hands-free, eyes-free method of
replying to Short Message Service (SMS)
text messages. Although a voice search
approach based on template matching has
been shown to be more robust to the challenging
acoustic environment of automobiles
than using dictation, users may have
difficulties verifying whether SMS response
templates match their intended
meaning, especially while driving. Using a
high-fidelity driving simulator, we compared
dictation for SMS replies versus
voice search in increasingly difficult driving
conditions. Although the two approaches
did not differ in terms of driving
performance measures, users made about
six times more errors on average using
dictation than voice search.