Currently available in-vehicle speech recognition systems are designed around a single-utterance command paradigm, with as many as 200 commands that must be learned or referenced in a manual-an unpractical option while driving. The combination of a flexible dialogue-based speech system with a visual and haptic touch screen, while still an area of active research, provides the opportunity for an intuitive and effective multimodal interface for vehicles.
%0 Journal Article
%1 PieracciniDayanidhiEtAl04cacm
%A Pieraccini, Roberto
%A Dayanidhi, Krishna
%A Bloom, Jonathan
%A Dahan, Jean-Gui
%A Phillips, Michael
%A Goodman, Bryan R.
%A Prasad, K. Venkatesh
%D 2004
%J Communications of the ACM
%K 01801 acm paper ai multimodal interface user interaction speech recognition dialog automotive zzz.sds
%N 1
%P 47--49
%R 10.1145/962081.962104
%T Multimodal Conversational Systems for Automobiles
%V 47
%X Currently available in-vehicle speech recognition systems are designed around a single-utterance command paradigm, with as many as 200 commands that must be learned or referenced in a manual-an unpractical option while driving. The combination of a flexible dialogue-based speech system with a visual and haptic touch screen, while still an area of active research, provides the opportunity for an intuitive and effective multimodal interface for vehicles.
@article{PieracciniDayanidhiEtAl04cacm,
abstract = {Currently available in-vehicle speech recognition systems are designed around a single-utterance command paradigm, with as many as 200 commands that must be learned or referenced in a manual-an unpractical option while driving. The combination of a flexible dialogue-based speech system with a visual and haptic touch screen, while still an area of active research, provides the opportunity for an intuitive and effective multimodal interface for vehicles.},
added-at = {2012-05-30T10:52:15.000+0200},
author = {Pieraccini, Roberto and Dayanidhi, Krishna and Bloom, Jonathan and Dahan, Jean-Gui and Phillips, Michael and Goodman, Bryan R. and Prasad, K. Venkatesh},
biburl = {https://www.bibsonomy.org/bibtex/2f8c84862b67c1c4708d7d0434e285e0b/flint63},
doi = {10.1145/962081.962104},
file = {ACM Digital Library:2000-04/PieracciniDayanidhiEtAl04cacm.pdf:PDF},
groups = {public},
interhash = {e762fa145ee5b4ced11987aa1d41e034},
intrahash = {f8c84862b67c1c4708d7d0434e285e0b},
issn = {0001-0782},
journal = {Communications of the ACM},
keywords = {01801 acm paper ai multimodal interface user interaction speech recognition dialog automotive zzz.sds},
number = 1,
pages = {47--49},
timestamp = {2018-04-16T11:30:48.000+0200},
title = {Multimodal Conversational Systems for Automobiles},
username = {flint63},
volume = 47,
year = 2004
}