The Use of Speech Recognition Technology in Automotive Applications
The research objectives were (1) to perform a detailed review of the literature on speech recognition technology and the attentional demands of driving; (2) to develop decision tools that assist designers of in-vehicle systems; (3) to experimentally examine automatic speech recognition (ASR) de...
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| Format: | Others |
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Virginia Tech
2014
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| Online Access: | http://hdl.handle.net/10919/30373 http://scholar.lib.vt.edu/theses/available/etd-2737102539751141/ |
| Summary: | The research objectives were (1) to perform a detailed
review of the literature on speech recognition technology
and the attentional demands of driving; (2) to develop
decision tools that assist designers of in-vehicle systems;
(3) to experimentally examine automatic speech recognition
(ASR) design parameters, input modalities, and driver
ages; and (4) to provide human factors recommendations
for the use of speech recognition technology in automotive
applications. Two experiments were conducted to
determine the effects of ASR design parameters, input
modality, and age on driving performance, system usability,
and driver preference/acceptance. Eye movement
behavior, steering input behavior, speed maintenance
behavior, reaction time to forward scene event, task
completion time, and task completion errors when driving
and performing in-vehicle tasks were measured. Driver
preference/acceptance subjective data were also recorded.
The results showed that ASR design parameters
significantly affected measures of driving performance,
system usability, and driver preference/acceptance.
However, from a practical viewpoint, ASR design
parameters had a nominal effect on driving performance.
Differences measured in driving performance brought on by
changes in ASR system design parameters were small
enough that alternative ASR system designs could be
considered without impacting driving performance. No
benefits could be claimed for ASR systems improving
driving safety/performance compared to current
manual-control systems. Speech recognition system design
demonstrated a moderate influence on the usability of
in-vehicle tasks. Criteria such as task completion times and
task completion errors were shown to be different between
speech-input and manual-input control methods, and under
different ASR design configurations. Therefore, trade-offs
between ASR system designs, and between speech-input
and manual-input systems, could be evaluated in terms of
usability. Finally, ASR system design had a nominal effect
on driver preference/acceptance. Further research is
warranted to determine if long-term use of ASR systems
with less than optimal design parameters would result in
significantly lower values for driver preference/acceptance
compared to data collected in this research effort. Human
factors recommendations for the use of ASR technology in
automotive applications are included. The
recommendations are based on the empirical research and
the literature review on speech recognition technology and
the attentional demands of driving. === Ph. D. |
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