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The Impact of In-Vehicle Voice Interaction System on Driving Safety
Author(s) -
Jun Ma,
Yining Ding
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1802/4/042083
Subject(s) - computer science , human–computer interaction , speech recognition
The development of intelligent connected vehicle (ICV) makes voice interaction an important interaction method in the car. The voice interaction system supports natural speech recognition and can complete a large number of secondary tasks. This paper is based on the Chinese market and 5 ICVs are screened out. Application scenarios for voice interaction systems are constructed through pre-survey. Using simulated driving platform which can be connected with mass-produced vehicle, data on visual demand can be obtained. From the visual demand aspects, the corresponding indicators are selected to analyze the impact of in-vehicle voice interaction system on driving safety.

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