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Comprehensive Evaluation Model and Application of Vehicular Intelligent Voice Assistant
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Fafa Dao, Min Ding, Cancan Yuan, Xiaojun Chen, Xiaoping Li, Song Zhao
Automotive Digest | 2023, (4) : 12 - 17
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Automotive Digest | 2023, (4): 12-17
Special Topic for Selected Papers of China FAW 2022
Comprehensive Evaluation Model and Application of Vehicular Intelligent Voice Assistant
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Fafa Dao, Min Ding, Cancan Yuan, Xiaojun Chen, Xiaoping Li, Song Zhao
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  • FAW-Volkswagen Automobile Co., Ltd., Changchun 130011
Published: 2023-04-05 doi: 10.19822/j.cnki.1671-6329.20220252
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The in-vehicle voice assistant is the first-level entrance for human-computer interaction in the vehicle. The business processing and interaction capabilities of the voice system in comprehensive scenarios greatly affect the user experience. This article elaborates a set of comprehensive evaluation models, which can fully analyze the function points of the vehicle voice system, derive the implementation logic of competing products, and stage evaluations in production. This model includes a set of evaluation use case databases that support the calculation of 103 quantitative indicators, 15 generate non-quantitative indicators and 3 comprehensive indicators. In addition, this model includes full-process indicator analysis tools and other automation tools. In the actual production and application process, the error rate of this model compared with manual evaluation is about 10%, and the automation efficiency is increased by about 70%.

In-vehicle voice  /  Evaluation model  /  Automation  /  User experience
Fafa Dao, Min Ding, Cancan Yuan, Xiaojun Chen, Xiaoping Li, Song Zhao. Comprehensive Evaluation Model and Application of Vehicular Intelligent Voice Assistant[J]. Automotive Digest, 2023 , (4) : 12 -17 . DOI: 10.19822/j.cnki.1671-6329.20220252
Year 2023 volume Issue 4
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doi: 10.19822/j.cnki.1671-6329.20220252
  • Online Date:2026-01-04
  • Published:2023-04-05
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    FAW-Volkswagen Automobile Co., Ltd., Changchun 130011
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表12种不同金属材料的力学参数

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Number of
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种数
Number of
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占总种数比例
Percentage of
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鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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