Open AccessUser Preference of Different Artificial Intelligence Level in Vehicle System
Author(s) -
Jun Ma,
Yuanyang Zuo,
Zaiwu Gong
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/440/4/042090
Subject(s) - preference , computer science , artificial intelligence , process (computing) , test (biology) , marketing and artificial intelligence , human–computer interaction , intelligent decision support system , paleontology , economics , biology , microeconomics , operating system
With the development of artificial intelligence technology, the functional requirements of the vehicle central control panel becomes various and abundant. This work studies the preference degree of the user’s in different artificial intelligence level, which is of great significance to the application research of artificial intelligence technology in the car interaction design. This paper uses the driving simulation test method to conduct experiments. Through the qualitative research on 20 users, the Chinese users’ preference has been studied, which provides a new research content for the application of artificial intelligence technology in the driving process.