@inproceedings{0606d362eba547c98313afa638373292,
title = "Clustering of in-vehicle user decision-making characteristics based on density peak",
abstract = "In this paper, we designed the simulated combat experiment to obtain the decision of the participants. Combining with the characteristics of the decision - making in the combat procedure and combat task, the fuzzy recognition model was established to obtain the model user characteristic matrix. The decision-making characteristics clustering analysis of density peak is the foundation for the design of adaptive in-vehicle user interface based on user decision-making characteristics.",
keywords = "Cluster analysis, Decision-making characteristics, In-vehicle user",
author = "Qing Xue and Qian Zhang and Xuan Han and Jia Hao",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 14th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2017, held as part of 19th International Conference on Human-Computer Interaction, HCI 2017 ; Conference date: 09-07-2017 Through 14-07-2017",
year = "2017",
doi = "10.1007/978-3-319-58475-1_30",
language = "English",
isbn = "9783319584744",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "413--425",
editor = "Don Harris",
booktitle = "Engineering Psychology and Cognitive Ergonomics",
address = "Germany",
}