Clustering of in-vehicle user decision-making characteristics based on density peak

Qing Xue; Qian Zhang; Xuan Han; Jia Hao

doi:10.1007/978-3-319-58475-1_30

Clustering of in-vehicle user decision-making characteristics based on density peak

Qing Xue, Qian Zhang^*, Xuan Han, Jia Hao

^*Corresponding author for this work

School of Mechanical Engineering

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Engineering Psychology and Cognitive Ergonomics
Subtitle of host publication	Cognition and Design - 14th International Conference, EPCE 2017 Held as Part of HCI International 2017, Proceedings
Editors	Don Harris
Publisher	Springer Verlag
Pages	413-425
Number of pages	13
ISBN (Print)	9783319584744
DOIs	https://doi.org/10.1007/978-3-319-58475-1_30
Publication status	Published - 2017
Event	14th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2017, held as part of 19th International Conference on Human-Computer Interaction, HCI 2017 - Vancouver, Canada Duration: 9 Jul 2017 → 14 Jul 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10276 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	14th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2017, held as part of 19th International Conference on Human-Computer Interaction, HCI 2017
Country/Territory	Canada
City	Vancouver
Period	9/07/17 → 14/07/17

Keywords

Cluster analysis
Decision-making characteristics
In-vehicle user

Access to Document

10.1007/978-3-319-58475-1_30

Cite this

Xue, Q., Zhang, Q., Han, X., & Hao, J. (2017). Clustering of in-vehicle user decision-making characteristics based on density peak. In D. Harris (Ed.), Engineering Psychology and Cognitive Ergonomics: Cognition and Design - 14th International Conference, EPCE 2017 Held as Part of HCI International 2017, Proceedings (pp. 413-425). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10276 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-58475-1_30

Xue, Qing ; Zhang, Qian ; Han, Xuan et al. / Clustering of in-vehicle user decision-making characteristics based on density peak. Engineering Psychology and Cognitive Ergonomics: Cognition and Design - 14th International Conference, EPCE 2017 Held as Part of HCI International 2017, Proceedings. editor / Don Harris. Springer Verlag, 2017. pp. 413-425 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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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",

}

Xue, Q, Zhang, Q, Han, X & Hao, J 2017, Clustering of in-vehicle user decision-making characteristics based on density peak. in D Harris (ed.), Engineering Psychology and Cognitive Ergonomics: Cognition and Design - 14th International Conference, EPCE 2017 Held as Part of HCI International 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10276 LNAI, Springer Verlag, pp. 413-425, 14th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2017, held as part of 19th International Conference on Human-Computer Interaction, HCI 2017, Vancouver, Canada, 9/07/17. https://doi.org/10.1007/978-3-319-58475-1_30

Clustering of in-vehicle user decision-making characteristics based on density peak. / Xue, Qing; Zhang, Qian; Han, Xuan et al.
Engineering Psychology and Cognitive Ergonomics: Cognition and Design - 14th International Conference, EPCE 2017 Held as Part of HCI International 2017, Proceedings. ed. / Don Harris. Springer Verlag, 2017. p. 413-425 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10276 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Clustering of in-vehicle user decision-making characteristics based on density peak

AU - Xue, Qing

AU - Zhang, Qian

AU - Han, Xuan

AU - Hao, Jia

N1 - Publisher Copyright: © Springer International Publishing AG 2017.

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Cluster analysis

KW - Decision-making characteristics

KW - In-vehicle user

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U2 - 10.1007/978-3-319-58475-1_30

DO - 10.1007/978-3-319-58475-1_30

M3 - Conference contribution

AN - SCOPUS:85025176014

SN - 9783319584744

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 413

EP - 425

BT - Engineering Psychology and Cognitive Ergonomics

A2 - Harris, Don

PB - Springer Verlag

T2 - 14th International Conference on Engineering Psychology and Cognitive Ergonomics, EPCE 2017, held as part of 19th International Conference on Human-Computer Interaction, HCI 2017

Y2 - 9 July 2017 through 14 July 2017

ER -

Xue Q, Zhang Q, Han X, Hao J. Clustering of in-vehicle user decision-making characteristics based on density peak. In Harris D, editor, Engineering Psychology and Cognitive Ergonomics: Cognition and Design - 14th International Conference, EPCE 2017 Held as Part of HCI International 2017, Proceedings. Springer Verlag. 2017. p. 413-425. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-58475-1_30

Clustering of in-vehicle user decision-making characteristics based on density peak

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Keywords

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