Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)

Modeling the Evaluation of Human-Vehicle Interaction with Multiple Indices

Authors
Pu Li, Chunming Li, Zhiyou Fan
Corresponding Author
Pu Li
Available Online May 2018.
DOI
10.2991/ncce-18.2018.8How to use a DOI?
Keywords
Human-Vehicle Interface; Operating Path; Human-Vehicle Matching Degree; Genetic Algorithm
Abstract

We herein try to improve the human-machine interaction of military vehicles, which need the evaluation model of designing user interface (UI). Current evaluation of UI depended on the measured data of a large number of users, which were time-consuming as well as lacking quantitative evaluation. And there was a little report for evaluating UI of military vehicles. This study modeled the frequency, importance, operation sequence, correlation, uniformity and the operating path the as the evaluation indices. Also, we built the single objective function by weighting the evaluation indices and analyzed the effectiveness of our model.

Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
Series
Advances in Intelligent Systems Research
Publication Date
May 2018
ISBN
10.2991/ncce-18.2018.8
ISSN
1951-6851
DOI
10.2991/ncce-18.2018.8How to use a DOI?
Copyright
© 2018, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Pu Li
AU  - Chunming Li
AU  - Zhiyou Fan
PY  - 2018/05
DA  - 2018/05
TI  - Modeling the Evaluation of Human-Vehicle Interaction with Multiple Indices
BT  - Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018)
PB  - Atlantis Press
SP  - 38
EP  - 44
SN  - 1951-6851
UR  - https://doi.org/10.2991/ncce-18.2018.8
DO  - 10.2991/ncce-18.2018.8
ID  - Li2018/05
ER  -