Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)

Research on Interactive Interface of Intelligent Electronic Medical Testing Equipment

Authors
Xiyuan Wang, Yiyun Zhang
Corresponding Author
Xiyuan Wang
Available Online May 2017.
DOI
10.2991/ammsa-17.2017.92How to use a DOI?
Keywords
component; medical monitoring equipment; human-machine interface; emotional design
Abstract

Purposes: Integrated emotional concept into the innovative design of the human-machine interface of medical monitoring equipment to enhance its ease of use and availability. Methods: Use Donald Norman's three levels of product emotional experience model, Maslow's hierarchy of needs theory and Kansei engineering theory, combined with variety of research methods to tap user's emotional needs. Results: Construct a user emotion needs model for human-machine interface of medical monitoring equipment.

Copyright
© 2017, 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 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
Series
Advances in Intelligent Systems Research
Publication Date
May 2017
ISBN
978-94-6252-355-5
ISSN
1951-6851
DOI
10.2991/ammsa-17.2017.92How to use a DOI?
Copyright
© 2017, 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  - Xiyuan Wang
AU  - Yiyun Zhang
PY  - 2017/05
DA  - 2017/05
TI  - Research on Interactive Interface of Intelligent Electronic Medical Testing Equipment
BT  - Proceedings of the 2017 International Conference on Applied Mathematics, Modelling and Statistics Application (AMMSA 2017)
PB  - Atlantis Press
SP  - 410
EP  - 413
SN  - 1951-6851
UR  - https://doi.org/10.2991/ammsa-17.2017.92
DO  - 10.2991/ammsa-17.2017.92
ID  - Wang2017/05
ER  -