Zhang, J., Su, D. ORCID: 0000-0002-9541-8869, Zhuang, Y. and Qiu, F.,
2020.
Study on cognitive load of OM interface and eye movement experiment for nuclear power system.
Nuclear Engineering and Technology, 52 (1), pp. 78-86.
ISSN 1738-5733
|
Text
1295931_Su.pdf - Published version Download (2MB) | Preview |
Abstract
The operation and monitoring (OM) interface is the digital medium between nuclear power system and operators. The cognitive load of OM interface has an important effect on the operation errors made by operator during OM task between operator and computer. The cognitive load model of OM interface is constructed for analysing the composition and influencing factors of OM interface cognitive load. And to study the coping strategies and methods for cognitive load of nuclear power system. An experiment method based on eye movement is proposed to measure the cognitive load of OM interface. Experiment case is carried out with 20 subjects and typical OM interface of a nuclear power system simulator. The OM interface is optimized based on the experiment results. And the results comparison between the original OM interface and the optimized OM interface shows that the cognitive load model and proposed method is valuable contributions in reducing the cognitive load and improving the interaction efficiency of OM tasks.
Item Type: | Journal article | ||||||
---|---|---|---|---|---|---|---|
Publication Title: | Nuclear Engineering and Technology | ||||||
Creators: | Zhang, J., Su, D., Zhuang, Y. and Qiu, F. | ||||||
Publisher: | Elsevier | ||||||
Date: | January 2020 | ||||||
Volume: | 52 | ||||||
Number: | 1 | ||||||
ISSN: | 1738-5733 | ||||||
Identifiers: |
|
||||||
Rights: | Copyright: © 2019 Korean Nuclear Society, Published by Elsevier Korea LLC. This is an open access article under the CC BY-NC-ND license http://creativecommons.org/licenses/by-nc-nd/4.0/). | ||||||
Divisions: | Schools > School of Architecture, Design and the Built Environment | ||||||
Record created by: | Jonathan Gallacher | ||||||
Date Added: | 24 Feb 2020 10:09 | ||||||
Last Modified: | 24 Feb 2020 10:09 | ||||||
URI: | https://irep.ntu.ac.uk/id/eprint/39264 |
Actions (login required)
![]() |
Edit View |
Views
Views per month over past year
Downloads
Downloads per month over past year