Journal of Systems Engineering and Electronics ›› 2022, Vol. 33 ›› Issue (4): 924-937.doi: 10.23919/JSEE.2022.000090
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收稿日期:2021-01-11接受日期:2022-06-28出版日期:2022-08-30发布日期:2022-08-30
Optimization method for a radar situation interface from error-cognition to information feature mapping
Xiaoli WU1,2,3(
), Wentao WEI1,*(), Sabrina CALDWELL4(), Chengqi XUE2(), Linlin WANG2()
- 1 School of Design Art & Media, Nanjing University of Science & Technology, Nanjing 210094, China
2 School of Mechanical Engineering, Southeast University, Nanjing 211189, China
3 College of Mechanical and Electrical Engineering, Hohai University, Changzhou 211100, China
4 School of Computer Science, Australian National University, Canberra 2600, Australia
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Received:2021-01-11Accepted:2022-06-28Online:2022-08-30Published:2022-08-30 -
Contact:Wentao WEI E-mail:wuxlhhu@163.com;weiwentao@njust.edu.cn;sabrina.caldwell@anu.edu.au;ipd_xcq@seu.edu;353248644@qq.com -
About author:|WU Xiaoli was born in 1980. She received her Ph.D. degree in 2015 from the College of Mechanical Engineering, Southeast University. She is currently a professor and doctoral supervisor in the School of Design Art & Media, Nanjing University of Science & Technology (NJUST). She had a one-year experience of research scholar in the the Research School of Computer Science, Australian National University. She mainly engages in human-computer interaction and visualization design research. E-mail:
wuxlhhu@163.com ||WEI Wentao was born in 1989. He received his Ph.D. degree from the College of Computer Science and Technology, Zhejiang University, Hangzhou, China, in 2018. He is currently a lecturer with the School of Design Art & Media, Nanjing University of Science and Technology, Nanjing, China. His current research interests include natural user interaction, biomedical signal processing and deep learning. E-mail:
weiwentao@njust.edu.cn ||CALDWELL Sabrina received her Ph.D. degree from the College of Arts and Social Sciences and College of Engineering and Computer Science, Australian National University. She is currently a researcher at Australian National University. She received her second Ph.D. degree in 2017, undertaken in the School of Computer Science. Her area of research is photography, specifically photo credibility. E-mail:
sabrina.caldwell@anu.edu.au ||XUE Chengqi was born in 1961. He received his Ph.D. degree from the College of Mechanical Engineering, Southeast University in 1988. He is a professor and a doctoral supervisor working in the School of Mechanical Engineering, Southeast University, China. His research intrests include industrial product design and usability engineering and man-machine interface design. E-mail:
ipd_xcq@seu.edu ||WANG Linlin was born in 1995. She received her M.S. degree in 2018 from the School of Mechanical and Electrical Engineering, Hohai University. She is currently a Ph.D. candidate in the School of Mechanical Engineering, Southeast University. She is engaged in the research on visualization method and evaluation mechanism of intelligent interactive interface with human-computer fusion. E-mail:
353248644@qq.com -
Supported by:This work was supported by Jiangsu Province Nature Science Foundation of China (BK20221490), the Key Fundamental Research Funds for the Central Universities (30920041114), the National Natural Science Foundation of China (52175469;71601068), the Key Research and Development (Social Development) Project of Jiangsu Province (BE2019647), and Jiangsu Province Social Science Foundation of China (20YSB013).
引用本文
. [J]. Journal of Systems Engineering and Electronics, 2022, 33(4): 924-937.
Xiaoli WU, Wentao WEI, Sabrina CALDWELL, Chengqi XUE, Linlin WANG. Optimization method for a radar situation interface from error-cognition to information feature mapping[J]. Journal of Systems Engineering and Electronics, 2022, 33(4): 924-937.
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| Interface | Task | |||
| Task of monitoring interface A | A1 monitor/discover | A2 inquire state | A3 plan response | A4 execute response |
| Display format of information B | B1 dynamic display | B2 static display | B3 navigation | B4 status data |
| B5 information icon | B6 alarm reminder | |||
| Cognitive behavior C | C1 search | C2 recognize | C3 identify | C4 judge＆select |
| C5 make decisions | ||||
| Error factor D | D1 ignorance | D2 omission | D3 miss | D4 misreading |
| D5 misjudgment | D6 misunderstanding | D7 haven’t seen | D8 confusion | |
| D9 cannot remember | D10 input error | D11 misregistration | D12 cannot see clearly | |
| D13 hard to distinguish | D14 match incorrectly | D15 cannot find | D16 delay | |
| D17 inadequate | D18 irrelevant | D19 react too early | D20 no reaction | |
| D21 select incorrectly | D22 slip | |||
| Representation of error E | E1 ambiguity states | E2 visual limitation | E3 visual bluntness | E4 visual illusion |
| E5 attentional load | E6 visual disturbance | E7 overattention | E8 attention shift and distraction | |
| E9 too nervous to do anything | E10 cognitive bias | E11 unreasonable match | E12 weak visibility | |
| E13 thinking load | E14 forget | E15 inaccurate recall | E16 lack of memory aids | |
| E17 intentionality | E18 false memory | E19 unconsciousness | E20 omission caused by inattention | |
| E21 time pressure | ||||
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| Information feature | Monitoring/discovery | Status inquiry | Response planning | Response execution |
| cq1 | 0.55 | 0.25 | 0.125 | 0.175 |
| cq2 | 0.35 | 0.45 | 0.08 | 0.12 |
| cq3 | 0.25 | 0.55 | 0.175 | 0.025 |
| cq4 | 0.35 | 0.35 | 0.125 | 0.175 |
| cq5 | 0.25 | 0.25 | 0.375 | 0.175 |
| cq6 | 0.125 | 0.225 | 0.35 | 0.3 |
| cq7 | 0.375 | 0.325 | 0.155 | 0.145 |
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| Information feature | Monitoring/discovery | Status inquiry | Response planning | Response execution |
| pi | 0.55 | 0.25 | 0.125 | 0.175 |
| 1/pi | 1.82 | 4.00 | 8.00 | 5.71 |
| log2 (1/pi) | 0.86 | 2.00 | 3.00 | 2.51 |
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| Objective constraint | RMC | Information capacity | Visual flow | Graphic-element relation | Task level | Relative weight |
| RMC | 1 | 3 | 2 | 1/2 | 1/3 | 0.170 |
| Information capacity | 1/3 | 1 | 1/2 | 1/3 | 1/5 | 0.068 |
| Visual flow | 1/2 | 2 | 1 | 1/2 | 1/3 | 0.118 |
| Graphic-element relation | 2 | 3 | 2 | 1 | 1/2 | 0.237 |
| Task level | 3 | 5 | 3 | 2 | 1 | 0.407 |
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