Affiliation:
1. State Key Laboratory of Nuclear Power Safety Technology and Equipment Shenzhen China
2. School of Design Art & Medial Nanjing University of Science & Technology Nanjing China
3. Lab of Human Factors and Information System Interaction & Design Hohai University Changzhou China
Abstract
AbstractWith the rapid development of digital and intelligent information systems, the display of visual information on interfaces has become an important challenge in the field of human‐computer interaction, as well as the human‐computer interface of nuclear power plants. This paper examines effective factors affecting visual attention capture based on icons related to the human‐computer interface of nuclear power plants. Experiments were conducted on multiple factors of visual search tasks with reference to information features to analyze information display factors affecting visual cognitive performance. The experimental results showed that the three factors, icon shape, feature display, and target position, have a great effect on information searching performance. The main effect of reaction time on three factors all reached a significance level congruent with the effect on fixation time and pupil response. Eye gaze indexes of feature display factors presented an increasing trend, which indicates that the information block spends more time on cognitive processing than icon features in the human‐computer interface of nuclear power plants. Pupil diameter was dilated when searching icons under difficult visual cognition conditions, and when searching information blocks, pupils were dilated more than searching single icons. Therefore, shape highlighting of data icons in the human‐computer interface of nuclear power plants can effectively improve the attention capture of the operator's visual search, and the ease of icon discrimination is an influential factor in visual attention capture.
Funder
National Natural Science Foundation of China
Subject
Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials
Reference44 articles.
1. Information encoding in human‐computer Interface on the equilibrium of time pressure;Li J;J Comput Aided Design Comput Graph,2013
2. Information visual structure based on multidimensional attributes of information;Li J;J Southeast Univ (Natural Science Edition),2012
3. Research of Interface Composition Design Optimization Based on Visual Balance
4. Aesthetic evaluation method of Interface elements layout design;Zhou L;J Computer‐Aided Design Comput Graph,2013
5. A New Method Of Building An Evaluation Model For User Interface;Jin T;3rd Interactional Conference On Machinery, Materials Science And Engineering Applications,2013