Eye movement study on color effects to icon visual search efficiency

被引：15
|
作者：
Gong Y. [1 ]
Zhang S.-Y. [2 ]
Liu Z.-F. [3 ]
Shen F. [1 ]
机构：
[1] Pan Tianshou Arts and Design Academy, Ningbo University, Ningbo
[2] College of Computer Science and Technology, Zhejiang University, Hangzhou
[3] College of Teacher Education, Ningbo University, Ningbo
来源：
Zhejiang Daxue Xuebao (Gongxue Ban)/Journal of Zhejiang University (Engineering Science) | 2016年 / 50卷 / 10期
关键词：
Eye movement; Human-computer interaction; Icon; Visual search;
D O I：
10.3785/j.issn.1008-973X.2016.10.020
中图分类号：
学科分类号：
摘要：
21 subjects were required to complete an icon visual search experiment in order to investigate the effects of number of color and color consistency on icon visual search efficiency, and their behavior and eye movement data were collected. Experimental results show that number of color can affect the icon's search efficiency. The search time and number of fixations for single color icons is obviously less than that for double color icons and three color icons. Color consistency has more obvious impact on icon visual search efficiency. The behavior data and eye movement data show that the visual search efficiency is higher when the colors between icons are not consistent. The less the number of color is, the higher the search efficiency is. Results suggest that increasing the number of color can reduce the icon's visual search efficiency on some level. Using color to enlarge the difference among icons can improve the visual search efficiency more effectively. © 2016, Zhejiang University Press. All right reserved.
引用
收藏
页码：1987 / 1994
页数：7
相关论文
共 42 条
  • [1] Beck M.R., Lohrenz M.C., Trafton J.G., Measuring search efficiency in complex visual search tasks: global and local clutter, Journal of Experimenal Psychology: Applied, 16, 3, pp. 238-250, (2010)
  • [2] Yeh M., Wickens C.D., Attentional filtering in the design of electronic map dispalys: a comparison of color coding, intensity coding, and decluttering techniques, Human Factors, 43, 4, pp. 543-562, (2001)
  • [3] Mccarley J.S., Effects of speed-accuracy instructions on ocularmotor scanning and target recognition in a simulated baggage X-ray screening task, Ergonomics, 52, 3, pp. 325-333, (2009)
  • [4] Mccarley J.S., Kramer A.F., Wickens C.D., Et al., Visual skills in airport-security screening, Psychological Science, 15, 5, pp. 302-306, (2004)
  • [5] Krupinski E.A., Chung A., Applegate K., Et al., Impact of patient photographs on radiologists' visual search of chest radiographs, Academic Radiology, 23, 8, pp. 953-960, (2016)
  • [6] Dukic T., Broberg T., Older drivers' visual search behaviour at intersections, Transportation Research Part F: Traffic Psychology and Behaviour, 15, 4, pp. 462-470, (2012)
  • [7] Konstantopoulos P., Chapman P., Crundall D., Exploring the ability to identify visual search differences when observing drivers's eye movements, Transportation Research Part F: Traffic Psychology and Behaviour, 15, 3, pp. 378-386, (2012)
  • [8] Noro K., Analysis of visual and tactile search in industrial inspection, Ergonomics, 27, 7, pp. 733-743, (1984)
  • [9] Yu R., Chan A.H.S., Visual search time in detection tasks with multiple targets: considering change of the effective stimulus field area, International Jouranl of Industrial Ergonomics, 43, 4, pp. 328-334, (2013)
  • [10] Gong Y., Yang Y., Zhang S.-Y., Et al., Effects of graphical panel layout characteristics on human-computer interactive efficiency, Journal of Computer-Aided Design and Computer Graphics, 24, 9, pp. 1145-1150, (2012)
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