Evaluation of the effect of feedforward training displays of search strategy on visual search performance

被引:52
|
作者
Nalanagula, D
Greenstein, JS
Gramopadhye, AK
机构
[1] Clemson Univ, Dept Ind Engn, Clemson, SC 29634 USA
[2] Citigrp Real Estate Servicing & Technol, User Interface Design Grp, O Fallon, MO 63304 USA
[3] Clemson Univ, Dept Ind Engn, Clemson, SC 29634 USA
基金
美国国家科学基金会;
关键词
eye movements; search strategy; feedforward training; visual inspection;
D O I
10.1016/j.ergon.2005.11.008
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This Study evaluated the effects of three feedforward training displays on novice visual search performance. Each display depicted the visual search strategy of an expert inspector. A static display, a dynamic display, and a hybrid display were used to instruct novices on Visual search strategy. The hybrid display combined features of the static and dynamic displays. The ensuing search performance of the novice participants was compared to a control group receiving no feedforward information. Analyses of variance revealed a significant treatment effect (F (3,21) = 4.64, p < 0.05). The largest number of defects was detected by the hybrid display group, followed by the dynamic, static, and control groups. Least significant difference multiple comparison analysis revealed that the performance of the hybrid display group was significantly better than that of the control and static display groups, but was not significantly different from the dynamic display group. One reason for this might be that the dynamic and hybrid displays both illustrate the search strategy as it develops, rather than presenting the entire search process at one time, as the static display does. Based on the results of this study, it is recommended that hybrid or dynamic feedforward displays of expert visual search performance be used in the training of novice inspectors on visual inspection tasks, such as those involved in printed circuit board inspection.
引用
收藏
页码:289 / 300
页数:12
相关论文
共 50 条
  • [31] AUTOMATIZATION AND TRAINING IN VISUAL-SEARCH
    CZERWINSKI, M
    LIGHTFOOT, N
    SHIFFRIN, RM
    AMERICAN JOURNAL OF PSYCHOLOGY, 1992, 105 (02): : 271 - 315
  • [32] VISUAL SEARCH PATTERNS OF RADIOLOGISTS IN TRAINING
    THOMAS, EL
    LANSDOWN, EL
    RADIOLOGY, 1963, 81 (02) : 288 - 292
  • [33] Performance and interaction behaviour during visual search on large, high-resolution displays
    Ruddle, Roy A.
    Thomas, Rhys G.
    Randell, Rebecca S.
    Quirke, Phil
    Treanor, Darren
    INFORMATION VISUALIZATION, 2015, 14 (02) : 137 - 147
  • [34] Monochrome versus color softcopy displays for teleradiology: Observer performance and visual search efficiency
    Krupinski, Elizabeth A.
    Roehrig, Hans
    Fan, Jiahua
    Yoneda, Takahiro
    TELEMEDICINE JOURNAL AND E-HEALTH, 2007, 13 (06): : 675 - 681
  • [35] A performance model for visual search
    Reeves, AJ
    Santhi, N
    PERCEPTION, 2002, 31 : 101 - 101
  • [36] Partitioning visual displays aids task-directed visual search
    Haimson, C
    Bothell, D
    Douglass, SA
    Anderson, JR
    HUMAN FACTORS, 2004, 46 (03) : 551 - 566
  • [37] Evaluation of strategies to train visual search performance in professional populations
    Kramer, Michelle R.
    Porfido, Courtney L.
    Mitroff, Stephen R.
    CURRENT OPINION IN PSYCHOLOGY, 2019, 29 : 113 - 118
  • [38] The systematic trajectory search algorithm for feedforward neural network training
    Tseng, Lin-Yu
    Chen, Wen-Ching
    2007 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-6, 2007, : 1174 - 1179
  • [39] Search broadly or search narrowly? Role of knowledge search strategy in innovation performance
    Li, Jian
    Li, Yishu
    Yu, Yue
    Yuan, Ling
    JOURNAL OF KNOWLEDGE MANAGEMENT, 2019, 23 (05) : 809 - 835
  • [40] Search task evaluation and ways to decrease time of visual search
    Steinschneider, T.
    Proceedings of the International Conference on Visual Search, 1988,