Seeking information with an information visualization system: a study of cognitive styles

被引:0
作者
Yuan, Xiaojun [1 ]
Zhang, Xiangman [2 ]
Chen, Chaomei [3 ]
Avery, Joshua M. [1 ]
机构
[1] SUNY Albany, Coll Comp & Informat, Albany, NY 12222 USA
[2] Wayne State Univ, Sch Lib & Informat Sci, Detroit, MI 48202 USA
[3] Drexel Univ, Coll Informat Sci & Technol, Philadelphia, PA 19104 USA
来源
INFORMATION RESEARCH-AN INTERNATIONAL ELECTRONIC JOURNAL | 2011年 / 16卷 / 04期
关键词
INDIVIDUAL-DIFFERENCES; VERBAL-IMAGERY; PERSONALITY; KNOWLEDGE; SUPPORT; DESIGN;
D O I
暂无
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
Introduction. This study investigated the effect of cognitive styles on users' information-seeking task performance using a knowledge domain information visualization system called CiteSpace. Method. Sixteen graduate students participated in a user experiment. Each completed an extended cognitive style analysis wholistic-analytic test (the Extended CSA-WA test) on cognitive style, and then conducted eight tasks in the CiteSpace system. Analysis. Users' behaviour and performance data were analysed using statistical techniques to explore the relationships among various measures. The techniques include Pearson Correlation, multivariate analysis of variance, Pearson Chi-squared test and non-parametric tests such as Wilcoxon signed-rank test. Results. Results demonstrated that users' cognitive styles did impact their search performance. The wholistic-Analytic ratio obtained from the cognitive test is significantly correlated with result correctness. After dividing the subjects into two groups based on the median wholistic-analytic ratio, analysis showed that subjects with wholistic preference felt significantly more satisfied with results than those with analytic preference. Additionally, subjects with analytic preference found significantly more correct answers than those with wholistic preference. Conclusions. These results indicated that cognitive style is an important factor in the study of information science and human-computer interaction. Research in this area provides valuable indication of future information system design.
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页数:32
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