Expertise visualization: An implementation and study based on cognitive fit theory

被引:53
作者
Huang, Zan
Chen, Hsinchun
Guo, Fei
Xu, Jennifer J.
Wu, Soushan
Chen, Wun-Hwa
机构
[1] Penn State Univ, Smeal Coll Business, Dept Supply Chain & Informat Syst, University Pk, PA 16802 USA
[2] Univ Arizona, Eller Coll Management, Dept Management Informat Syst, Tucson, AZ 85721 USA
[3] Bentley Coll, Dept Comp Informat Syst, Waltham, MA 02452 USA
基金
美国国家科学基金会;
关键词
expertise management; information visualization; self-organizing map; multidimensional scaling; visualization evaluation; cognitive fit theory;
D O I
10.1016/j.dss.2006.01.006
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Expertise management systems are being widely adopted in organizations to manage tacit knowledge. These systems have successfully applied many information technologies developed for document management to support collection, processing, and distribution of expertise information. In this paper, we report a study on the potential of applying visualization techniques to support more effective and efficient exploration of the expertise information space. We implemented two widely applied dimensionality reduction visualization techniques, the self-organizing map (SOM) and multidimensional scaling (MDS), to generate compact but distorted (due to the dimensionality reduction) map visualizations for an expertise data set. We tested cognitive fit theory in our context by comparing the SOM and MDS displays with a standard table display for five tasks selected from a low-level, domain-independent visual task taxonomy. The experimental results based on a survey data set of research expertise of the business school professors suggested that using both SOM and MDS visualizations is more efficient than using the table display for the associate, compare, distinguish, and cluster tasks, but not the rank task. Users generally achieved comparable effectiveness for all tasks using the tabular and map displays in our study. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:1539 / 1557
页数:19
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