A Guide to Scientific Evaluation in Information Visualization

被引:11
作者
Forsell, Camilla [1 ]
机构
[1] Linkoping Univ, Norrkoping, Sweden
来源
2010 14TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV 2010) | 2010年
关键词
Information Visualization; evaluation; experimental research;
D O I
10.1109/IV.2010.33
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper addresses some fundamental and practical issues that should be considered when pursuing evaluation studies in Information Visualization. The main focus is on quantitative experimental research but the general information applies to all kinds of studies. The purpose is to increase awareness of what constitutes a sound scientific approach to evaluation and to point out common pitfalls and mistakes during the phases of such study. These phases cover how to plan, design, conduct and analyse the outcome of an evaluation and finally how to report in a way that enhances readability, provides details relevant to the outcome and that allows replication. The paper could be used as a guide when conducting evaluation and it could also be helpful when reviewing publications since the same rules apply.
引用
收藏
页码:162 / 169
页数:8
相关论文
共 23 条
[1]  
[Anonymous], INT S INF VIS EV
[2]  
[Anonymous], 2003, DESIGN REPORT EXPT
[3]  
BELIV' 06. BEyond time and errors: novel evaLuation methods for Information Visualization, 2006, WORKSH AVI 2006 INT
[4]  
BELIV' 08. BEyond time and errors: novel evaLuation methods for Information Visualization, 2008, WORKSH ACM CHI 2008
[5]  
BELIV' 10. BEyond time and errors: novel evaLuation methods for Information Visualization, 2010, WORKSH ACM CHI 2010
[6]  
Carpendale S, 2008, LECT NOTES COMPUT SC, V4950, P19, DOI 10.1007/978-3-540-70956-5_2
[7]   Empirical evaluation of information visualizations: an introduction [J].
Chen, CM ;
Czerwinski, MP .
INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, 2000, 53 (05) :631-635
[8]  
Chen CM, 2005, IEEE COMPUT GRAPH, V25, P12, DOI 10.1109/MCG.2005.91
[9]  
Dumas JS., 2008, MODERATING USABILITY
[10]  
Field A., 2018, Discovering statistics using R