Effects of visualizing uncertainty on decision-making in a target identification scenario

被引:24
作者
Riveiro, Maria [1 ]
Helldin, Tove [1 ]
Falkman, Goran [1 ]
Lebram, Mikael [1 ]
机构
[1] Univ Skovde, Informat Res Ctr, Skovde, Sweden
来源
COMPUTERS & GRAPHICS-UK | 2014年 / 41卷
关键词
Uncertainty visualization; Decision-making; Confidence; Performance; Workload; Target identification; INFORMATION; SYSTEM; SUPPORT;
D O I
10.1016/j.cag.2014.02.006
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
This paper presents an empirical study that addresses the effects the visualization of uncertainty has on decision-making. We focus our investigations on an area where uncertainty plays an important role and the decision time is limited. For that, we selected an air defense scenario, where expert operators have a few minutes to make a well-informed decision based on uncertain sensor data regarding the identity of an object and where the consequences of a late or wrong decision are severe. An approach for uncertainty visualization is proposed and tested using a prototype that supports the interactive analysis of multivariate spatio-temporal sensor data. The uncertainty visualization embeds the accuracy of the sensor data values using the thickness of the lines in the graphical representation of the sensor values. Semi-transparent filled circles represent the uncertain position, while a track quality value between 0 and 1 accounts for the quality of the estimated track for each target. Twenty-two experienced air traffic operators were divided into two groups (with and without uncertainty visualization) and carried out identification and prioritization tasks using the prototype. The results show that the group aided by visualizations of uncertainty needed significantly fewer attempts to make a final identification, and a significant difference between the groups when considering the identities and priorities assigned was observed (participants with uncertainty visualization selected higher priority values and more hostile and suspect identities). These results may show that experts put themselves in the "worst-case scenario" in the presence of uncertainty when safety is an issue. Additionally, the presentation of uncertainty neither increased the participants' expressed workload, nor the time needed to make a classification. However, the inclusion of the uncertainty information did not have a significant effect on the performance (true positives, false negatives and false positives) or the participants' expressed confidence in their decisions. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:84 / 98
页数:15
相关论文
共 54 条
[1]  
Andre AD, 1998, HUM FAC ERG SOC P, P31
[2]  
[Anonymous], 1988, 3 INT GEOGR INF SYST
[3]  
[Anonymous], UCGIS WORKSH GEOSP V
[4]  
Atoyan H., 2008, P 20 INT C ASS FRANC, P41
[5]   Comparing Uncertainty Visualizations for a Dynamic Decision-Making Task [J].
Bisantz, Ann M. ;
Cao, Dapeng ;
Jenkins, Michael ;
Pennathur, Priyadarshini R. ;
Farry, Michael ;
Roth, Emilie ;
Potter, Scott S. ;
Pfautz, Jonathan .
JOURNAL OF COGNITIVE ENGINEERING AND DECISION MAKING, 2011, 5 (03) :277-293
[6]  
British Ministry of Defence, 2004, TECHNICAL REPORT
[7]  
Carpendale S, 2008, LECT NOTES COMPUT SC, V4950, P19, DOI 10.1007/978-3-540-70956-5_2
[8]   Procedural annotation of uncertain information [J].
Cedilnik, A ;
Rheingans, P .
VISUALIZATION 2000, PROCEEDINGS, 2000, :77-84
[9]   Design and evaluation of a decision support system in a water balance application [J].
Cliburn, DC ;
Feddema, JJ ;
Miller, JR ;
Slocum, TA .
COMPUTERS & GRAPHICS-UK, 2002, 26 (06) :931-949
[10]  
Deitrick S, 2006, PROGR SPATIAL DATA H