TY - GEN
T1 - Applied visual analytics for economic decision-making
AU - Savikhin, Anya
AU - Maciejewski, Ross
AU - Ebert, David S.
PY - 2008/12/1
Y1 - 2008/12/1
N2 - This paper introduces the application of visual analytics techniques as a novel approach for improving economic decision making. Particularly, we focus on two known problems where subjects' behavior consistently deviates from the optimal, the Winner's and Loser's Curse. According to economists, subjects fail to recognize the profit-maximizing decision strategy in both the Winner's and Loser's curse because they are unable to properly consider all the available information. As such, we have created a visual analytics tool to aid subjects in decision making under the Acquiring a Company framework common in many economic experiments. We demonstrate the added value of visual analytics in the decision making process through a series of user studies comparing standard visualization methods with interactive visual analytics techniques. Our work presents not only a basis for development and evaluation of economic visual analytic research, but also empirical evidence demonstrating the added value of applying visual analytics to general decision making tasks.
AB - This paper introduces the application of visual analytics techniques as a novel approach for improving economic decision making. Particularly, we focus on two known problems where subjects' behavior consistently deviates from the optimal, the Winner's and Loser's Curse. According to economists, subjects fail to recognize the profit-maximizing decision strategy in both the Winner's and Loser's curse because they are unable to properly consider all the available information. As such, we have created a visual analytics tool to aid subjects in decision making under the Acquiring a Company framework common in many economic experiments. We demonstrate the added value of visual analytics in the decision making process through a series of user studies comparing standard visualization methods with interactive visual analytics techniques. Our work presents not only a basis for development and evaluation of economic visual analytic research, but also empirical evidence demonstrating the added value of applying visual analytics to general decision making tasks.
UR - http://www.scopus.com/inward/record.url?scp=72849114006&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=72849114006&partnerID=8YFLogxK
U2 - 10.1109/VAST.2008.4677363
DO - 10.1109/VAST.2008.4677363
M3 - Conference contribution
AN - SCOPUS:72849114006
SN - 9781424429356
T3 - VAST'08 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings
SP - 107
EP - 114
BT - VAST'08 - IEEE Symposium on Visual Analytics Science and Technology, Proceedings
T2 - IEEE Symposium on Visual Analytics Science and Technology, VAST'08
Y2 - 21 October 2008 through 23 October 2008
ER -