TY - JOUR
T1 - Understanding and attenuating decision bias in the use of model advice and other relevant information
AU - Jones, Donald R.
AU - Wheeler, Patrick
AU - Appan, Radha
AU - Saleem, Naveed
PY - 2006/12
Y1 - 2006/12
N2 - A human judge faced with model advice, modeled information (used by the model to compute the advice), and unmodeled information (known by the human but not included in the model) should use a "divide-and-conquer" strategy in which the human judge relies completely on the model to process the modeled information and focuses all energy on assessing and adjusting for the unmodeled information [D.R. Jones, D. Brown, The division of labor between human and computer in the Presence of Decision Support System Advice, Decision Support Systems 33 (2002) 375-388]. This paper extends Jones and Brown [D.R. Jones, D. Brown, The division of labor between human and computer in the Presence of Decision Support System Advice, Decision Support Systems 33 (2002) 375-388] in two studies. In Study 1, we find that, in lieu of the divide-and-conquer strategy, human judges give weight to all three types of inputs and that giving weight to the modeled information degrades performance. In Study 2, we find that (1) as strategies approach the divide-and-conquer strategy judgment performance improves, and (2) the divide-and-conquer strategy can be encouraged by a combination of instruction and a decision support feature. Application of these results could improve judgment in a variety of important contexts.
AB - A human judge faced with model advice, modeled information (used by the model to compute the advice), and unmodeled information (known by the human but not included in the model) should use a "divide-and-conquer" strategy in which the human judge relies completely on the model to process the modeled information and focuses all energy on assessing and adjusting for the unmodeled information [D.R. Jones, D. Brown, The division of labor between human and computer in the Presence of Decision Support System Advice, Decision Support Systems 33 (2002) 375-388]. This paper extends Jones and Brown [D.R. Jones, D. Brown, The division of labor between human and computer in the Presence of Decision Support System Advice, Decision Support Systems 33 (2002) 375-388] in two studies. In Study 1, we find that, in lieu of the divide-and-conquer strategy, human judges give weight to all three types of inputs and that giving weight to the modeled information degrades performance. In Study 2, we find that (1) as strategies approach the divide-and-conquer strategy judgment performance improves, and (2) the divide-and-conquer strategy can be encouraged by a combination of instruction and a decision support feature. Application of these results could improve judgment in a variety of important contexts.
KW - Decision making
KW - Decision strategies
KW - Judgment bias
KW - Model advice
UR - http://www.scopus.com/inward/record.url?scp=33750464855&partnerID=8YFLogxK
U2 - 10.1016/j.dss.2006.05.001
DO - 10.1016/j.dss.2006.05.001
M3 - Article
AN - SCOPUS:33750464855
VL - 42
SP - 1917
EP - 1930
JO - Decision Support Systems
JF - Decision Support Systems
SN - 0167-9236
IS - 3
ER -