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• W2893827171 abstract "Advances in computing technology continue to improve the recommendation quality from decision support systems (DSSs). Typically, recommendations from DSSs are communicated to a human decision maker who has the ultimate decision authority. It is imperative that DSS recommendations receive proper consideration to improve decision outcomes. The current research investigates how decision makers cognitively process evidence items. Also, order effects are analyzed to determine how decision makers align their decisions with DSS recommendations depending upon when in a sequence system recommendations are presented. Results from two laboratory experiments suggest that continuous streams of evidence are processed as short series of evidence items. Constraining evidence item analysis to a single question failed to reduce complexity. In the experiments, people aligned their decisions with the system’s decision most frequently when the system’s decision was displayed last in a sequence, indicating a recency effect." @default.
• W2893827171 created "2018-10-05" @default.
• W2893827171 creator A5059132954 @default.
• W2893827171 creator A5086886295 @default.
• W2893827171 date "2018-09-27" @default.
• W2893827171 modified "2023-09-25" @default.
• W2893827171 title "Supporting Better Decisions: How Order Effects Influence Decision Support System Alignment" @default.
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• W2893827171 doi "https://doi.org/10.1093/iwc/iwy022" @default.
• W2893827171 hasPublicationYear "2018" @default.
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