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Combination of cognitive and HCI modeling for the design of KDD-based DSS used in dynamic situations

Abstract : Recent work in dynamic decision support systems (DSS) has taken impressive steps toward data preparation and storage, intelligent data mining techniques, and interactive visualization. However, it remains difficult to deal with the uncertainty and complexity generated by the Knowledge Discovery in Databases (KDD). This paper launches the challenge by introducing cognitive modeling for specifying decision-maker behaviors more naturally and intuitively. It consists in introducing cognitive modeling for dynamic situations involving visual KDD-based dynamic DSS. This research work presents an adaptation of a well-known cognitive model under the KDD specificities. We provide cognitive modeling application in visual KDD-based dynamic DSS for the fight against nosocomial infections in an intensive care unit. Finally, we built a series of evaluations verifying the system's utility and usability.
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https://hal-uphf.archives-ouvertes.fr/hal-03280548
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Submitted on : Wednesday, July 7, 2021 - 2:10:20 PM
Last modification on : Tuesday, October 19, 2021 - 11:38:26 AM

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Hela Ltifi, Christophe Kolski, Mounir Ben Ayed. Combination of cognitive and HCI modeling for the design of KDD-based DSS used in dynamic situations. Decision Support Systems, Elsevier, 2015, 78, pp.51-64. ⟨10.1016/j.dss.2015.07.003⟩. ⟨hal-03280548⟩

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