DETECTING COGNITIVE BIASES IN INTERACTIONS WITH ANALYTICS DATA

The present disclosure relates to methods, systems, and non-transitory computer-readable media for determining a cognitive, action-selection bias of a user that influences how the user will select a sequence of digital actions for execution of a task. For example, the disclosed systems can identify,...

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Bibliographische Detailangaben
Hauptverfasser: Dubey, Raja Kumar, Goyal, Navita, Asija, Tanay, Dhamnani, Sunny, Sinha, Atanu R, Viswanathan, Kaarthik Raja Meenakshi, Theocharous, Georgios
Format: Patent
Sprache:eng
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Zusammenfassung:The present disclosure relates to methods, systems, and non-transitory computer-readable media for determining a cognitive, action-selection bias of a user that influences how the user will select a sequence of digital actions for execution of a task. For example, the disclosed systems can identify, from a digital behavior log of a user, a set of digital action sequences that correspond to a set of sessions for a task previously executed by the user. The disclosed systems can utilize a machine learning model to analyze the set of sessions to generate session weights. The session weights can correspond to an action-selection bias that indicates an extent to which a future session for the task executed by the user is predicted to be influenced by the set of sessions. The disclosed systems can provide a visual indication of the action-selection bias of the user for display on a graphical user interface.