MINIMIZING COGNITIVE OVERLOAD USING DYNAMIC INTERACTION ENVIRONMENT ADJUSTMENT
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United States of America
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Nov 14, 2024
app pub date -
May 10, 2023
filing date -
May 10, 2023
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Abstract
From data of a first interaction environment, user activity data while using the first interaction environment, and user biometric data while using the first interaction environment, a first cognitive load index is generated. A first directed acyclic graph corresponding to the first cognitive load index is generated. Using a graph convolutional network, the first directed acyclic graph, and a second directed acyclic graph generated from a second cognitive load index, a set of cognitive overload causation factors is generated. Using the set of cognitive overload causation factors, the first interaction environment is adjusted.
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