公开(公告)号：US20220383189A1

公开(公告)日：2022-12-01

申请号：US17554895

申请日：2021-12-17

Applicant: Apple Inc.

Inventor： Joseph Yitan Cheng ,  Amruta Pai ,  Erdrin Azemi ,  Matthias R. Hohmann

IPC: G06N20/00 ,  G06N5/02

Abstract: Methods and systems are provided for predicting cognitive load. A computing device receives sensor measurements from sensors. The sensor measurements correspond to characteristics of a user during the performance of a task. For each sensor, the computing device derives, from the sensor measurements of the sensor, a set of features predictive of the cognitive load of the user; generates, from those features, a self-attention vector that characterizes each feature of the set of features relative to another feature; and defines a feature vector from the features and the self-attention vector. The computing device generates an input feature vector from the feature vector of at least one sensor. The computing device then uses a machine-learning model to generate an indication of the cognitive load of the user during the performance of a task from the feature vector.