Measuring cognitive load
First Claim
1. A computer implemented method for measuring a person'"'"'s cognitive load, comprising the steps of:
- receiving two or more input data streams from an interface being used by a person while performing a task;
identifying predetermined “
meta-interaction features”
based on the task from the two or more input data streams;
identifying predetermined “
meta-interaction patterns”
from the “
meta-interaction features”
from two or more selected input data streams, including at least a first “
meta-interaction pattern”
identified from a predetermined combination of co-occurring “
meta-interaction features”
from two or more selected input data streams to form the predetermined combination;
weighting each of the identified predetermined “
meta-interaction patterns”
based on the task to produce respective outputs; and
fusing the outputs to produce a measure indicating the person'"'"'s cognitive load.
1 Assignment
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Accused Products
Abstract
This invention concerns a method for measuring cognitive load of a person in performing a task. In other aspects the invention can be expressed as a computer and as software that are used to perform the method. The computer (50) has an interface having a plural number of unimodal input (20, 30 to 40) and output devices, and a cognitive load analyzer (50). The analyzer comprises a receiver to receive input data signal streams (25, 35 and 45) from respective devices (20, 30 and 40). A classifier (56 to 59), (66 to 69) and (76 to 79) is also provided to identify predetermined “meta-interaction patterns” from the streams (25, 35 and 45), and to weight the identified predetermined “meta-interaction patterns” to produce respective weighted outputs. A combiner (80) to fuse the outputs to produce a measure indicating the person'"'"'s cognitive load.
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Citations
24 Claims
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1. A computer implemented method for measuring a person'"'"'s cognitive load, comprising the steps of:
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receiving two or more input data streams from an interface being used by a person while performing a task; identifying predetermined “
meta-interaction features”
based on the task from the two or more input data streams;identifying predetermined “
meta-interaction patterns”
from the “
meta-interaction features”
from two or more selected input data streams, including at least a first “
meta-interaction pattern”
identified from a predetermined combination of co-occurring “
meta-interaction features”
from two or more selected input data streams to form the predetermined combination;weighting each of the identified predetermined “
meta-interaction patterns”
based on the task to produce respective outputs; andfusing the outputs to produce a measure indicating the person'"'"'s cognitive load. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16)
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17. A computer to measure a person'"'"'s cognitive load while performing a task comprising an interface having unimodal input and output devices, the computer configured to execute computer readable medium, wherein the computer readable medium stores software instructions for a cognitive load analyzer, the cognitive load analyzer comprising:
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a receiver to receive two or more input data streams from the unimodal input devices; a set of feature extractors to extract predetermined “
meta-interaction features”
from the two or more input data streams;a classifier to identify predetermined “
meta-interaction patterns”
based on the task from “
meta-interaction features,”
wherein “
meta-interaction patterns”
have “
meta-interaction features”
from two or more data input streams, including at least a first “
meta-interaction pattern”
identified from a predetermined combination of co-occurring “
meta-interaction features”
selected from two or more input data steams to form the predetermined combination and to weight the identified predetermined “
meta-interaction patterns”
based on the task to produce respective weighted outputs; anda combiner to fuse the outputs to produce a measure indicating the person'"'"'s cognitive load. - View Dependent Claims (18, 19, 20, 21, 22, 23, 24)
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Specification