System and method for embedded cognitive state metric system
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Publication Number
US-10108264-B2
Publication Date
2018-10-23
Expiration Date
Abstract
An embodiment of a method for enabling content personalization for a user based on a cognitive state of the user includes providing an interface configured to enable a third party to request cognitive state data of the user as the user interacts with a content-providing source; establishing bioelectrical contact between a biosignal detector and the user; automatically collecting a dataset from the user; generating a cognitive state metric; receiving a request from the third party for cognitive state data; transmitting the cognitive state data to the third party device; and automatically collecting a dataset from the user as the user engaged tailored content.
Core Innovation
The invention enables content personalization for a user based on a cognitive state, using an electroencephalogram (EEG) signal detector and a third party device. An interface is provided so the third party device can request cognitive state data of the user as the user interacts with a third party application or a content-providing source managed by the third party. The EEG signal detector establishes bioelectrical contact between EEG sensors and the user and automatically collects EEG signal datasets as the user engages reference content and then engages interactions with the third party application or tailored content.
The method generates a baseline cognitive state metric from a baseline EEG signal dataset collected during a reference interaction. It also automatically collects additional EEG signal datasets from the user during interactions and generates cognitive state metrics indicative of cognitive state in those interactions. Upon receiving a request from the third party device comprising the cognitive state metric(s), the method transmits the cognitive state data to the third party device so that the third party application presenting tailored content can be based on processing of the baseline cognitive state metric and interaction cognitive state metrics.
The tailored content is based on third party analysis of the cognitive state data and can be presented when the user engages tailored content in a second interaction. Additional cognitive state data can include supplemental data and additional bioelectrical signal datasets collected during engagement with additional applications, and the method supports associating cognitive state metrics with content streams for content-stream association, tagging, and further personalization/search. Rules and permissions govern communications of cognitive state data to third parties, and the method supports notifications based on baseline-versus-current comparisons.
Claims Coverage
The provided set includes two independent claims (clm-00001 and clm-00011). The inventive features center on an EEG detector with specific sensor and housing arrangements for bioelectrical contact, automatic collection of EEG datasets from reference and interaction periods, generation of baseline and interaction cognitive state metrics, third-party interface request and transmission of cognitive state data, and presentation of tailored content in response to the transmitted cognitive state data.
Third-party interface requesting cognitive state data
Providing an interface configured to enable a third party device to request cognitive state data of the user as the user interacts with a third party application managed by the third party, or with a content-providing source managed by the third party.
EEG detector establishing bioelectrical contact and sensor arrangement
Establishing bioelectrical contact between an electroencephalogram (EEG) signal detector and the user, the EEG signal detector comprising a set of sensors configured to detect EEG signals from the user, each sensor in the set of sensors comprising a hydrogel, including an anterior frontal sensor, a temporal lobe sensor, and a central sensor; an electronics subsystem configured to process EEG signals from the set of sensors; a housing configured to be worn at a head region and comprising a set of arms that positions the anterior frontal sensor and temporal lobe sensor upon coupling to the user; and a set of sensor interfaces coupling the set of sensors to the electronics subsystem through the set of arms of the housing.
Baseline EEG dataset collection from reference interaction
Automatically collecting, at the EEG signal detector, a baseline EEG signal dataset from the user as the user engages reference content in a reference interaction; and generating a baseline cognitive state metric indicative of a baseline cognitive state of the user in the reference interaction from the baseline EEG signal dataset.
Interaction EEG dataset collection and cognitive state metric generation
Automatically collecting, at the EEG signal detector, a first EEG signal dataset from the user as the user engages the third party application or content of the content-providing source in a first interaction; and generating a first cognitive state metric indicative of the cognitive state of the user in the first interaction from the first EEG signal dataset.
Receiving request and transmitting cognitive state data to third party
Receiving a request from the third party device for cognitive state data comprising the baseline cognitive state metric and the first cognitive state metric, or a cognitive state metric; and in response to receiving the request, transmitting the cognitive state data to the third party device.
Tailored content presentation based on cognitive state metrics
Upon detection that the user is engaging the third party application or tailored content in a second interaction, presenting tailored content to the user based on processing of the baseline cognitive state metric and the first cognitive state metric, or based on a third party analysis of the cognitive state data.
Across clm-00001 and clm-00011, the claim coverage concentrates on enabling third parties to request EEG-based cognitive state data via an interface, generating baseline and interaction cognitive state metrics from automatically collected bioelectrical signal datasets using an EEG detector with hydrogel sensors and a head-worn housing with arms, transmitting the requested cognitive state data, and using that data to support tailored content in a subsequent interaction.
Stated Advantages
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