Abstract: An example system includes a first headset including first sensor to gather first user data from a first subject during exposure to media, the first user data including at least one of psychophysiological data or physiological data; and a first processor to generate first data indicative of an emotional response of the first subject based on the first user data. The example system includes a second headset including a second sensor to gather second user data from the second subject during exposure to the media, the second user data including at least one of psychophysiological data or physiological data; a second processor to generate second data indicative of an emotional response of the second subject based on the second user data and synchronize the second data with the first data to generate synchronized response data; and a second transmitter to transmit the synchronized response data to a central processor.

Abstract: An example system includes a first headset including first sensor to gather first user data from a first subject during exposure to media, the first user data including at least one of psychophysiological data or physiological data; and a first processor to generate first data indicative of an emotional response of the first subject based on the first user data. The example system includes a second headset including a second sensor to gather second user data from the second subject during exposure to the media, the second user data including at least one of psychophysiological data or physiological data; a second processor to generate second data indicative of an emotional response of the second subject based on the second user data and synchronize the second data with the first data to generate synchronized response data; and a second transmitter to transmit the synchronized response data to a central processor.

Abstract: An example system includes a first headset including first sensor to gather first user data from a first subject during exposure to media, the first user data including at least one of psychophysiological data or physiological data; and a first processor to generate first data indicative of an emotional response of the first subject based on the first user data. The example system includes a second headset including a second sensor to gather second user data from the second subject during exposure to the media, the second user data including at least one of psychophysiological data or physiological data; a second processor to generate second data indicative of an emotional response of the second subject based on the second user data and synchronize the second data with the first data to generate synchronized response data; and a second transmitter to transmit the synchronized response data to a central processor.

Abstract: An example system includes a first headset including first sensor to gather first user data from a first subject during exposure to media, the first user data including at least one of psychophysiological data or physiological data; and a first processor to generate first data indicative of an emotional response of the first subject based on the first user data. The example system includes a second headset including a second sensor to gather second user data from the second subject during exposure to the media, the second user data including at least one of psychophysiological data or physiological data; a second processor to generate second data indicative of an emotional response of the second subject based on the second user data and synchronize the second data with the first data to generate synchronized response data; and a second transmitter to transmit the synchronized response data to a central processor.

Abstract: Examples described herein enable “in situ” sensing, which collects and analyzes physiological responses from a large group of viewers/audiences who watch a same media instance together at a single venue. Each of the group of viewers is fitted with physiological sensors with communication capabilities to communicate with a signal collection device at or near the venue. The signal collection device collects the physiological data of the viewers from the sensors, and transmits the physiological data to a processing module at another location via a network for storage and further analysis.

Abstract: Example systems and methods to determine media effectiveness are disclosed. An example system includes a synchronizer to time shift first neuro-response data gathered from an audience member exposed to media a first amount to align the first neuro-response data with second neuro-response data simultaneously gathered from the audience member to form aligned data, the first neuro-response data representing a first response to a first sensory component of the media and the second neuro-response data representing a second response to a second sensory component of media. The synchronizer is to time shift the second neuro-response data a second amount. The first amount is based on a first cognitive delay of a brain of the audience member and the second amount is based on a second cognitive delay of the brain. The example system includes an analyzer to determine an effectiveness of the media based on the aligned data.

Abstract: Example systems and methods to determine media effectiveness are disclosed. An example system includes a synchronizer to time shift first neuro-response data gathered from an audience member exposed to media a first amount to align the first neuro-response data with second neuro-response data simultaneously gathered from the audience member to form aligned data, the first neuro-response data representing a first response to a first sensory component of the media and the second neuro-response data representing a second response to a second sensory component of media. The synchronizer is to time shift the second neuro-response data a second amount. The first amount is based on a first cognitive delay of a brain of the audience member and the second amount is based on a second cognitive delay of the brain. The example system includes an analyzer to determine an effectiveness of the media based on the aligned data.

Abstract: Examples described herein enable “in situ” sensing, which collects and analyzes physiological responses from a large group of viewers/audiences who watch a same media instance together at a single venue. Each of the group of viewers is fitted with physiological sensors with communication capabilities to communicate with a signal collection device at or near the venue. The signal collection device collects the physiological data of the viewers from the sensors, and transmits the physiological data to a processing module at another location via a network for storage and further analysis.

Abstract: Example systems, methods and machine readable media are disclosed. An example system includes a synchronizer to determine a total amount to offset first-neuro-response data gathered from a subject exposed to media to align the first neuro-response data with second neuro-response data simultaneously gathered from the subject. The first neuro-response data is associated with a first sensory component of the media and the second neuro-response data is associated with a second sensory component of the media. The total amount to offset is based on a first cognitive delay associated with the first neuro-response data and a second cognitive delay associated with the second neuro-response data. The synchronizer is to time shift at least one of the first neuro-response data or the second neuro-response based on the total amount to form aligned data. The example system includes an analyzer to determine an effectiveness of the media based on the aligned data.

Abstract: Embodiments described herein enable “in situ” sensing, which collects and analyzes physiological responses from a large group of viewers/audiences who watch a same media instance together at a single venue. Each of the group of viewers is fitted with physiological sensors with communication capabilities to communicate with a signal collection device at or near the venue. The signal collection device collects the physiological data of the viewers from the sensors, and transmits the physiological data to a processing module at another location via a network for storage and further analysis.

Abstract: Example systems, methods and machine readable media are disclosed. An example system includes a synchronizer to determine a total amount to offset first-neuro-response data gathered from a subject exposed to media to align the first neuro-response data with second neuro-response data simultaneously gathered from the subject. The first neuro-response data is associated with a first sensory component of the media and the second neuro-response data is associated with a second sensory component of the media. The total amount to offset is based on a first cognitive delay associated with the first neuro-response data and a second cognitive delay associated with the second neuro-response data. The synchronizer is to time shift at least one of the first neuro-response data or the second neuro-response based on the total amount to form aligned data. The example system includes an analyzer to determine an effectiveness of the media based on the aligned data.

Abstract: Example systems, methods and machine readable media are disclosed. An example system includes a synchronizer to time shift first response data gathered from a subject exposed to media a first amount to align the first response data with second response data simultaneously gathered from the subject to form aligned data. The first response data is associated with a first component of the media, and the second response data is associated with a second component of media. The example system also includes an analyzer to determine an effectiveness of the media based on the aligned data.

Abstract: Various embodiments of the present disclosure create a novel system for rating an event in a media based on the strength of the emotions viewers feel towards the event. The viewer's responses to the media can be measured and calculated via physiological sensors. The metric for rating the strength of the media is created based on the mathematical coherence of change (up or down) of all pertinent physiological responses across multiple viewers. Such rating offers an objective ability to compare the strengths of events of the media, as there is a strong correlation between high coherence of physiological responses (all viewers feel the same thing at the same time) and strong ratings of emotionality, engagement, likeability, success in the marketplace/on screen.

Abstract: Various embodiments of the present invention enable a bottom up analysis approach that derives physiological responses from measured physiological data of viewers of a media, and calculates scores of instances of an event type based on the physiological responses. The scores are then aggregated to rate the event type in addition to scoring the individual event instances. The approach can also form an overall rating of the media by aggregating the event ratings of set of event types within the media.

Abstract: A system and method for calculating an engagement value by quantifying an amount that a user is acting without thinking considering brainwaves and a heart rate can be used to compare media based on an individual or a group of individuals. Events of the media can be contrasted and compared by the engagement value as well. Statistical measurements may be taken to improve media.

Abstract: Various embodiments of the present disclosure create a novel system for rating an event in a media based on the strength of the emotions viewers feel towards the event. The viewer's responses to the media can be measured and calculated via physiological sensors. The metric for rating the strength of the media is created based on the mathematical coherence of change (up or down) of all pertinent physiological responses across multiple viewers. Such rating offers an objective ability to compare the strengths of events of the media, as there is a strong correlation between high coherence of physiological responses (all viewers feel the same thing at the same time) and strong ratings of emotionality, engagement, likeability, success in the marketplace/on screen.

Abstract: A system and method for calculating a valence value captures an individual's positive or negative response to a media by considering alpha asymmetry of the individual's brain. This valence value can be used to compare media based on an individual or a group of individuals. Events of the media can be contrasted and compared by the valence value as well. Statistical measurements may be taken to improve media.

Abstract: Example systems, methods and machine readable media are disclosed. An example system includes a synchronizer to time shift first response data gathered from a subject exposed to media a first amount to align the first response data with second response data simultaneously gathered from the subject to form aligned data. The first response data is associated with a first component of the media, and the second response data is associated with a second component of media. The example system also includes an analyzer to determine an effectiveness of the media based on the aligned data.

Abstract: Embodiments are described that enable remote and interactive access, navigation, and analysis of reactions from viewers to a media instance. The reactions include physiological responses, survey results, verbatim feedback, event-based metadata, and derived statistics for indicators of success and failure from the viewers. The reactions are aggregated, and an interface enables remote access and navigation of the media instance, aggregated physiological responses synchronized with the media instance, survey results, and/or verbatim feedback related to the media instance. This enables users to interactively divide, dissect, parse, and analyze the reactions as they prefer. This automation provides an automated process enabling non-experts to understand complex physiological data, and to organize presentation of complex data according to their needs so as to present conclusions as appropriate to the media instance.

Abstract: Embodiments are described that enable remote and interactive access, navigation, and analysis of reactions from viewers to a media instance. The reactions include physiological responses, survey results, verbatim feedback, event-based metadata, and derived statistics for indicators of success and failure from the viewers. The reactions are aggregated, and an interface enables remote access and navigation of the media instance, aggregated physiological responses synchronized with the media instance, survey results, and/or verbatim feedback related to the media instance. This enables users to interactively divide, dissect, parse, and analyze the reactions as they prefer. This automation provides an automated process enabling non-experts to understand complex physiological data, and to organize presentation of complex data according to their needs so as to present conclusions as appropriate to the media instance.