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: Example methods, systems, apparatus and machine readable media are disclosed to identify candidate media events for modification. An example method includes dividing a media instance into components and correlating physiological response data from a subject exposed to the media with the components to form correlated data. The example method also includes processing the correlated data to identify transitions representative of changes in a subject response. The example method also includes parsing the components a plurality of events based on the transitions. In addition, the example method includes identifying events of the plurality of events as candidates for modification based on the changes in the subject response.

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: A novel approach enables an event-based framework for evaluating a media instance based on key events of the media instance. First, physiological responses are derived and aggregated from the physiological data of viewers of the media instance. The key events in the media instance can then be identified, wherein such key events drive and determine the viewers' responses to the media instance. Causal relationship between the viewers' responses to the key events and their surveyed feelings about the media instance can further be established to identify why and what might have caused the viewers to feel the way they do.

Abstract: Various embodiments of the present invention 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 novel approach enables an event-based framework for evaluating a media instance based on key events of the media instance. First, physiological responses are derived and aggregated from the physiological data of viewers of the media instance. The key events in the media instance can then be identified, wherein such key events drive and determine the viewers' responses to the media instance. Causal relationship between the viewers' responses to the key events and their surveyed feelings about the media instance can further be established to identify why and what might have caused the viewers to feel the way they do.

Abstract: A novel approach enables comparing and aggregating physiological responses from viewers to a time-variant media. This approach defines key events in the media, measures physiological response to and timing of each of the key events for each viewer of the media, aggregates such response for each key event, reconnects these events in the order they occur, and creates a “profile” of the piece of media. This profile can then be used to accurately gauge the responses from the viewers as when the viewers are engaged in the media and when they are not engaged. Subsequently, such profile can be used to define what needs to be changed in the media to generate the desired responses from the viewers.

Abstract: A system and method for calculating an objective thought value by contrasting alpha suppression and theta activation in response to stimulus by a media 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 thought value as well. Statistical measurements may be taken to improve 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: 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: 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: Various embodiments of the present invention 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.