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: 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 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.