Abstract: Analysis of the mental states of voters is provided to gauge the effectiveness of political messages. Political advertisements are evaluated as they impact various groups of people. Data is captured for an individual voter or group of voters where the data includes facial information and physiological information. Demographics information can be collected and used as a criterion for rendering the mental states of the voters in a graphical format and is synchronized to the political advertisement. Based on mental state data political advertisements can be optimized and targeted based on political affiliation or political leaning.

Abstract: As an individual or a group of individuals view various types of humor, a webcam, using video capture, collects mental state data from the individual or individuals. The webcam data is analyzed to determine physiological data, facial data, and actigraphy data. Further, the direct collection of physiological data—electrodermal activity, heart rate, heart rate variation, skin temperature, and respiration—from an individual or individuals complements the webcam data. Analysis of this mental state data allows for the accurate comprehension of individual humor preferences and allows the individual's humor preferences to be used by the system to recommend humorous material based on these preferences.

Abstract: Analysis of mental states is provided in order to enable data analysis pertaining to affect-based evaluation of advertisement effectiveness. Advertisements can have various objectives, including entertainment, education, awareness, persuasion, startling, or a drive to action. Data, including facial information, is captured for an individual viewer or group of viewers. Physiological information may also be gathered for the viewer or group of viewers. In some embodiments, demographics information is collected and used as a criterion for rendering the mental states of the viewers in a graphical format. In some embodiments data captured from an individual viewer or group of viewers is used to optimize an advertisement.

Abstract: Analysis of mental states pertaining to concept testing is described. Concepts may be evaluated by seeing a product, seeing a service, seeing a model, viewing an advertisement, and the like. Data which includes facial information is captured for viewers of a concept. Facial and physiological information is gathered for a group of viewers. Demographic information is collected and used as a criterion for evaluating the concept. Data captured from an individual viewer or group of viewers is used to optimize a concept.

Abstract: Analysis of mental states is performed as people view advertisements. Advertisement effectiveness is evaluated based on the analyzed mental states. Learning is then performed to determine the most effective ways to evaluate mental states based on the evaluation methods' ability to project advertisement effectiveness. Effectiveness descriptors are evaluated and statistics are assembled for the advertisements. One or more effectiveness classifiers are determined. Based on the effectiveness descriptors and classifiers, advertisement effectiveness is projected.

Abstract: Disclosed are computer-implemented techniques for analyzing physiology based on electrodermal activity. Initially, an individual's autonomic data is captured into a computer system. The autonomic data provides information for evaluating the physiology of the individual. The autonomic data is captured through at least one sensor. Analysis, based on the autonomic data captured on the individual, is received from a web service. An output related to physiology is rendered based on the analysis which was received.

Abstract: Computer-implemented techniques for clinical analysis using electrodermal activity are disclosed. Initially, an individual's electrodermal activity data is captured into a computer system. The electrodermal activity data is captured through a sensor. Then, this electrodermal activity data provides information on physiology of the individual. Analysis is received from a web service wherein the analysis is based on the electrodermal activity data captured on the individual. An output, related to physiology, is rendered based on the analysis which was received.

Abstract: A biosensor is described which can obtain physiological data from an individual. The biosensor may collect electrodermal activity, skin temperature, and other information. The biosensor may be attached to the body through the use of a garment which may be fastened in multiple locations on the human body. The biosensor includes compensation for electrodermal activity measurements based on the amount of pressure applied to the electrodes that are in contact with the skin. As pressure is increased the electrodermal activity values typically increase. By compensating for the influence that pressure changes have on electrodermal activity, more accurate analysis of physiology and therefore mental state analysis may be performed.

Abstract: Analysis of mental states of voters is provided to enable data analysis pertaining to candidate interactions. Candidate interactions include such things as political debates, political advertisements, news reports, and political speeches. Data is captured for an individual voter or group of voters where the data includes facial information and physiological information. Facial and physiological information is gathered for the group of voters. In some embodiments, demographics information is collected and used as a criterion for rendering the mental states of the voters in a graphical format which is synchronized to the candidate interaction.