Abstract: Analysis of mental states is provided to enable data analysis pertaining to videos. A video is embedded within a web-enabled interface which enables collecting mental state data. This web-enabled interface is then distributed and information on mental states is collected. Data is captured from viewers of the video where the data includes facial information and/or physiological data. Facial and physiological information may be gathered for a group of viewers. In some embodiments, demographics information is collected and used as a criterion for visualization of affect responses to videos.

Abstract: Analysis of mental states is provided to enable data analysis pertaining to video recommendation based on affect. Video response may be evaluated based on viewing and sampling various videos. Data is captured for viewers of a video where the data includes facial information and/or physiological data. Facial and physiological information may be gathered for a group of viewers. In some embodiments, demographics information is collected and used as a criterion for visualization of affect responses to videos. In some embodiments, data captured from an individual viewer or group of viewers is used to rank videos.

Abstract: Mental state data is collected as a person interacts with a game machine. Analysis is performed on this data and mental state information and affect are shared across a social network. The affect of a person can be represented to the social network or gaming community in the form of an avatar. Recommendations can be based on the affect of the person. Mental states can be analyzed by web services which may, in turn, modify the game.

Abstract: Mental state information is collected from an individual through video capture or capture of sensor information. The sensor information can be of electrodermal activity, accelerometer readings, skin temperature, or other characteristics. The mental state information may be collected over a period of time and analyzed to determine a mood of the individual. An individual may share their mental state information across a social network. The individual may be asked to elect whether to share their mental state information before it is shared.

Abstract: Mental state information is collected as a person interacts with a rendering such as a website or video. The mental state information is collected through video capture or capture of sensor information. The sensor information can be of electrodermal activity, accelerometer readings, skin temperature, or other characteristics. The mental state information is uploaded to a server and aggregated with other people's information so that collective mental states are associated with the rendering. The aggregated mental state information is displayed through a visual representation such as an avatar.

Abstract: Analysis of mental states is provided using web services to enable data analysis. Data is captured for an individual where the data includes facial information and physiological information. Analysis is performed on a web service and the analysis is received. The mental states of other people may be correlated to the mental state for the individual. Other sources of information may be aggregated where the information may be used to analyze the mental state of the individual. Analysis of the mental state of the individual or group of individuals is rendered for display.

Abstract: A server computer (102) in a communication system (100) provides updated software programs to client computers (102) independent of the type of client (104) and the type of server (102). A polymorphic master object (300) has a predetermined structure known to all servers (102) and clients (104). Upon connection of the client (104) to the server (102), the server (102) provides the master object (300) to the client (104). The polymorphic master object (300) includes fields that indicate polymorphic package files that are available for transfer to the client (104). One such field is a distributed install file that includes, in a text format, instructions for instantiating the selected package file. Upon receipt, either the user or the client selects package file. The client (104) provides a request to the server (102) for the selected file, which the server (102) provides to the client (104). Using the distributed install file, the client (104) instantiates the selected package file.