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Method of Real-time Audience Feedback Analysis using a Smart Watch and Social Media Disclosure Number: IPCOM000238793D
Publication Date: 2014-Sep-18
Document File: 2 page(s) / 68K

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The Prior Art Database


Disclosed is a method of real-time feedback analytics based on data captured from a smart watch and social media comments during a live event.

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Method of Real-time Audience Feedback Analysis using a Smart Watch and Social Media

Participants and other key stakeholders of live events (e.g., political speeches/debates, concerts, sporting events, lectures, focus groups, etc.) seek feedback from the audience in order to determine the success of the event, the opinions of the audience, and other points for consideration. It is often desirable to analyze this feedback using different demographics and/or specific portions of the event.

Current known solutions for collecting audience responses and feedback (e.g., sound meter, sentiment dial, social media, show of hands, etc.) in real time have valid and useful purposes. In each case, the feedback is explicit; it requires the user to perform a specific action (e.g., adjust a dial, enter a social media post, raise a hand, etc.). However, these solutions do not capture some implicit types of feedback that can be correlated from finger and hand gestures and biometrics such as heart rate. Implicit feedback has value in determining audience reactions.

A system or method is needed to collect real-time audience feedback for analysis and correlation with the objective of capitalizing on the knowledge learned from the audience.

The novel contribution is a method and system to use a smart watch and social media to collect and analyze audience feedback in real time. The smart watch captures and transmits real-time feedback from event participants. The data captured is processed using analytics to identify correlations or patterns in relation to a specific segment of the event. The audience participants can automatically post feedback to social media for the event.

The event participant wears a smart watch. The smart watch must include a location- based service capability to allow the system to identify the location of the participant at the event. A sensor installed in smart watch tracks muscle movement by measuring the force applied in a wearer's wrist muscle. The sensor correlates finger and hand gestures (see examples in figure below) and measures the duration of the gesture. If the user is clapping, the system registers the sound. In addition to a user's hand gestures, the sensor automatically captures biometrics information for heart rate, as an implicit measure of the user's sentiment during the event. For accuracy, the smart watch can be trained and calibrated to a given user.

Figure: Finger and hand gestures

The syst...