Patent ID: 9224175
Filing Date: 2015-12-29
Classification: G06N,G06Q,G07C,H04N

Abstract:
1. A system configured to collect naturally expressed affective responses for training an emotional response predictor utilizing voting on content, comprising: a voting mechanism configured to receive a vote from a user upon the user consuming a segment of content; wherein the user provides the vote via one or more of the following mechanisms: a like voting mechanism, a dislike voting mechanism, a star rating mechanism, a numerical rating mechanism, an up voting mechanism, a down voting mechanism, a ranking mechanism, and a mechanism for entering comments comprising data representing text; a label generator configured to receive the vote and an indication of a duration during which the user consumed the segment of content; the label generator is further configured to: determine that the duration is shorter than a predetermined threshold, and utilize the vote to generate a label related to an emotional response to the segment; and a training module configured to receive the label and an affective response measurement of the user taken with a sensor coupled to the user while the user consumed the segment of content, and to train the emotional response predictor with the measurement and the label; wherein the measurement is taken, at least in part, during a period that starts at most 30 seconds before the vote is provided.