The Internet has made it easy for anyone to express their thoughts. It started with emails, usenet groups, blogs, and, now, social networking sites like Facebook and Twitter. At the same time, how one expresses oneself has also evolved from purely textual messages to simple media (pictures) to more complex multi-media (sound, video, pictures together) content. This trend will continue, adding to our information overload.
Those who express themselves are interested in knowing how people react to their thoughts, opinions or artistic expressions. The interest in feedback on one’s work can range from curiosity to business criticality. However, prevalent feedback mechanism for multimedia content is still in the form of comments that one has to scroll through and surmise the context. Any correlation to the original video is in the form of 3 minutes and 5 seconds I saw such and such and here is my comment on that. That is just old school!
Now, imagine, if you commented on a video about a certain spot and stated this move is cool. For the next viewer, this does not mean anything unless you describe it OR state exactly where in the video it is (e.g. 3 mins, 5 secs). Similarly, while watching a training video, a question pops in your head that you want to ask the author of the video. It is not efficient to do this with mere comments though that’s the way it is done today. Or, what if you missed attending a webinar and are now watching a recording of it and would also like to answer the questions popped in the webinar when it was delivered live. This can keep the webinar interesting for you instead of watching a monotonous video. It is clear that interacting with video needs to get more sophisticated than just commenting on them.
kPoint strives to solve this problem by making interaction of training videos easy and intuitive.