It was 2:00 AM, and my phone rang.

“Get down in 15 minutes. I will pick you up.”

:said, my friend.

Why? What? What’s happened?”

:I replied.

“New Game of Thrones episode. We have to watch. NOW!”

:he replied in broken sentences.

It was 3:00 AM, I was staring at the black screen and credits were passing before my eyes. There was not even any music to mend the wounds from the “red wedding”. It took us some hours to soak it in, however, the scar has not faded yet.

Last night, the “Battle of Winterfell” was released. Everyone knew it is going to be big. Normally, we watch new episodes with other colleagues together. However, this time was a bit different. We decided to use some of our tools on our colleagues because we were expecting some deep reactions.

“what if we use the artificial intelligence to assess the level of excitement, interest, engagement and sincerity in the reactions?”: I said.

Well, I think you can imagine what happened next. We placed microphones in the conference room and recorded the audience throughout the screening. Then we passed the acquired data to ExamAIner which is a web application using the emotion recognition audEERING technology in the backend.

Using this method, we could measure all emotion levels for each of the reactions. Thus, we came up with a graph for the level of excitement, interest, and engagement throughout the episode.

Now, I took this data, and send it to my friend who picked me up to watch red wedding some years ago. This time I could share exactly how exciting, engaging and interesting this episode was without even spoiling a single scene.

I know it might sound really nerdy, but we love to play with our toys ^_^ Besides that, imagine the applications of such tools for fields like market research. Using such tools, you can tap into the most natural and basic responses and reactions of your audience.