![]() ![]() ![]() This world-wide box office success manages to grip the audience by stripping their cinematic world of sound, and by doing so we as viewers are taken on a roller-coaster ride of fear, suspense and imaginary horrors.Īs we get deeper into the analysis we will use examples from the movies to illustrate how emotional data can be used. One film that really understands how to use silence to build tension is John Krasinski’s A Quiet Place. For that, it would be more useful to actually analyze the response your content will give your viewers and match accordingly. Some of these are Birdbox (Bier, 2018) where monsters kill everything able to see them, or The Silence, which is basically the Netflix version of A Quiet Place, but with a creepy cult subplot.īut if it’s a buildup of tension your viewers are in the mood for, simply looking at the plot alone won’t cut it. We saw this not only in A Quiet Place, but as a trend in several films coming out around the same time. Nothing is as scary as your own imagination, and as you’re filling in the blanks, you become more intimately attached to the film.By removing one of our senses from the story, horror filmmakers are able to immerse us by making us hyperaware. By stripping a scene of sound, a void is created that audience members will have to fill themselves in order to make sense of what is currently happening. One of the greatest tools used to build tension and create an emotional impact in filmmaking is silence. Silence To Create Suspense in Horror Movies If you understand the kind of tension and suspense one movie generates, it would be a shame to pair it up with something that simply fails to build up the same response within the viewer. One challenge services face today is that viewers often feel the content recommendations they get within a service doesn’t live up to their expectations. Why is this important? When streaming services have a deeper understanding of the content in their libraries, they are able to better understand their users and present them with a viewer experience they keep wanting to come back to. It can also measure things like color, pacing, audio and object recognition. Their system outputs a vast variety of variables such as how stressful a scene is or whether it evokes positive or negative emotions, and this information can be used to determine the emotional impact of a scene. What is Vionlabs’ Emotional Data Analysis and how can it be used to analyze content? Through machine learning trained on human input, Vionlabs is able to predict people’s reactions to video content. With data like this, services can finally give their viewers what they actually want. In this article, we will use Vionlabs’ Emotional Data Analysis to compare two movies that from a traditional metadata perspective are basically the same movie, but as the data will show, are actually quite different. That is why it’s so important to understand content on a deeper level and use that data to improve the streaming experience. Because of the current recommendation algorithms used by many services today, the titles being recommended are often misleading and viewer satisfaction will therefore suffer. With vast content libraries, viewers struggle to find great content they are in the mood for amidst the increasing overflow of titles presented to them. Streaming services today face many challenges. A movie recommendation like this is bound to make expectations go unmet. But these two movies will not necessarily have the same emotional impact on the viewer. With this (if you are lucky), it’s very likely that if you’ve watched A Quiet Place (Krasinski, 2018) and really enjoyed it, The Silence (Leonetti, 2019) will be recommended to you because of its similar genre and high-level plot. To present you with content you would like to watch, streaming services today use recommendation algorithms based on traditional metadata. For movie enthusiasts across the globe who have seen both movies, the answer to the question posed by the title of this article might be fairly straightforward.
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