Viewers’ emotions central to Médiamétrie’s cinema measurement

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For 76% of viewers, cinema is a vector for emotions above all else.* For many years, Médiamétrie has been following viewers’ patterns and has been analysing their experience at the cinema. For the first time in France, Médiamétrie is taking its analyses of viewers’ emotions further, using technology developed by Datakalab. This solution measures emotions expressed by viewers facing a screen while being shown a trailer or a film.

 

Marine Boulanger, Director of Cinema & Entertainment at Médiamétrie explains: “This emotional data supports and provides more detail for viewer data collected by our studies. It provides an even clearer response about the attractiveness and potential of a film, or the effectiveness of a trailer.”

 

Conclusive results

The faces of consenting viewers are filmed, then their attention level and peaks of positive emotions are retranscribed as graphs. This solution highlights the most intense moments experienced by the viewer.

 

In May and June of 2019, Médiamétrie used this approach online to test the trailers of different genres: French comedy, animation and action films. The faces of 900 people were filmed through their computer webcam to record their emotional reactions as they watched a trailer.

Médiamétrie also used this approach for the showing of a French comedy in a Paris cinema.

 

The emotions felt by the viewers during the film and their consistency with the film’s genre are the key pieces of information that allow the field’s professionals to optimise editing and validating of an effective trailer, perfecting its marketing strategy and communications.

 

Marine Boulanger adds: “The battle for attention over video content is growing fiercer. The commercial stakes in film are paramount and it is crucial to offer the best content possible by verifying its effectiveness.”

 

Innovative technology

To implement this initiative, Médiamétrie has partnered with Datakalab, a French braintech start-up specialised in quantifying facial reactions. Deep learning, a branch of artificial intelligence, allows Datakalab to measure the attention and emotions of viewers through cameras set on both sides of the cinema screen.

 

Xavier Fischer, Datakalab Director: “We are delighted with our Médiamétrie partnership. We can already see the value created through the combination of declarative and emotional data. Médiamétrie’s cinema expertise allows us to create the best product for this particular market and to harness our technology in the best way possible."

 

 

 

* Source: Médiamétrie - 2018 Cinema Year - SVoD Barometer January 2019

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Confidence interval calculus

Sample size or target in the sample

n =

Proportion observed in the sample or on a target in the sample

p =

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Warning: only applies to a proportion. The Average Rate is an average of proportions and the Audience Share a ratio of proportions. This tool is provided for information purposes. It cannot be applied for professional purposes without further precautions.

Test of significance of the differences between two proportions

Used to assess whether the difference between 2 proportions is significant at the 95% threshold

Proportion

Sample size

1st sample

%

2nd sample

%

Warning: only applies to a proportion. The Average Rate is an average of proportions and the Audience Share a ratio of proportions. This tool is provided for information purposes. It cannot be applied for professional purposes without further precautions.

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