Page 101 - AC/E Digital Culture Annual Report

The conclusion is that the experience is much more intense in the exhibition space than in the controlled environment where the works of art are viewed on a screen.It was also surprising to note that the level of activation produced by an exhibition was some- what superior to what was produced by a lm or multimedia content.Data analysisThe analysis of the signal registered by the sen- sors is totally individualized (by means of the self calibrating statistics and what is deduced from the emotional response of each participant). Computer models are used for this process.Metrics and charts from the studyThis study focused on the analysis of the follow- ing metrics:Emotional metricsEmotional activation: it measures the emotional level by unit of execution time. It varies from rest to excitability.Emotional impact: it measures the variation of emotional intensity by units of time.Execution time: it measures the duration of each task in seconds.Translation of diagram: level of emotional activation. Emotional impact. Execution time.Metrics of behaviorThe density of visitors: a metric that indicates which zones are visited by most subjects without taking into account the time spent in them.Point of interest: metric that represents the amount of time the participants spend in the di erent zones.This study used the following graphics which show the response of the participants in four tasks which were given to people visiting the exhibition. The graphs are in real time.Translation of diagram: visitor density. Points of interest.Translation of diagram: Physiological response. Calibrating stimuli. Physiological response. Learning from the pattern of responses from participant 1. Learning from the pattern of responses from participant 2.Once the parameters of emotion are registered and compared between the participants, the results are added up to obtain an overall result.The advantages of this style of analysis over traditional statistics is:• A high level of accuracy and reliability in the decoding of the emotions.• High speci city of results based on small samples (approximately 10 participants in free tasks.• The possibility of carrying out segmented analysis according to the pro le of the participants.AC/E DIGITAL CULTURE ANNUAL REPORT 2017101Smart culture. Analysis of digital trends