• Dines Rae Selvig
4. term, Medialogy, Master (Master Programme)
Prior research suggests and reveals that there is a correlation between human emotional responses and the subjective qualities of digital interactive experiences, using facial analysis done by deep neural networks propose a true non-intrusive way of measuring emotional responses and continuation desire of a player. This thesis proposes a tool to measure emotional responses across eight different emotions and continuation desire in real time of any game. The emotional recognition system achieves an accuracy of 98\% and the continuation desire system achieves 93.3\% accuracy. This forms a strong tool that shows a correlation between emotions and continuation desire, which can be used to evaluate digital interactive experiences, in critical stages of development of said content.
SpecialisationComputer Graphics
Publication date28 May 2019
Number of pages111
ID: 304572276