Multimedia documents such as text, images, sounds or videos elicit emotional of different polarity and intensity in exposed human subjects. These are stored in affective multimedia databases. The problem of emotion is an important issue in Human-Computer Interaction and different studies particularly those related to psychology and. Accurate prediction of users' attention and emotion has many applications such as the development of affective computer, multifaceted search engines, video-on-demand, Internet and video games. To this regard we present results of a study N=10 participants to investigate the capability of standardized affective databases in stimulation of emotion. Each participant was exposed to and video stimuli with previously determined semantics and emotion. exposure participants' physiological signals were recorded and estimated emotion in an off-line analysis. Participants reported their emotion states each exposure session. The a posteriori and a priori emotion values were. The experiment showed, among other reported results, that carefully video sequences induce a stronger and more accurate emotional reaction pictures. Individual participants' differences greatly influence the and polarity of experienced emotion.
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Horvat et al. (2015) studied this question.