This software enables a detailed analysis of more than 200,000 frames of video-recordings in order to capture human emotions based on facial expressions. To evaluate the film and eye-fixation data, we make use of the emotional recognition software FaceReader. For this purpose, we set up a lab experiment with eye-tracking and webcam technology. Hence, as demanded by current research on the dark side of IT, we observe how emotional valence is shaped based on the cognitive appraisals of hedonic systems and how it is related to the discontinuance of these systems. The reason for this is twofold first, the concept of emotions is rather complex containing several different components, and second, emotions are difficult to measure. Nevertheless, although positive emotions are an important determinant for user behavior and adaptations, we still lack knowledge about the general role of negative emotions and their impact on Information Systems (IS) discontinuance.
Positive and negative emotions, either way, are the key influences for guiding human behavior.
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