Abstract
This study presents and evaluates an application exploring real-time sentence-based emotion recognition. This application is called SenseExpres and is used for the detection of emotions from sentences comprising Greek words. SenseExpress development was based on the Synesketch software library, which is built upon Ekman’s basic emotion theory. Greek sentences are classified into six emotional types defined by Ekman (happiness, sadness, anger, fear, disgust and surprise). The evaluation of this application was based on users’ self-report and Technology Acceptance Model (TAM). More specifically, 108 users participated in the evaluation activity. Every user was asked to provide 15 simple Greek sentences as input to the application. The self-report evaluation showed that 50.9% of the participants were satisfied with the resulted emotions. Moreover, TAM evaluation resulted in a significant interrelated model.
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Apostolidis, H., Siakkagianni, F., Tegos, S., Politopoulos, N., Tsiatsos, T. (2020). Work-in-Progress: SenseExpress, It Sounds Greek to Me but I Can Imagine How You Feel. In: Auer, M., Tsiatsos, T. (eds) The Challenges of the Digital Transformation in Education. ICL 2018. Advances in Intelligent Systems and Computing, vol 916. Springer, Cham. https://doi.org/10.1007/978-3-030-11932-4_42
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