Abstract
The Professor Picard host Media Laboratory at MIT, in her book “Affective Computing” talked about the next milestone of artificial intelligence, which is the identification and transformation of emotional cognition. The employees do the job in working place, how are they feeling and what are their emotions in work status? In the research model plan to analyze employees’ emotions by affective-model in working place. This project will develop in affective computing framework, according to the operating on information devices, internet behavior, and web content to find out the working status and emotion changing in the work field to figure out the relations. In this affective computing framework, the emotion infrastructure is the Thayer’s model which are 12 emotions in the category and using the user’s cyber behavior to extract the emotion trigger factors. Through this research, it can improve how to improve the work efficiency of the employee in a good emotion status.
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Lee, MF. (2020). Working Place Monitoring Emotion by Affective Computing Model. In: Hung, J., Yen, N., Chang, JW. (eds) Frontier Computing. FC 2019. Lecture Notes in Electrical Engineering, vol 551. Springer, Singapore. https://doi.org/10.1007/978-981-15-3250-4_6
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DOI: https://doi.org/10.1007/978-981-15-3250-4_6
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