Emotion recognition and its application in software engineering

Agata Kołakowska · Agnieszka Landowska · Mariusz Szwoch · Wioleta Szwoch · Michał R. Wróbel

91 citations0/0 files storedConference on Human System Interactions

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Emotion and Mood Recognition Software Engineering Techniques and Practices Gaze Tracking and Assistive Technology

Abstract

In this paper a novel application of multimodal emotion recognition algorithms in software engineering is described. Several application scenarios are proposed concerning program usability testing and software process improvement. Also a set of emotional states relevant in that application area is identified. The multimodal emotion recognition method that integrates video and depth channels, physiological signals and input devices usage patterns is proposed and some preliminary results on learning set creation are described.

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References

1932A technique for measurement of attitudes 1994Measuring emotion: The self-assessment manikin and the semantic differential 2008A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions 2005Detecting Stress During Real-World Driving Tasks Using Physiological Sensors 2003Affective computing: challenges 2004Emotion recognition system using short-term monitoring of physiological signals 2011Identifying emotional states using keystroke dynamics 2011Physiological signals based human emotion Recognition: a review

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2020A Review of Emotion Recognition Methods Based on Data Acquired via Smartphone Sensors 2021Facial geometric feature extraction based emotional expression classification using machine learning algorithms 2019Recognizing Emotion from Speech Based on Age and Gender Using Hierarchical Models

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