AHFE Open AccessSomeone to Talk To
Abstract
This paper reflects upon the challenges surrounding the efforts in recognizing and classifying user’s affective state. A suitable set of rules for contextual valence shifting has a central role in the proposed lexical-based approach for automatic emotion detection, which utilizes a diverse set of publicly available lexical resources. To evaluate the strengths and weaknesses of the embedded algorithm for word valence assignment, an experimental study with a suitable dataset was conducted and the performance results are discussed. A prototype multimodal mobile application that steers the conversational dialogue aligned with user’s affective states will also be presented.
Keywords: Automatic Emotion Detection, Affective Lexical Analysis, Contextual Valence Shifters, Emotional Intelligence
DOI: 10.54941/ahfe100547
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