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An exploratory study of how emotion tone presented in a message influences Artificial Intelligence (AI) powered recommendation system
Leong, Kelvin Sung, Anna
Leong, Kelvin
Sung, Anna
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2023-10-16
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Abstract
This innovative study aims to explore how emotion tone presented in a message influences the judgement of Artificial Intelligence (AI) bots. We established a scenario by using vacation rental introduction as input message to conduct experiments to explore the influences. Our findings suggest that AI bots demonstrate preferences on the input message presented in positive tones rather than input message with negative tones. Our pioneering study can serve as a crucial starting point for future studies, in particular opening up fresh avenues for future research endeavours and engenders discussions and debates concerning the development of recommendation system.
Citation
Leong, K., & Sung, A. (2023). An exploratory study of how emotion tone presented in a message influences Artificial Intelligence (AI) powered recommendation system. Journal of Technology & Innovation, 3(2), 80-84. https://doi.org/10.26480/jtin.02.2023.72.76
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Zibeline International Publishing
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Journal of Technology & Innovation
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DOI
10.26480/jtin.02.2023.80.84
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Article
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2773-6202