AN EXPLORATORY STUDY OF HOW EMOTION TONE PRESENTED IN A MESSAGE INFLUENCES ARTIFICIAL INTELLIGENCE (AI) POWERED RECOMMENDATION SYSTEM

Author:
Kelvin Leong, Anna Sung

Doi: 10.26480/jtin.02.2023.80.84

This is an open access article distributed under the Creative Commons Attribution License CC BY 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited

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.

Pages 80-84
Year 2023
Issue 2
Volume 3