DEVELOPMENT OF A CONVERSATIONAL AGENT FOR HEALTHY FOOD RECOMMENDATIONS IN THAILAND

Jarumon  Nookhong; Nutthapat  Kaewrattanapat; Phachaya  Chaiwchan; Natcha  Wattanaprapa

Jarumon Nookhong Suan Sunandha Rajabhat University
Nutthapat Kaewrattanapat Suan Sunandha Rajabhat University
Phachaya Chaiwchan Suan Sunandha Rajabhat University
Natcha Wattanaprapa Suan Sunandha Rajabhat University

Keywords: Conversational Agent, Recommendations, Healthy Food

Abstract

This research aims to (1) develop a conversational agent system for healthy food recommendations in Thailand, and (2) evaluate the efficiency of the conversational agent for healthy food recommendations in Thailand. The research tool used in this study was a questionnaire to assess the efficiency of the developed system, which was evaluated by 17 experts using Mean, Standard Deviation (S.D.), Median, Interquartile Range (IR), and Quartile Deviation (QD). The research findings indicate that the group of experts unanimously approved the developed system. The results can be summarized in three aspects: System efficiency and requirements (Mean=4.28, S.D.=0.15, IR<=1 and QD<=0.5) System operational efficiency (Mean=4.29, S.D.=0.37, IR<=1 and QD<=0.5) System design efficiency (Mean=4.75, S.D.=0.25, IR<=1 and QD<=0.5) In conclusion, the developed system is suitable for practical use and can effectively recommend healthy foods and cooking methods. Additionally, it can track users' ingredient search behavior to provide relevant healthy food recommendations, thereby supporting consumers' decision-making processes.