Enhancing Chatbot Performance with Emotions Based on Human-Agent Interaction

Enhancing Chatbot Performance with Emotions Based on Human-Agent Interaction

1. Introduction 1 27/ 1 2 /2 23 Research Proposal On   Enhancing Chatbot Performance with Emotions Based on Human-Agent Interaction Masum Billah Dept. of Computer Science and Engineering University of Rajshahi Bangladesh

2. Human Emotions can vary from person to person with the parameters of gender, age, biological factors, situation, context, culture, and environment.  One way is to differentiate emotions by behavioral analysis.  This study focuses on analyzing different types of emotions and training through a model to create a chatbot.  The resulting chatbot improves its performance. It would be trained by a model based on individual emotions and behaviors.  Abstract 2 27/ 1 2 /2 23

3. Introduction 3 27/ 1 2 /2 23

4. Literature Review 4 27/ 1 2 /2 23

5. Literature Review 5 27/ 1 2 /2 23

6. Methodology 6 UNDERSTAND THE CONSUMER’S QUERY ANALYZE THE EMOTIONAL BEHAVIOR OF CONSUMER INTEGRATE FRAMEWORK ON HUMAN- AGENT INTERACTION SELECT A PLATFORM FOR DEPLOYMENT DETERMINE THE BOT'S PURPOSE 27/ 1 2 /2 23

7. Methodology (Emotions & Behavior) 7 Behaviors can be extracted through Experimental behavioral analysis (EBA). We can extract the behavior of individuals with the help of Independent and dependent variables [7]. The chatbot can extract emotions as it will be trained through the concept Emotional Chatting Machine (ECM). Internal and external memory is required to satisfy the requirement. ECM can determine high-level abstraction of emotions and capture the change of implicit external emotions state [8]. A model is developed with the necessary toolkit and integrates the trained model into the Human-Agent Interaction framework. Modify the interaction based on emotional and behavioral analysis. It is necessary to ensure that the agent can interpret and respond properly. Finally, we will select a platform for the deployment of the chatbot and measure its performance. 27/ 1 2 /2 23

8. Result and Discussion 8 27/ 1 2 /2 23 This proposed chatbot would have an excellent user experience. The individuals would be happy, getting such a type of chatbot as it would understand their emotions. The chatbot would be smarter by learning people’s emotions and behavior. After using the chatbot users were less frustrated and more positive.

9. Conclusion 9 27/ 1 2 /2 23 The goal of this research proposal is to measure the performance of an enhanced chatbot based on user experience.  It shows how the chatbot greatly improves users' feelings when they ask for a query and get their answers. This study also discusses where emotional understanding can be helpful and focuses on how to improve chatbots even better in the future. 

10. References 10 [1] Z. Elyoseph , D. Hadar-Shoval , K. Asraf , and M. Lvovsky . (2023, May). "ChatGPT outperforms humans in emotional awareness evaluations." Frontiers in Psychology [Online]. vol. 14. Available: https://doi.org/10.3389/fpsyg.2023.1199058  [2] C.-Y. Li and J.-T. Zhang. (2023, May). "Chatbots or me? Consumers’ switching between human agents and conversational agents." Journal of Retailing and Consumer Services [Online]. vol. 72, 103264. ISSN 0969-6989. Available: https://doi.org/10.1016/j.jretconser.2023.103264.  [3] E. Adamopoulou , L. Moussiades . (2020, May). An Overview of Chatbot Technology. In: I. Maglogiannis , L. Iliadis , E. Pimenidis , Artificial Intelligence Applications and Innovations. AIAI 2020. IFIP Advances in Information and Communication Technology, vol. 584, pp. 373-383. [Online]. Available: https://doi.org/10.1007/978-3-030-49186-4_31  [4] D. M. Isaacowitz . (2022, May). "What Do We Know About Aging and Emotion Regulation?" Perspectives on Psychological Science [Online]. vol. 17, issue 6, pp. 1541-1555. Available: https://doi.org/10.1177/17456916211059819  [5] E. Mandal. (2007). "Emotions of Women and Men - Similarities - Differences - Development." The New Educational Review 2007, pp. 169-183.  [6] B. F. Skinner. (1966, May). "What is the experimental analysis of behavior?" Journal of the experimental analysis of behavior [Online]. vol. 9, issue 3, pp. 213–218. Available: https://doi.org/10.1901/jeab.1966.9-213  [7] H. Zhou, M. Huang, T. Zhang, X. Zhu, & B. Liu. (2018). "Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory." In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 32, no. 1. Available: https://doi.org/10.1609/aaai.v32i1.1132 27/ 1 2 /2 23