Towards AI Chatbot Effectiveness: Crucial Elements Impacting User Engagement and Satisfaction

Recently, chatbots have been the most influential applications of artificial intelligence in changing user interactions across various industries. This paper presents the changing landscape of AI chatbot or conversational AI implementation, focusing on challenges and strategic approaches to enhance user engagement and adoption. Next-generation AI chatbots are empowered to understand and respond to user queries more accurately and relevantly through the support of natural language processing and machine learning. However, there are still huge challenges to be overcome regarding user experience optimization, frustration reduction, and trust building. This research has singled out eight factors that influence artificial intelligence chatbot performance in various domains, with the objective of improving this design and functionality. By taking these challenges and leveraging strategic implementation, the organizations can maximize the value of AI chatbots in enhancing customer engagement and operational efficiency.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/icaaeei63658.2024.10899167
Citations
1
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.35
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article

Towards AI Chatbot Effectiveness: Crucial Elements Impacting User Engagement and Satisfaction

Dinda Lestarini, Sarifah Putri Raflesia
1 citations
AI in Service Interactions
0.35
article

Towards AI Chatbot Effectiveness: Crucial Elements Impacting User Engagement and Satisfaction

Dinda Lestarini, Sarifah Putri Raflesia
article en
1 citations

Abstract

Recently, chatbots have been the most influential applications of artificial intelligence in changing user interactions across various industries. This paper presents the changing landscape of AI chatbot or conversational AI implementation, focusing on challenges and strategic approaches to enhance user engagement and adoption. Next-generation AI chatbots are empowered to understand and respond to user queries more accurately and relevantly through the support of natural language processing and machine learning. However, there are still huge challenges to be overcome regarding user experience optimization, frustration reduction, and trust building. This research has singled out eight factors that influence artificial intelligence chatbot performance in various domains, with the objective of improving this design and functionality. By taking these challenges and leveraging strategic implementation, the organizations can maximize the value of AI chatbots in enhancing customer engagement and operational efficiency.

Sriwijaya University (ID)
Openalex Percentile: Top 29%
AI in Service Interactions
0.35
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Towards AI Chatbot Effectiveness: Crucial Elements Impacting User Engagement and Satisfaction — Dinda Lestarini, Sarifah Putri Raflesia · (2024) | TGRS Research Map | TGRS