Proceedings Article10.1109/icetsis61505.2024.10459497
The Contribution of Chatbot to Enhanced Customer Satisfaction: A Systematic Review
Sara Abdullah Al-Barrak,Adel Ismail Al-Alawi +1 more
- 28 Jan 2024
pp 246-250
1
TL;DR: The use of chatbots has increased due to the need for social media, positively impacting customer satisfaction by offering improved high-quality services.
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Abstract: Artificial intelligence (AI) has grown in business by deploying machine learning algorithms. One of the AI technologies is a chatbot that reacts like a human and allows interaction with humans in a natural language. They offer different opportunities to enhance customer services and boost customer satisfaction. This research aims to delve into the role of chatbots in increasing customer satisfaction and improving customer services. A systematic literature review was conducted of 10 papers, extracted, and examined to identify the impact of chatbots on customer satisfaction and services. Based on the review, the study discovered that the use of chatbots has increased over the COVID-19 period (2020-2022) due to the need for social media, which positively impacts customer satisfaction by offering improved high-quality services. The present literature review has found a significant research gap regarding the impact of chatbots on customer satisfaction. Specifically, although many studies are available on chatbots, only a few studies have been conducted to focus on a specific sector. Furthermore, there is a need for more research because there is a lack of information regarding the impact of chatbot emotional expressions on customer satisfaction. Therefore, to gain a deeper understanding of this emerging subject and the impact of chatbots on customer satisfaction, future research must concentrate on analyzing these elements in greater detail.
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Citations
Towards Age-Inclusive Conversational interfaces: Understanding Requirements Across Age Groups
Rezvan Boostani,Cosmin Munteanu,Anastasia Kuzminykh +2 more
- 07 Jul 2025
TL;DR: This study investigates age-inclusive conversational interfaces, comparing user behaviors, expectations, and needs across age groups to inform adaptive design that supports users of all ages, highlighting similarities and differences in interaction styles and requirements.
References
The thing and I: understanding the relationship between user and product
Marc Hassenzahl
- 01 Jan 2005
TL;DR: Even though the HCI community seems to embrace the notion that functionality and usability is just not enough, the authors are far from having a coherent understanding of what user experience actually is.
1.2K
AI-based chatbots in customer service and their effects on user compliance
TL;DR: It is demonstrated that both anthropomorphism as well as the need to stay consistent significantly increase the likelihood that users comply with a chatbot’s request for service feedback, and social presence mediates the effect of anthropomorphic design cues on user compliance.
Determinants of customer satisfaction in chatbot use: evidence from a banking application in Turkey
TL;DR: In this paper, a survey is conducted in Turkey involving 240 customers who experienced banking transactions using a chatbot and partial least squares structural equation modeling (PLS-SEM) is used to investigate the relationships between the variables.
187
Chatbots for customer service: user experience and motivation
Asbjørn Følstad,Marita Skjuve +1 more
- 22 Aug 2019
TL;DR: The human likeness of chatbots for customer service is found to be dwarfed in importance compared to such chatbots' ability to efficiently and adequately handle enquiries.
171
Users' experiences with chatbots: findings from a questionnaire study
Asbjørn Følstad,Petter Bae Brandtzæg,Petter Bae Brandtzæg +2 more
- 01 Dec 2020
TL;DR: It was found that pragmatic attributes such as efficient assistance and problems with interpretation were important elements in user reports of satisfactory and frustrating episodes of chatbot use that they found particularly satisfactory or frustrating.