An Overview of Chatbot Technology
By Eleni Adamopoulou, Lefteris Moussiades. Artificial Intelligence Applications and Innovations, 2020
743 citations recorded by the source corpus.
The use of chatbots evolved rapidly in numerous fields in recent years, including Marketing, Supporting Systems, Education, Health Care, Cultural Heritage, and Entertainment. In this paper, we first present a historical overview of the evolution of the international community’s interest in chatbots. Next, we discuss the motivations that drive the use of chatbots, and we clarify chatbots’ usefulness in a variety of areas. Moreover, we highlight the impact of social stereotypes on chatbots design. After clarifying necessary technological concepts, we move on to a chatbot classification based on various criteria, such as the area of knowledge they refer to, the need they serve and others. Furthermore, we present the general architecture of modern chatbots while also mentioning the main platforms for their creation. Our engagement with the subject so far, reassures us of the prospects of chatbots and encourages us to study them in greater extent and depth.
Subfields: Artificial Intelligence, Social Psychology
View Paper: https://www.semanticscholar.org/paper/24d19b8ea4b237bd8b1d7f3997544c99b2126d7f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Robert E. Kraut
- Bing Nie
- Ziang Wang
- Guendalina Caldarini
- Ting Wang
- Nishith Reddy Mannuru
- Sardar F. Jaf
- K. McGarry
In Social Psychology
- Robert E. Kraut
- Bing Nie
- Ziang Wang
- Ting Wang
- Nishith Reddy Mannuru
- Brady D. Lund
- Somipam R. Shimray
Citations in the corpus
- ChatGPT and a new academic reality: Artificial Intelligence‐written research papers and the ethics of the large language models in scholarly publishing (2023, methodology): “Chatbots, which are computer programs designed to mimic human conversation, are one example of the practical uses of these technologies (Adamopoulou & Moussiades, 2020a).”
- A Literature Survey of Recent Advances in Chatbots (2021, background): “The study conducted by [26] involved two analysis of the literature that discuss the history, technology and applications of chatbots.”
- An Overview of Chatbot-Based Mobile Mental Health Apps: Insights From App Description and User Reviews (2022, neutral): “A chatbot is a system that can converse and interact with human users using spoken, written, and visual languages [1].”
- Chatbot for Health Care and Oncology Applications Using Artificial Intelligence and Machine Learning: Systematic Review (2021, neutral): “The 5 main types are described below [15].”
- Systematic review and meta-analysis of AI-based conversational agents for promoting mental health and well-being (2023, methodology): “Powered by NLP, machine learning and deep learning, these AI-based CAs possess expanding capabilities to process more complex information and thus allow for more personalized, adaptive, and sophisticated responses to mental health needs 8,9 .”
- Measuring the Feasibility of a Question and Answering System for the Sarawak Gazette Using Chatbot Technology (2025, unknown): “In 1950, the idea of chatbots was popularized after Alan Turing (1950) proposed the Turing Test for evaluating how human a machine behaves (Adamopoulou & Moussiades, 2020).”