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Journal articles on the topic 'Artificial intelligence chatbots'

Author: Grafiati

Published: 5 June 2025

Last updated: 16 July 2025

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1

Kadasah, Effah Abdullah. "Artificial Intelligence Powered Chatbot for Business." International Journal of Information Technology and Business 4, no. 2 (2023): 61–66. http://dx.doi.org/10.24246/ijiteb.422023.61-66.

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Text has become an essential interaction manner between people. The use of chatbots improved quickly in business area including marketing, customer service and e-commerce. Users value chatbots because they are fast, intuitive and convenient. This paper discussed about the artificial intelligence technology that used to develop and implement chatbots which can the organization used to benefit in their businesses. A chatbot is a computer program that can interact with a human by using natural language. The main three areas in business that using chatbot the most are marketing, customer service a

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Effah Abdullah Kadasah. "Artificial Intelligence Powered Chatbot for Business." International Journal of Information Technology and Business 5, no. 2 (2023): 18–23. https://doi.org/10.24246/ijiteb.522023.18-23.

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Text has become an essential interaction manner between people. The use of chatbots improved quickly in business area including marketing, customer service and e-commerce. Users value chatbots because they are fast, intuitive and convenient. This paper discussed about the artificial intelligence technology that used to develop and implement chatbots which can the organization used to benefit in their businesses. A chatbot is a computer program that can interact with a human by using natural language. The main three areas in business that using chatbot the most are marketing, customer service a

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Zhang, Jingwen, Yoo Jung Oh, Patrick Lange, Zhou Yu, and Yoshimi Fukuoka. "Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint." Journal of Medical Internet Research 22, no. 9 (2020): e22845. http://dx.doi.org/10.2196/22845.

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Background Chatbots empowered by artificial intelligence (AI) can increasingly engage in natural conversations and build relationships with users. Applying AI chatbots to lifestyle modification programs is one of the promising areas to develop cost-effective and feasible behavior interventions to promote physical activity and a healthy diet. Objective The purposes of this perspective paper are to present a brief literature review of chatbot use in promoting physical activity and a healthy diet, describe the AI chatbot behavior change model our research team developed based on extensive interdi

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Rangasamy, Sangeetha, Aishwarya Nagarathinam, Aarthy Chellasamy, and Elangovan N. "Health-Seeking Behaviour and the use of Artificial Intelligence-based Healthcare Chatbots among Indian Patients." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 10s (2023): 440–50. http://dx.doi.org/10.17762/ijritcc.v11i10s.7652.

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Artificial Intelligence (AI) based healthcare chatbots can scale up healthcare services in terms of diagnosis and treatment. However, the use of such chatbots may differ among the Indian population. This study investigates the influence of health-seeking behaviour and the availability of traditional, complementary and alternative medicine systems on healthcare chatbots. A quantitative study using a survey technique collects data from the Indian population. Items measuring the awareness of chatbot’s attributes and services, trust in the chatbots, health-seeking behaviour, traditional, complemen

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Kumari, Rashmi, and Dr Priyanka Singh. "Weaponizing Artificial Intelligence." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (2023): 966–81. http://dx.doi.org/10.22214/ijraset.2023.53289.

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Abstract: The research paper delved into the concerns of chatbot users and the potential risks lurking in the shadows—security, privacy, data protection, and social quandaries. What emerged from the study was a disquietude among users, fearing the misuse or thievery of their personal information. Additionally, apprehension surfaced regarding the sinister deployment of chatbots in the realms of phishing scams and the propagation of deceitful news. To ensure a shielded experience when engaging with chatbots, users were provided with sagacious counsel. They were admonished to only divulge their v

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Xu, Ying, Nora Bradford, and Radhika Garg. "Transparency Enhances Positive Perceptions of Social Artificial Intelligence." Human Behavior and Emerging Technologies 2023 (September 6, 2023): 1–15. http://dx.doi.org/10.1155/2023/5550418.

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Social chatbots are aimed at building emotional bonds with users, and thus it is particularly important to design these technologies so as to elicit positive perceptions from users. In the current study, we investigate the impacts that transparent explanations of chatbots’ mechanisms have on users’ perceptions of the chatbots. A total of 914 participants were recruited from Amazon Mechanical Turk. They were randomly assigned to observe conversations between a hypothetical chatbot and a user in one of the two-by-two experimental conditions: whether the participants received an explanation about

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Chen, David, Ryan S. Huang, Jane Jomy, et al. "Performance of Multimodal Artificial Intelligence Chatbots Evaluated on Clinical Oncology Cases." JAMA Network Open 7, no. 10 (2024): e2437711. http://dx.doi.org/10.1001/jamanetworkopen.2024.37711.

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ImportanceMultimodal artificial intelligence (AI) chatbots can process complex medical image and text-based information that may improve their accuracy as a clinical diagnostic and management tool compared with unimodal, text-only AI chatbots. However, the difference in medical accuracy of multimodal and text-only chatbots in addressing questions about clinical oncology cases remains to be tested.ObjectiveTo evaluate the utility of prompt engineering (zero-shot chain-of-thought) and compare the competency of multimodal and unimodal AI chatbots to generate medically accurate responses to questi

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Sensoy, Eyupcan, and Mehmet Citirik. "Evaluation and Comparison of the Knowledge Levels of Current Artificial Intelligence Programs on Retinal/Vitreous Diseases and Treatment Methods." Journal of Current Ophthalmology 36, no. 1 (2024): 78–81. http://dx.doi.org/10.4103/joco.joco_192_23.

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Abstract Purpose: To evaluate the answers to multiple-choice questions about retina and vitreous diseases and treatment modalities of Chat Generative Pre-Trained Transformer (ChatGPT), Bard, and Bing artificial intelligence chatbots, examining the level of knowledge about these subjects, and investigating the existence of their superiority over each other. Methods: Forty-six questions related to retinal and vitreous diseases and treatment modalities were asked to ChatGPT, Bing, and Bard chatbots. Results: The Bing artificial intelligence chatbot correctly answered 76.1% of the questions. ChatG

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Dosovitsky, Gilly, Blanca S. Pineda, Nicholas C. Jacobson, Cyrus Chang, Milagros Escoredo, and Eduardo L. Bunge. "Artificial Intelligence Chatbot for Depression: Descriptive Study of Usage." JMIR Formative Research 4, no. 11 (2020): e17065. http://dx.doi.org/10.2196/17065.

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Background Chatbots could be a scalable solution that provides an interactive means of engaging users in behavioral health interventions driven by artificial intelligence. Although some chatbots have shown promising early efficacy results, there is limited information about how people use these chatbots. Understanding the usage patterns of chatbots for depression represents a crucial step toward improving chatbot design and providing information about the strengths and limitations of the chatbots. Objective This study aims to understand how users engage and are redirected through a chatbot for

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Mashilo, Modiba, and Mahlatse Shekgola. "Utilising Artificial Intelligence Chatbots for Student Support at Comprehensive Open Distance E-learning Higher Learning Institutions in the Fifth Industrial Revolution." Journal of Education, Society & Multiculturalism 5, no. 1 (2024): 26–48. http://dx.doi.org/10.2478/jesm-2024-0003.

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Abstract Artificial intelligence chatbot technology holds tremendous potential to be deployed as a student support service automation platform in comprehensive open distance e-learning institutions of higher learning in the Fifth Industrial Revolution. Inadequate support service provision to students at comprehensive open distance e-learning institutions of higher education has prompted this investigation into the use of artificial intelligence chatbot technology for the provision of student support services at comprehensive open distance e-learning higher education institutions in the Fifth I

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Kim, Jin. "Development of Real Estate Brokerage Services Using Chatbot." Korea Real Estate Society 69 (September 30, 2023): 97–110. http://dx.doi.org/10.37407/kres.2023.41.3.97.

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Chatbot is a program that, uses artificial intelligence technology to communicate with users through natural language processing. The chatbot provides, an interactive interface and may provide an appropriate response to a user's question or request. This can facilitate communication between users and businesses, and reduce, manpower and costs. First, the convenience of real estate brokerage services can be improved by utilizing artificial intelligence technology of chatbots. Second, a more professional real estate brokerage service can be provided by combining chatbots and real estate ex

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Ma’rup, Muhammad, Tobirin, and Ali Rokhman. "Utilization of Artificial Intelligence (AI) Chatbots in Improving Public Services: A Meta-Analysis Study." Open Access Indonesia Journal of Social Sciences 7, no. 4 (2024): 1610–18. http://dx.doi.org/10.37275/oaijss.v7i4.255.

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AI chatbots have emerged as a transformative tool in public service delivery. This study aims to conduct a systematic review and meta-analysis of existing literature to assess the effectiveness of AI chatbots in improving efficiency, response time and user satisfaction in various public service contexts. A comprehensive literature search was conducted on the Scopus database, limiting studies published between 2018 and 2024. Inclusion criteria included quantitative studies that evaluated the impact of AI chatbots on at least one of three outcome variables: efficiency, response time, or user sat

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Prerna, Prerna, and Nidhi Singh. "EVOLUTION AND IMPACT OF ARTIFICIAL INTELLIGENCE IN CHATBOTS." Journal of Trends and Challenges in Artificial Intelligence 1, no. 4 (2024): 139–42. http://dx.doi.org/10.61552/jai.2024.04.004.

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Artificial Intelligence (AI) is reshaping the world and technology, no longer a futuristic concept but a present reality in our daily lives. Businesses are rapidly adopting AI to automate processes, leading to the creation of intelligent agents known as chatbots. These chatbots have revolutionized business communication and significantly enhanced customer satisfaction. This paper explores the history and development platforms of chatbots, examining their integration into daily life despite often undefined purposes. Chatbots use pattern recognition to generate responses, raising questions about

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Kunchala, Little Flower, Rani Veena, and Kumar Kandru Arun. "Efficient Cloud Platform for Developing a Chatbot." International Journal of Innovative Science and Research Technology 7, no. 5 (2022): 749–54. https://doi.org/10.5281/zenodo.6626229.

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Intelligent conversational computer systems, such as chatbots, imitate human speech to provide online assistance and assistance in the form of automated responses. Many sectors have used chatbots to deliver virtual support to clients as a result of the enhanced advantages they provide. Natural Language Processing and Machine Learning are two areas of Artificial Intelligence that are heavily included into chatbots. Before the advent of chatbots, there were just bots. The emergence of chatbots has ushered in a new age of conversational computing. A method of conversion that is participatory. A t

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D. B, Adewole, Olusola S. J., Ogunlana S. O, and Adelola M. A. "Development of an AI-Powered Faculty Support Chatbot." International Journal of Research and Innovation in Applied Science X, no. I (2025): 321–34. https://doi.org/10.51584/ijrias.2025.1001026.

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Chatbots have great promise as a tool for providing students with feedback and assisting them in implementing metacognitive techniques during their educational journey. The potential of AI chatbots to completely transform educational systems in a variety of ways recently rocked the world. Artificial intelligence (AI) chatbots can offer prompt assistance by responding to enquiries, providing clarifications, and supplying extra resources. Chatbots can also act as virtual teaching assistants, supporting educators through various means. This research paper presents the design and implementation of

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Modiba, Mashilo, and Mahlatse Shekgola. "Utilising artificial intelligence chatbots for conducting research in the fifth industrial revolution." Journal of Infrastructure, Policy and Development 9, no. 3 (2025): 11334. https://doi.org/10.24294/jipd11334.

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Artificial intelligence chatbots can be used to conduct research effectively and efficiently in the fifth industrial revolution. Artificial intelligence chatbots are software applications that utilize artificial intelligence technologies to assist researchers in various aspects of the research process. These chatbots are specifically designed to understand researchers’ inquiries, provide relevant information, and perform tasks related to data collection, analysis, literature review, collaboration, and more. The purpose of this study is to investigate the use of artificial intelligence chatbots

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Deka, Debajani. "Artificial intelligence and mental health: a review article." International Journal of Research in Medical Sciences 12, no. 4 (2024): 1317–20. http://dx.doi.org/10.18203/2320-6012.ijrms20240864.

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The term AI was originally coined by a computer scientist, John McCarthy, who defined it as the science and engineering of making intelligent machines. The father of AI authored a 1950 article, “Computing Machinery and intelligence” that discussed the reasons for considering a machine to be intelligent. Artificial intelligence is useful to facilitate faster disease detection. It helps to understand disease progression, improve medication/treatment dosages, and discover innovative treatments. The artificial intelligence tools mostly used for psychosis risk screening are chatbots and large-scale

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Meshram, Anurag, Amol Patil, Saurabh Mulik, Aniruddh Pawar, and Prof Sheetal Nirve. "Text Generation Model Using Deep Learning." International Journal for Research in Applied Science and Engineering Technology 13, no. 1 (2025): 23–25. https://doi.org/10.22214/ijraset.2025.66190.

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Abstract: The rapid growth of artificial intelligence (AI) and natural language processing (NLP) has given rise to conversational AI solutions known as chatbots. This project aims to explore and develop a chatbot using the OpenAI API. The chatbot is designed to offer users an interactive, responsive, and context-aware conversation experience. This report presents a detailed overview of the development process, design considerations, implementation, evaluation, and potential improvements. Chatbots have gained prominence for improving online interactions and information retrieval. The chatbot's

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Kumar, Sheetesh. "Chatbots: A Comprehensive Review of Functionality and Development." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem30316.

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Chatbots are electronic gadgets that respond according to the preferences of the user. It’s widely used by people to get our questions addressed. A chatbot is a piece of software that uses technology to converse with users in their own language. It’s also a sophisticated system that can answer your question right away from anywhere at any time. These days, the technology’s responsive interface is the main reason why so many firms employ it. This paper presents the technology of chatbots and then provides an overview of the results. Chatbot technology is based on artificial intelligence (AI) an

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Trout, Joseph J., and Lauren Winterbottom. "Artificial intelligence and undergraduate physics education." Physics Education 60, no. 1 (2024): 015024. https://doi.org/10.1088/1361-6552/ad98de.

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Abstract The latest advances in science and technology have resulted in great advances in artificial intelligence (AI), including the creation of chatbots. Chatbots simulate human conversation and allow humans to ask questions and receive answers based on a large volume of electronically stored information. Faculties of universities around the world are trying to come to grips with the availability of AI tools, such as chatbots, and are debating the ethical and moral questions surrounding the use of AI in education. This paper presents the results of a study which intended to answer three rese

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Goli, Mahendar, Anoop Kumar Sahu, Surajit Bag, and Pavitra Dhamija. "Users' Acceptance of Artificial Intelligence-Based Chatbots." International Journal of Technology and Human Interaction 19, no. 1 (2023): 1–18. http://dx.doi.org/10.4018/ijthi.318481.

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This research examines the effects of factors such as perceived ease of use, perceived usefulness, perceived enjoyment, innovativeness, perceived information quality, and perceived customisation on behavioural intention to use Chatbots. The research model designed is empirically validated using structural equation modelling with the aid of AMOS software. A five-point Likert scale-based structured questionnaire was used to collect data from 378 Chatbot users in an online method. The results indicated that the perceived ease of use, perceived usefulness, innovativeness, perceived information qua

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Nur Adl, Waliyin, Prakoso Dwika Prihambodo, Duman Care Khrisne, I. Made Arsa Suyadnya, and Fajar Purnama. "RANCANG BANGUN SISTEM CHATBOT PEMESANANMENU MAKANAN DAN MINUMAN PADA RESTORAN BERBASIS TELEGRAM BOT DENGAN PENDEKATAN NATURAL LANGUAGE PROCESSING." Jurnal SPEKTRUM 11, no. 2 (2024): 233. http://dx.doi.org/10.24843/spektrum.2024.v11.i02.p24.

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In the era of technological advancement, especially in computer and artificial intelligence (AI), there is a significant impact on various fields, including the Food and Beverage business. The use of chatbots with AI technology enables human-computer interaction in natural language, facilitating efficient ordering, information, and customer services. Chatbots are based on Natural Language Processing (NLP) and are trained using Machine Learning techniques such as Artificial Neural Networks (ANN), with TensorFlow as the main tool. This provides ease, accuracy, and efficiency in customer service.

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BILAN, I. "The global risks of using chat-bots сontrolled by artificial intelligence". INFORMATION AND LAW, № 3(50) (4 вересня 2024): 147–61. http://dx.doi.org/10.37750/2616-6798.2024.3(50).311717.

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The role and importance of artificial intelligence are defined. The prerequisites and trends of the use of artificial intelligence technologies in the development of chatbots are revealed. The necessity of creations the criteria and indicators for evaluating the effectiveness of chatbots controlled by artificial intelligence are focused. The risks of using artificial intelligence technologies in chatbots, namely: risks of discrimination; cyber security risks; risks to confidential data; ethical risks, validation risks are detailed. The conditions, features and algorithms for using chatbots wit

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Aggarwal, Abhishek, Cheuk Chi Tam, Dezhi Wu, Xiaoming Li, and Shan Qiao. "Artificial Intelligence–Based Chatbots for Promoting Health Behavioral Changes: Systematic Review." Journal of Medical Internet Research 25 (February 24, 2023): e40789. http://dx.doi.org/10.2196/40789.

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Background Artificial intelligence (AI)–based chatbots can offer personalized, engaging, and on-demand health promotion interventions. Objective The aim of this systematic review was to evaluate the feasibility, efficacy, and intervention characteristics of AI chatbots for promoting health behavior change. Methods A comprehensive search was conducted in 7 bibliographic databases (PubMed, IEEE Xplore, ACM Digital Library, PsycINFO, Web of Science, Embase, and JMIR publications) for empirical articles published from 1980 to 2022 that evaluated the feasibility or efficacy of AI chatbots for behav

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Entenberg, Guido A., Malenka Areas, Andrés J. Roussos, et al. "Using an Artificial Intelligence Based Chatbot to Provide Parent Training: Results from a Feasibility Study." Social Sciences 10, no. 11 (2021): 426. http://dx.doi.org/10.3390/socsci10110426.

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Online parenting training programs have shown to be effective. However, no studies on parent training programs delivered through chatbots have been reported yet. Aim. This study aims to assess the feasibility of delivering parenting skills through a chatbot. Methods. A sample of 33 parents completed a pilot feasibility study. Engagement, knowledge, net-promoters score and qualitative responses were analyzed. Results. A total of 78.8% of the sample completed the intervention. On average, participants remembered 3.7 skills out of the 5 presented and reported that they would recommend the chatbot

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R., Blaj. "Incident management assistant using artificial intelligence chatbots." Scientific Bulletin of Naval Academy XXII, no. 1 (2019): 8–16. http://dx.doi.org/10.21279/1454-864x-19-i1-001.

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The implementation for the concept presented in this paper was inspired by the fact that producers or service providers who want to furnish an extraordinary experience of their product have to be available and to give support 24/7 to their customers. More and more companies are opting for Artificial Intelligent Chatbots as part of their customer service team. This project aims to optimize and automate support for customers using the ServiceNow platform with a chatbot. Customers will have their own personal assistant who will create, delete, or modify the incidents assigned to them, but can als

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Shin, Hongju. "The Personification of Artificial Intelligence and Artificial Immortality: Focusing on the ‘Dadbot’ and ‘Young Michelle’ Projects." Korean Society of Culture and Convergence 45, no. 11 (2023): 387–96. http://dx.doi.org/10.33645/cnc.2023.11.45.11.387.

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This study investigates the potential of artificial intelligence as a tool for contemplating human mortality, focusing on the personification of AI and the creation of 'artificial immortality' through persona chatbots. These personalized AI chatbots, prioritizing engagement and emotional satisfaction, offer immersive experiences beyond mere information. 'Dadbot', a chatbot modeled on a deceased father, facilitates an interactive memoir, allowing a son to interact with his father’s digital persona, thus achieving a form of artificial immortality. Similarly, 'Young Michelle', a chatbot programme

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Kumar, Vinay. "A Survey of Artificial Intelligence Approaches for Mental Healthcare Chatbots." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem34286.

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The research paper explores the evolving landscape of mental health care chatbots, examining their features, challenges, and future prospects. By synthesizing current research and developments, we aim to provide insights into the potential benefits and limitations of integrating chatbots into mental health care. According to the literature survey these systems have used different frameworks of Natural Language Processing (NLP), Natural Language Understanding (NLU) technologies and ML models. The chatbot aims to make a discussion between mortal and machine. Healthcare chatbot system stores the

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Alshboul, Khaled Yousef. "Artificial intelligence-based chatbots adoption among higher education institutions by integrating with UTAUT2." International Journal of Data and Network Science 8, no. 4 (2024): 2141–50. http://dx.doi.org/10.5267/j.ijdns.2024.6.017.

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Despite certain advancements, the incorporation of artificial intelligence in universities is still inadequate. The requirement for students will continue for a while, although the development of artificial intelligence-based chatbots in schools has limited the role of students. The research aimed to assess the willingness of Jordanian learners in higher education to use artificial intelligence-powered chatbots for instructional purposes. The present research suggests nine hypotheses derived from the UTAUT2 model to assess students' desire to use artificial intelligence-based chatbots in learn

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ELMAS, Yunus. "Yabancı Dil Türkçe Öğretiminde İstem Mühendisliği Teknikleriyle Sohbet Robotlarının Kullanımı." International Journal of Social Sciences 8, no. 35 (2024): 54–83. http://dx.doi.org/10.52096/jcsl.05.09.04.

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Artificial intelligence is one of the most important technologies of today. With its increasing and diversifying applications, this technology holds significant potential in many fields, including education. Chatbots are large language models created to engage in conversations with humans by utilizing natural language processing technology, a subfield of artificial intelligence. In recent years, this area has made significant advancements, and chatbots capable of generating human-like texts and visuals have come to be known as generative AI models. Chatbots hold great potential in the teaching

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Steimetz, Eric, Jeremy Minkowitz, Elmer C. Gabutan, et al. "Use of Artificial Intelligence Chatbots in Interpretation of Pathology Reports." JAMA Network Open 7, no. 5 (2024): e2412767. http://dx.doi.org/10.1001/jamanetworkopen.2024.12767.

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ImportanceAnatomic pathology reports are an essential part of health care, containing vital diagnostic and prognostic information. Currently, most patients have access to their test results online. However, the reports are complex and are generally incomprehensible to laypeople. Artificial intelligence chatbots could potentially simplify pathology reports.ObjectiveTo evaluate the ability of large language model chatbots to accurately explain pathology reports to patients.Design, Setting, and ParticipantsThis cross-sectional study used 1134 pathology reports from January 1, 2018, to May 31, 202

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Inupakutika, D., M. Nadim, G. R. Gunnam, et al. "Integration of NLP and Speech-to-text Applications with Chatbots." Electronic Imaging 2021, no. 3 (2021): 35–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.3.mobmu-035.

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With the evolving artificial intelligence technology, the chatbots are becoming smarter and faster lately. Chatbots are typically available round the clock providing continuous support and services. A chatbot or a conversational agent is a program or software that can communicate using natural language with humans. The challenge of developing an intelligent chatbot still exists ever since the onset of artificial intelligence. The functionality of chatbots can range from business oriented short conversations to healthcare intervention based longer conversations. However, the primary role that t

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Kanthed, Surbhi. "The Role of Chatbots in Reducing Customer Support Response Time in E-Commerce." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 07, no. 12 (2023): 1–7. https://doi.org/10.55041/ijsrem27517.

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The rapid growth of e-commerce has intensified the demand for efficient customer support. Traditional call center and email-based systems often struggle to handle high volumes of support requests, resulting in delays and decreased customer satisfaction. Chatbots, driven by advances in artificial intelligence (AI) and natural language processing (NLP), represent a promising solution to these challenges. This white paper explores the role of chatbots in reducing customer support response time in e-commerce, examining key technical and operational considerations, and proposing a structured method

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Bogdanova, A. N., and G. A. Fedorova. "Chatbots as a component of the content of teaching the basics of artificial intelligence at school." Informatics in school, no. 2 (July 17, 2022): 39–45. http://dx.doi.org/10.32517/2221-1993-2022-21-2-39-45.

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The article discusses the relevance of teaching schoolchildren the basics of artifcial intelligence. The importance of chatbots is emphasized as a component of the content of the theme "Fundamentals of artifcial intelligence" for the development of interdisciplinary links of the school course of informatics with other areas of knowledge. The theoretical aspects of teaching schoolchildren the technology of creating chatbots are considered: the characteristics of the basic concepts, historical information, the most common classifcation, the mechanism for processing user requests by the chatbot.

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Wheeler, Carolyn V. "Regulating AI Therapy Chatbots: A Call for Federal Oversight." Texas A&M Law Review 12, no. 2 (2025): 891–923. https://doi.org/10.37419/lr.v12.i2.9.

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While artificial intelligence therapy chatbots continue to develop and increase in popularity, there is little regulatory oversight for this burgeoning industry. Regulation is needed because there is a high probability for harm when artificial intelligence is used in the mental health therapy industry, yet there is no consensus on standards that apply. Artificial intelligence therapy chatbots are currently only regulated by indirect, suboptimal liability schemes. State governments could regulate them by considering them human practitioners or telehealth services, or the federal government coul

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Omarov, Batyrkhan, Sergazi Narynov, Zhandos Zhumanov, Elmira Alzhanova, Aidana Gumar, and Mariyam Khassanova. "Artificial intelligence enabled conversational agent for mental healthcare." International journal of health sciences 6, no. 3 (2022): 1544–55. http://dx.doi.org/10.53730/ijhs.v6n3.13239.

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Conversational agents are a software program that can converse with users in the manner of a real-world conversation. Artificial intelligence (AI) is not complete without conversation modeling. The most difficult artificial intelligence endeavor since its start has been developing an effective chatbot application. Despite chatbots may do a variety of tasks, their main duty is to accurately understand human speech and respond appropriately. Previously, manual patterns and instructions or simple statistical methods were used to create chatbots architectures. Due to its improved capacity for trai

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Szűts, Zoltán, and Jinil Yoo. "A chatbotok jelensége, taxonómiája, felhasználási területei, erősségei és kihívásai." Információs Társadalom 18, no. 2 (2018): 41. http://dx.doi.org/10.22503/inftars.xviii.2018.2.3.

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A chatbotok a 2010-es évek elején jelentek meg tömegesen az üzleti intelligencia specifikus formájaként. A gyakran mesterséges intelligenciával bíró interaktív technológia utat talált az online csevegőprogramok világába, és ma már több csatornán találkozhatnak vele a felhasználók. A chatbotok nem csupán a virtuális asszisztensek részei. De számos szervezet és kormányzat is használja őket weboldalak, applikációk, illetve azonnali üzenetküldő platformok környezetében annak érdekében, hogy termékeiket, ötleteiket, szolgáltatásaikat vagy éppen az általuk fontosnak ítélt témákat promotálják. Tanulm

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Vinita, Kumari Pal, Singh Sonali, Sinha Anshita, and Sohail Shekh Mohammad. "Medical chatbot using AI and NLP." i-manager’s Journal on Software Engineering 16, no. 3 (2022): 46. http://dx.doi.org/10.26634/jse.16.3.18551.

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The use of chatbots has grown rapidly across industries, including marketing, assistive systems, education, healthcare, cultural heritage, and entertainment. This paper discusses the incentives for using chatbots and explains how useful chatbots are in various contexts. As intelligent software and hardware, also known as intelligent agents, are developed and analyzed, Artificial Intelligence (AI) is becoming more and more integrated into daily lives. From manual labor to complex procedures, intelligent agents are capable of performing a wide range of tasks. One of the simplest and most common

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Abdallah, Wael, Arezou Harraf, Osama Mosusa, and Abdalmuttaleb Sartawi. "Investigating Factors Impacting Customer Acceptance of Artificial Intelligence Chatbot: Banking Sector of Kuwait." International Journal of Applied Research in Management and Economics 5, no. 4 (2023): 45–58. http://dx.doi.org/10.33422/ijarme.v5i4.961.

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The Purpose: This study investigates the role of Artificial Intelligence- chatbot (AI chatbot) quality and AI chatbot users across various banking needs and its impact on customer acceptance of AI chatbots through the mediating role of perceived usefulness and ease of use. Design/methodology/approach – This quantitative study uses a cross-sectional time dimension. The questionnaire of this study was developed using multiple academic sources. Partial least square structural equation modeling was used to analyze the data, and the SmartPLS 4 software was used for the calculation. Finding - The fi

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Magdalena, Lena. "Implementation Chatbot for SMEs Using Artificial Intelligence Markup Language to Improve Customer Integration and Business Performance." Applied Information System and Management (AISM) 6, no. 2 (2023): 69–76. http://dx.doi.org/10.15408/aism.v6i2.31847.

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Chatbots have been extensively adopted to produce more positive customer experiences as customers now spend more time in digital surroundings. Despite the technological advancement and benefits of chatbots for client service, exploration of chatbot operations for small and medium-sized enterprises (SMEs) is limited. The absence of exploration explaining the struggles faced by SMEs contributes to the gap in SMEs’ chatbot adoption. This exploration determines the features and rudiments that fit with SMEs’ characteristics and their guests' interactions with chatbots. A mixed-methods approach is u

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Wüst, Kirsten, and Kerstin Bremser. "Artificial Intelligence in Tourism Through Chatbot Support in the Booking Process—An Experimental Investigation." Tourism and Hospitality 6, no. 1 (2025): 36. https://doi.org/10.3390/tourhosp6010036.

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AI-controlled chatbots have been used in travel services for some time and range from simple hotel reservations to personalized travel recommendations. However, the acceptance of chatbots compared to human interlocutors has not yet been extensively studied experimentally in the tourism context. In this experimental, randomized, vignette-based, preregistered 2 (agent: AI chatbot/human counterpart) × 3 (situation: positive/neutral/negative) between-subjects design, we hypothesized that booking intention is reduced in chatbots compared to human agents and in situations where the booking can only

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Ndlovu, Belinda, Sharmaine Ndlovu, Sibusisiwe Dube, and Kudakwashe Maguraushe. "Artificial Intelligence Chatbots in Education: Academics Beliefs, Concerns and Pathways for Integration." Indonesian Journal of Information Systems 7, no. 2 (2025): 109–22. https://doi.org/10.24002/ijis.v7i2.10805.

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Although globally there are mixed perceptions regarding the academic integrity of chatbots, existing research has mainly focused on developed nations, neglecting the unique perspectives of academics in developing countries, with different contextual, environmental, and technological settings. This study presents lecturers’ perceptions of using Artificial Intelligence (AI) chatbots in education. Guided by the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), this research collected quantitative and qualitative data from 140 lecturers and three administrators from a STEM-based Zimba

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Sohal, Karpal Singh, and Uchenna Okechi. "Evaluating the ability of artificial intelligence chatbots to respond to oral cancer questions: A descriptive study." International Health Trends and Perspectives 5, no. 1 (2025): GR13–17. https://doi.org/10.32920/ihtp.v5i1.2308.

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Background: Individual diagnosed with cancer have excessive informational needs regarding various aspects of their disease. This need pushes them to search for information from multiple sources including Artificial Intelligence chatbots. This study aimed to evaluate the accuracy of responses of Artificial Intelligence chatbots to questions regarding different aspects of oral cancers. Methods: Nineteen dichotomous (yes/no) questions were posed to 8 different Artificial Intelligence Chatbots (Chat GTP 3.5, Gemini, Perplexity, Claude, Chat GTP alternative, TextCortex, YouChat, and CoPilot). The r

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Gezgin, Deniz Mertkan, Sedef Mert, Aysima İrem Kesici, and Soner Yıldırım. "Understanding University Students' Intentions to Use Chatbots in Computer Programming Education: A Quantitative Study." Sakarya University Journal of Education 14, Special Issue-AI in Education (2024): 142–58. http://dx.doi.org/10.19126/suje.1426980.

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Recently, the use of artificial intelligence in education is one of the more frequently discussed issues by researchers. Especially the use of artificial intelligence applications called chatbots or artificial intelligence language models in education is increasing day by day. Although the use of chatbots in education is possible for every course, it is observed that students intend to use chatbots as an assistant, an instructor, or a guide, especially in computer programming courses, which are difficult to learn and have complex structures. In this context, the aim of this study is to examine

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Černý, Michal. "Educational Psychology Aspects of Learning with Chatbots without Artificial Intelligence: Suggestions for Designers." European Journal of Investigation in Health, Psychology and Education 13, no. 2 (2023): 284–305. http://dx.doi.org/10.3390/ejihpe13020022.

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Chatbots without artificial intelligence can play the role of practical and easy-to-implement learning objects in e-learning environments, allowing a reduction in social or psychological isolation. This research, with a sample of 79 students, explores the principles that need to be followed in designing this kind of chatbot in education in order to ensure an acceptable outcome for students. Research has shown that students interacting with a chatbot without artificial intelligence expect similar psychological and communicative responses to those of a live human, project the characteristics of

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Sanket, Jadhav. "Artificial Intelligence- Healthcare in Chatbot." International Journal of Advance and Applied Research S6, no. 23 (2025): 217–22. https://doi.org/10.5281/zenodo.15195091.

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<em>The integration of chatbots in healthcare has emerged as a transformative technology aimed at improving patient care, enhancing administrative efficiency, and providing accessible medical support. By leveraging artificial intelligence and natural language processing, healthcare chatbots are capable of engaging with patients, offering information on symptoms, scheduling appointments, and providing medication reminders. These virtual assistants also serve as an initial point of contact, helping healthcare professionals manage patient inquiries more effectively. The implementation of chatbots

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Anjali, Singhal, and Sharma Vishakha. "AI Based Computer Program to Simulate and Process Human Conversation." International Journal of Innovative Science and Research Technology 7, no. 5 (2022): 1483–91. https://doi.org/10.5281/zenodo.6766943.

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Chatbots are made to ease the ache that the industries are going through these days .Chatbots are prepared to revolutionize user Interface design. The troubles that the students have been going through were that they want to manually go to the college to get their queries responded by using assist table. In this paper, we proposed a system, in which a chatbot generates a dynamic and live response for the user’s queries. The proposed system is based on Artificial Intelligence powered chatbot. This proposed system identifies the user context, which triggers the particular intent for respon

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B.S., Prof Biradar. "AI HealthCare Chat Bot System." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem29592.

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Through chatbots one can communicate with text or voice interface and get reply through artificial intelligence. Typically, a chat bot will communicate with a real person Chatbots are programs built to automatically engage with received messages. Chatbots can be programmed to respond the same way each time, to respond differently to messages containing certain keywords and even to use machine learning to adapt their responses to fit the situation. This healthcare chatbot system will help hospitals to provide healthcare support online 24 x 7, it answers deep as well as general questions. It als

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Panjaitan, Hapizin Yonani, Yolanda Masnita, and Kurniawati Kurniawati. "Penambahan Variabel Tingkat Kecerdasan dari Chatbot untuk Mempengaruhi Kepercayaan Pengguna dalam Aplikasi Telekonsultasi Kesehatan." J. Sistem Info. Bisnis 13, no. 1 (2023): 78–87. http://dx.doi.org/10.21456/vol13iss1pp78-87.

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The use of Artificial Intelligence (AI) technology is often encountered in everyday life, especially in the world of business marketing, namely chatbots which are part of the implementation of Natural Language Processing (NLP). However, in its application, it is still felt that it cannot meet the needs of consumers for the specific questions they often ask, especially for those who use health teleconsultation services. In this study, the intelligence variable is added as an additional variable to answer the level of user trust in the chatbot. The data used in this study are quantitative with t

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Agarwal, Saksham. "Developing An Artificial Intelligence Based Chatbot For And Early And Effective Prediction Of Various Diseases." International Journal of Research in Medical Sciences and Technology 17, no. 1 (2024): 76–83. http://dx.doi.org/10.37648/ijrmst.v17i01.011.

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Artificial Intelligence (AI) and chatbot technology have emerged as promising solutions for enhancing healthcare services. AI chatbots, with their ability to mimic human-like interactions, are revolutionizing tasks such as patient triaging and medical advice. This review focuses on the use of AI chatbots in disease prediction, exploring their effectiveness and potential for early intervention and treatment. The aim of this systematic literature review is to analyze studies related to AI chatbot technology in disease prediction. A total of 24 selected journals were systematically reviewed based

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