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Journal articles on the topic 'AI Chatbots'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Nze, Stella Udoka. "AI-Powered Chatbots." Global Journal of Human Resource Management 12, no. 6 (2024): 34–45. http://dx.doi.org/10.37745/gjhrm.2013/vol12n63445.

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Artificial Intelligence (AI)-powered chatbots have emerged as a transformative technology, fundamentally changing how businesses and organizations engage with their customers by providing real-time, personalized communication. These chatbots, driven by sophisticated algorithms, utilize Natural Language Processing (NLP) and Machine Learning (ML) to understand, interpret, and respond to human language in a manner that is contextually appropriate and relevant. As a result, AI-powered chatbots enhance both user experience and operational efficiency by automating routine interactions, reducing resp

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Satiti, Laras Hayu, Endang Fauziati, and Endang Seytaningsih. "AI Chatbot as an Effective English Teaching Partner for University Students." International Journal of Educational Research & Social Sciences 5, no. 3 (2024): 463–69. https://doi.org/10.51601/ijersc.v5i3.820.

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This study investigated the effectiveness of an AI chatbot for improving English language skills among Indonesian university students. In order to address the research question, the researchers conducted an analysis of responses to a 20-item questionnaire distributed via Google Form among a sample of 95 university students. The survey was conducted to evaluate student perceptions of the chatbot's usability, language accuracy, feedback quality, and overall strengths. The findings revealed high student satisfaction with all aspects of the chatbot. Students agreed that the chatbot was user-friend

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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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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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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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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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Hong, Hyeonmi, and Sunghee Shin. "Effects of the use of a conversational artificial intelligence chatbot on medical students’ patient-centered communication skill development in a metaverse environment." Journal of Medicine and Life Science 21, no. 3 (2024): 92–101. http://dx.doi.org/10.22730/jmls.2024.21.3.92.

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This study investigated how the use of a conversational artificial intelligence (AI) chatbot improved medical students' patient-centered communication (PCC) skills and how it affected their motivation to learn using innovative interactive tools such as AI chatbots throughout their careers. This study adopted a onegroup post-test-only design to investigate the impact of AI chatbot-based learning on medical students' PCC skills, their learning motivation with AI chatbots, and their perception towards the use of AI chatbots in their learning. After a series of classroom activities, including meta

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Li, Jinjie, Lianren Wu, Jiayin Qi, Yuxin Zhang, Zhiyan Wu, and Shuaibo Hu. "Determinants Affecting Consumer Trust in Communication With AI Chatbots." Journal of Organizational and End User Computing 35, no. 1 (2023): 1–24. http://dx.doi.org/10.4018/joeuc.328089.

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This paper summarized the factors that influence consumers' trust in AI chatbots and divided it into chatbot-related factors (expertise, anthropomorphism, responsiveness, and ease of use), company-related factors (perceived risk, brand trust, human support), and consumer-related factors (privacy concerns). This research attempts to explore the mechanism of human-AI chatbots trust formation and answer the question of how to promote consumers' trust in AI chatbots. The results found that the chatbot-related factors (expertise, responsiveness, and anthropomorphism) positively affect consumers' tr

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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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Lee, Chaewook, and Namin Shin. "A Case Study on Middle School Students' Learning Experience in Free English Conversation with Generative AI Chatbots." Korean Association For Learner-Centered Curriculum And Instruction 25, no. 12 (2025): 1–19. https://doi.org/10.22251/jlcci.2025.25.12.1.

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Objectives This study explored the pedagogical potential of generative, voice-enabled, conversational, and goal-oriented chatbots for English teaching and learning by analyzing the free conversation experiences between a generative AI chatbot and middle school students. Methods Video-recorded free conversations between a generative English-speaking chatbot developed by Company Y and three middle school students were transcribed and analyzed. Based on the research questions, both qualitative and quantitative analyses were conducted, including text analysis, readability assessment, lexical analy

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Joshi, Kalpesh. "AI Mental Health Therapist Chatbot." International Journal for Research in Applied Science and Engineering Technology 11, no. 11 (2023): 308–11. http://dx.doi.org/10.22214/ijraset.2023.56393.

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Chatbots have become very popular these days as the technology is growing with a very high rate. Due to advancements in the technology chatbots have made our lives easier as we can get to know about many things at our finger tips. So, there are many chatbots available which do the work related to particular things. One such chatbot is ChatGPT, Bard etc. AI chatbots provide a more human like experience with the help of natural language processing and leverage semantics to understand the context of what a person says. Thinking of it we have created a AI Mental Health Therapist Chatbot to provide

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M., N. O. Sadiku, R. Nelatury S., and Musa S.M. "AI in Chatbots: A Primer." Journal of Scientific and Engineering Research 8, no. 2 (2021): 16–22. https://doi.org/10.5281/zenodo.10574855.

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<strong>Abstract </strong>A chatbot is a computer program that imitates human conversation.  It will usually respond in a conversational style, and it may carry out actions in response to your conversation.  Designed to simulate the way a human would behave as a conversational partner, chatbot systems typically require continuous tuning and testing. Amazon, Apple, Google, Microsoft, and Slack support chatbots. This paper provides a primer on artificial intelligence-based chatbots.

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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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Pandey, Siddhant, Nikhil Chandra Pandey, and Yash Bajaj. "AI Enabled Chatbot." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 1761–64. http://dx.doi.org/10.22214/ijraset.2024.60147.

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Abstract: As technology continues its rapid evolution, the integration of Artificial Intelligence (AI) into chatbot systems emerges as a pivotal frontier in reshaping human-computer interaction. This research paper embarks on a comprehensive exploration of the intricate synergy between AI technologies and chatbot development, with a primary focus on elevating user interactions to unprecedented levels of sophistication and intuitiveness. By delving into a nuanced understanding of methodologies, technologies, and challenges, this study aims to provide a holistic perspective on the present state

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Cuddapah Anitha. "Applications of Natural Language Processing in Chatbot." Journal of Information Systems Engineering and Management 10, no. 33s (2025): 1099–106. https://doi.org/10.52783/jisem.v10i33s.5936.

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NLP has revolutionized chatbots into essential instruments for both enterprises and people. NLP improves the chatbot's capacity to emulate human-like interactions by utilizing techniques such as intent identification, sentiment analysis, and contextual comprehension. Natural Language Processing (NLP) has transformed chatbot interactions by allowing them to efficiently process, comprehend, and produce human language. This study examines many uses of natural language processing in chatbots, encompassing customer service and healthcare. It analyzes the technological progress in NLP that has impro

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Harbola, Aditya. "Design and Implementation of an AI Chatbot for Customer Service." Mathematical Statistician and Engineering Applications 70, no. 2 (2021): 1295–303. http://dx.doi.org/10.17762/msea.v70i2.2321.

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    Abstract  A company's customer service is very important to its success. It can help boost revenue and retain customers. As digital technology has increased the demand for 24-hour support, businesses are now turning to AI chatbots to provide better and more personalized service. Artificial intelligence (AI) chatbots can help businesses improve the customer experience and reduce the workload of their customer service agents. The paper presents the development and implementation of a chatbot utilizing NLP and AI techniques. It aims to provide efficient and perso

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Angelin, Reshma S., and P. Jesintha. "AI-powered chatbots for customer service: Effectiveness and user satisfaction." i-manager's Journal on Data Science & Big Data Analytics 3, no. 1 (2025): 40. https://doi.org/10.26634/jds.3.1.21278.

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AI-powered chatbots are one of the emerging technologies in the quickly changing world. AI chatbots are mostly utilized by websites, apps, and businesses. An artificial intelligence chatbot (AI) is computer software that mimics human speech using AI. AI-powered chatbots are frequently employed in lead generation, sales, and customer service. This study's primary goals are to determine how well chatbot technology meets customer needs and to examine user satisfaction with AI-powered chatbots. Convenience sampling was used to choose 90 respondents for this investigation. For this study, both prim

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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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Lee, Won-Jun. "Service Failure by Human, Service Recovery by AI Chatbot: The Impact of Justice, AI Efficacy on Recovery Effort." Virtual Economics 7, no. 4 (2024): 48–63. https://doi.org/10.34021/ve.2024.07.04(3).

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Artificial intelligence has led to significant innovation in the marketing field, with intelligent chatbots increasingly involved in both customer service provision and service failure recovery processes. While recent research on AI services and intelligent chatbots has been increasing, there has been little research on the collaborative efforts between AI chatbots and human agents for service failure recovery and users' perceptions of the process. Accordingly, the aim of this study is to assess the impact of AI chatbot intervention in recovering from service failures made by human agents on k

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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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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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Sahu, Sneha. "The Role of AI Chatbots in Enhancing Online Customer Experiences." International Scientific Journal of Engineering and Management 04, no. 06 (2025): 1–9. https://doi.org/10.55041/isjem04280.

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Abstract This research paper explores the transformative role of AI-powered chatbots in reshaping online customer experiences. With the rise of e-commerce and digital services, businesses are increasingly adopting AI chatbots to offer instant support, personalized interactions, and round-the-clock availability. The study investigates how chatbot integration improves customer satisfaction, operational efficiency, and brand engagement. Using both primary and secondary data, the research analyzes key success factors, challenges, and future directions in chatbot technology. The findings suggest th

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El Azhari, Khadija, Imane Hilal, Najima Daoudi, and Rachida Ajhoun. "SMART Chatbots in the E-learning Domain: A Systematic Literature Review." International Journal of Interactive Mobile Technologies (iJIM) 17, no. 15 (2023): 4–37. http://dx.doi.org/10.3991/ijim.v17i15.40315.

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Integrating Artificial Intelligence (AI) technologies implied significant growth in variousdomains. Furthermore, many companies integrate AI technologies into their products toenhance the quality of their services. Chatbots are among the AI technologies widely used inseveral areas, especially E-learning. Chatbots support learners in their learning processes byhelping them to find the appropriate answers to their questions. We aim to conduct a systematicliterature review (SLR) to uncover the use of AI chatbots to offload teachers from repetitive andmassive tasks. This article surveys the litera

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Mondal, Himel, Devendra Nath Tiu, Shaikat Mondal, Rajib Dutta, Avijit Naskar, and Indrashis Podder. "Evaluating Accuracy and Readability of Responses to Midlife Health Questions: A Comparative Analysis of Six Large Language Model Chatbots." Journal of Mid-life Health 16, no. 1 (2025): 45–50. https://doi.org/10.4103/jmh.jmh_182_24.

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ABSTRACT Background: The use of large language model (LLM) chatbots in health-related queries is growing due to their convenience and accessibility. However, concerns about the accuracy and readability of their information persist. Many individuals, including patients and healthy adults, may rely on chatbots for midlife health queries instead of consulting a doctor. In this context, we evaluated the accuracy and readability of responses from six LLM chatbots to midlife health questions for men and women. Methods: Twenty questions on midlife health were asked to six different LLM chatbots – Cha

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Davar, Narius Farhad, M. Ali Akber Dewan, and Xiaokun Zhang. "AI Chatbots in Education: Challenges and Opportunities." Information 16, no. 3 (2025): 235. https://doi.org/10.3390/info16030235.

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With the emergence of artificial intelligence (AI), machine-learning (ML), and chatbot technologies, the field of education has been transformed drastically. The latest advancements in AI chatbots (such as ChatGPT) have proven to offer several benefits for students and educators. However, these benefits also come with inherent challenges, that can impede students’ learning and create hurdles for educators. The study aims to explore the benefits and challenges of AI chatbots in educational settings, with the goal of identifying how they can address existing barriers to learning. The paper begin

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Wasif, Mohammad. "AI-Teaching Chatbot: Personalized Learning Platform with an AI Teaching Bot." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem48384.

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Over the past few years, educators have faced mounting pressure to deliver personalized support to ever-larger and more diverse student cohorts—a challenge that traditional methods struggle to meet effectively. AI-powered teaching chatbots have emerged as a promising solution, offering students instant, tailored explanations and practice exercises around the clock. In a recent pilot involving 100 varied academic queries, our chatbot achieved 92% factual accuracy, mirroring expert-verified answers in most cases. Meanwhile, average response times consistently fell below five seconds, ensuring le

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Varitimiadis, Savvas, Konstantinos Kotis, Dimitra Pittou, and Georgios Konstantakis. "Graph-Based Conversational AI: Towards a Distributed and Collaborative Multi-Chatbot Approach for Museums." Applied Sciences 11, no. 19 (2021): 9160. http://dx.doi.org/10.3390/app11199160.

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Nowadays, museums are developing chatbots to assist their visitors and to provide an enhanced visiting experience. Most of these chatbots do not provide a human-like conversation and fail to deliver the complete requested knowledge by the visitors. There are plenty of stand-alone museum chatbots, developed using a chatbot platform, that provide predefined dialog routes. However, as chatbot platforms are evolving and AI technologies mature, new architectural approaches arise. Museums are already designing chatbots that are trained using machine learning techniques or chatbots connected to knowl

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Ayuningtyas, Pratika, and Hery Oktafiandi. "Chatbot AI Platform Sebagai Media Peningkatan Kemampuan Belajar Siswa." Jurnal Ekonomi dan Teknik Informatika 12, no. 1 (2024): 1–6. http://dx.doi.org/10.37601/jneti.v12i1.246.

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Pesatnya perkembangan teknologi Artificial Intelligence di dunia pendidikan dengan penggunaan AI sebagai media pembelajaran yang dapat diakses siswa tanpa batas waktu. Chatbots merupakan teknologi kecerdasan buatan yang dapat digunakan. Penggunaan chatbots sebagai media pembelajaran terbukti memberikan banyak dampak positif dalam pembelajaran. Perancangan chatbot dirancang untuk memenuhi kebutuhan siswa agar dapat menyadari manfaat penggunaan chatbots sebagai media pembelajaran dalam peningkatan kemampuan belajar siswa. Dalam perancangan dan pengembangan chatbot, digunakan template smojo.ai ya

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Halvankar, Amol. "College Enquiry For Student using AI ChatBot." International Scientific Journal of Engineering and Management 03, no. 03 (2024): 1–9. http://dx.doi.org/10.55041/isjem01409.

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A chat bot is a computer program that may initiate conversations between users and other computers. A larger audience can use chatbot technology, which is text-based and safe to use.. Chatbots for university research are developed using AI algorithms that interpret user messages and assess user demands. The aims of the chatbot's responses is to match the user's input while avoiding making oneself physically available to the institution in response to queries. The program responds to the students' inquiries by applying its intelligence. For using this type applications, natural processing langu

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Aslam, Farhan. "The Impact of Artificial Intelligence on Chatbot Technology: A Study on the Current Advancements and Leading Innovations." European Journal of Technology 7, no. 3 (2023): 62–72. http://dx.doi.org/10.47672/ejt.1561.

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Artificial intelligence (AI) has had a profound impact on various industries, and one prominent domain where its influence is evident is in chatbot technology. Chatbots, computer programs designed to simulate human conversation, have evolved significantly through the advancements in AI, becoming more sophisticated and intelligent. This research paper aims to explore the current state of AI-powered chatbot technology, focusing on the latest advancements and leading innovations. The study delves into the application of natural language processing (NLP) algorithms, machine learning models, and de

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Mubasher Rasheed, Iqra Sami, and Aliza Tabassam. "The Impact of AI-Powered Chatbots on Customer Satisfaction and Business Performance in E-Commerce." Social Science Review Archives 3, no. 1 (2025): 2390–401. https://doi.org/10.70670/sra.v3i1.547.

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The increasing reliance on artificial intelligence (AI) in e-commerce has led to the widespread adoption of AI-powered chatbots for customer service. These chatbots, equipped with machine learning and natural language processing (NLP), provide automated and personalized interactions, significantly transforming the customer experience. Their ability to offer instant support and personalized recommendations has made them an integral part of online retail businesses. This study aims to evaluate the impact of AI-driven chatbots on customer satisfaction, retention, and business profitability. It ex

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Alsadoun, Abdullah Ali, and Asem Nasser Alnasser. "Role of artificial intelligence chatbot marketing in enhancing customer satisfaction and loyalty in digital shopping experiences." International Journal of Innovative Research and Scientific Studies 8, no. 1 (2025): 1902–9. https://doi.org/10.53894/ijirss.v8i1.4826.

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This study aims to explore the impact of AI chatbot marketing on customer satisfaction and loyalty within the context of online shopping in Saudi Arabia. It seeks to understand how the usability and responsiveness of AI chatbots influence customer perceptions and behaviors, ultimately contributing to enhanced satisfaction and loyalty. A cross-sectional research design was employed, utilizing a structured questionnaire to collect data from 271 customers with prior experience in online shopping. Convenience sampling was used to gather responses, and the questionnaire included dimensions related

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P Deekshita, K Neeharika, M. Sai Haritha, P. Jagan Mohan, and Y Sri Bindu. "PDF CHAT_BOT USING GENERATIVE AI (LLMS&RAG)." Journal of Nonlinear Analysis and Optimization 15, no. 01 (2024): 1727–32. http://dx.doi.org/10.36893/jnao.2024.v15101.1727-1732.

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This paper delves into the increasing craziness of planting chatbots and artificially intelligent systems (AI) in academia and disquisition. Chatbots are employed even more frequently to deliver adapted backing, attack enterprises, and develop fascinating spaces for knowledge. Chatbots empower directors to hone education while delivering actual-time support for pupils with assignments and examinations and issue explanations by outsourcing executive tasks. The creation of a PDF chatbot using Large Language Models (LLMs) in generative AI is one example of such an application. This project uses p

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Cynthia Chizoba Ekechi, Excel G Chukwurah, Lawrence Damilare Oyeniyi, and Chukwuekem David Okeke. "AI-INFUSED CHATBOTS FOR CUSTOMER SUPPORT: A CROSS-COUNTRY EVALUATION OF USER SATISFACTION IN THE USA AND THE UK." International Journal of Management & Entrepreneurship Research 6, no. 4 (2024): 1259–72. http://dx.doi.org/10.51594/ijmer.v6i4.1057.

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As organizations increasingly integrate artificial intelligence (AI)-infused chatbots into their customer support strategies, understanding user satisfaction becomes paramount. This abstract provides an overview of a cross-country evaluation that examines user experiences with AI-driven chatbots for customer support, drawing insights from both the USA and the UK. The evaluation explores the deployment of AI-infused chatbots in customer service scenarios, focusing on how users in these two regions interact with and perceive the effectiveness of chatbot interactions. The study considers the impa

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Hoang, Ngoc Tue, Duong Ngoc Han, and Duc Hanh Le. "Exploring Chatbot AI in improving vocational students’ English pronunciation." AsiaCALL Online Journal 14, no. 2 (2023): 140–55. http://dx.doi.org/10.54855/acoj.231429.

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Thanks to technological development, there has been a remarkable leap in the application of artificial intelligence, especially in education. This paper examines the effectiveness of Chatbot Mission Fluent, an AI chatbot, in improving English pronunciation among vocational students in a Hanoi college. Sixty vocational students participate in an A1 English course hosted in a quasi-experimental research design. After the course, participants were interviewed and asked to complete a survey questionnaire to collect their feedback on the AI Chatbot. The experimental group showed notably better Engl

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Klayklueng, Nopparat, and Pinanta Chatwattana. "Architecture of the Service Platform via Artificial Intelligence Chatbots to Promote Students’ Digital Competency." International Education Studies 18, no. 3 (2025): 70. https://doi.org/10.5539/ies.v18n3p70.

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The architecture of the service platform via AI chatbots is a research tool which was fabricated to specifically promote digital competency through the use of AI chatbots. The architecture of the service platform herein was initiated by the application of artificial intelligence technology integrated with chatbot technology to create the user interface that can interact with users through the use of languages; thereby, this service platform shall analyze questions or keywords from users and then respond with optimal answers. The objectives of this research are (1) to synthesize the conceptual

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Nur Asvia, Salwa, Siti Miftahur Rohmah, and Zahidah Nabilah. "Chatbot AI Sebagai Mediator Perceraian Di Indonesia Dalam Tinjauan Hukum Positif." Interdisciplinary Explorations in Research Journal 2, no. 2 (2024): 655–67. http://dx.doi.org/10.62976/ierj.v2i2.525.

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Abstract Divorce in Indonesia is a complex social problem. Mediation is a more peaceful and constructive alternative to trial. The development of AI technology opens up new opportunities in mediation, including through the use of AI chatbots. This journal analyzes the potential and challenges of using AI chatbots as mediators in divorce cases in Indonesia within the framework of positive law. This research uses a normative juridical research method with a qualitative approach. Data was collected through literature study and legal analysis of relevant laws and regulations. The results showed th

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Subramaniam, Nantha Kumar. "Enabling Learning of Programming through Educational Chatbot." International Journal of Research and Innovation in Applied Science IX, no. XII (2025): 470–77. https://doi.org/10.51584/ijrias.2024.912042.

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This research investigates the integration of AI-powered chatbots as transformative tools to enhance the teaching and learning of programming, specifically targeting Java programming in an open and distance learning (ODL) environment. The chatbot was conceptualized and developed using principles from constructivist, problem-based, and active learning theories to support a learner-centric approach. Designed to offer multimodal content, real-time feedback, and interactive problem-solving exercises, the chatbot aims to reduce cognitive load and facilitate a deeper understanding of complex program

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Purkar, Ayesha Shehbaz. "MENTAL HEALTH AI CARE CHATBOT." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem40887.

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Always Mental disability and Mental health care have been overlooked. This is puzzling considering that 8% of the world's population suffers from mental impairments, which are widespread. A scalable option that offers an interactive way to engage consumers in behavioral health interventions powered by artificial intelligence is a chatbots. Anxiety, stress, etc. provides a critical first step in enhancing chatbot design and revealing the advantages and disadvantages of the chatbots. In this report, a customized chatbot framework is proposed with a blended neural network design. The recommended

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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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Mathew, Nikita. "The Impact of AI-Powered Chatbots on Personal Finance Management." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (2025): 5715–23. https://doi.org/10.22214/ijraset.2025.69664.

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Abstract: AI-powered chatbots have revolutionized personal finance management by offering interactive, user-friendly solutions for budgeting, investment planning, and financial decision-making. This paper explores the implications of AI chatbot adoption in personal finance, focusing on the opportunities and challenges it presents. Through a review of existing literature and case studies, we explore how AI-powered chatbots are transforming personal finance practices, enhancing user engagement, and providing tailored financial advice. We also address challenges such as user trust, data privacy,

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Kothawade, Tejas. "AI Powered Student Assistant ChatBot." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem41186.

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The increasing number of questions in the admission process of engineering and polytechnic colleges under the Department of Technical Education, is making it impossible for institutions to manage queries using traditional methods. To enhance communication and provide relevant information, centrally developed AI-enabled chatbots can be used to act as virtual assistants. The chatbot will automatically answer questions related to admissions, eligibility, fees, scholarships, courses, hostel facilities, and placement times. The chatbot, available 24/7, will reduce the workload of employees, enhance

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Azevedo, Nádila, Gustavo Aquino, Leonardo Nascimento, et al. "A Novel Methodology for Developing Troubleshooting Chatbots Applied to ATM Technical Maintenance Support." Applied Sciences 13, no. 11 (2023): 6777. http://dx.doi.org/10.3390/app13116777.

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The banking industry has been employing artificial intelligence (AI) technologies to enhance the quality of its services. More recently, AI algorithms, such as natural language understanding (NLU), have been integrated into chatbots to improve banking applications. These chatbots are typically designed to cater to customers’ needs. However, research in the development of troubleshooting chatbots for technical purposes remains scarce, especially in the banking sector. Although a company may possess a knowledge database, a standard methodology is essential to guiding an AI developer in building

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Raza, Asif, Mirza Adnan Baig, Mustafa Latif, Muhammad Ali Akhtar, Muhammad Umer Farooq, and Waseemullah. "Enabling Context-based AI in Chatbots for conveying Personalized Interdisciplinary Knowledge to Users." Engineering, Technology & Applied Science Research 13, no. 6 (2023): 12231–36. http://dx.doi.org/10.48084/etasr.6313.

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Adaptable chatbots have revolutionized user interactions by dynamically tailoring responses to users' knowledge and explainability preferences in interdisciplinary domains, such as AI in education and medicine. While strides have been made in model explainability, little attention has been paid to making models contextually aware and responsive to users' background knowledge. This study investigated interdisciplinary knowledge learning principles in a different domain, where the chatbot's contextual understanding is enhanced through dynamic knowledge graphs that capture users' past interaction

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Saha, Sabyasachi. "The Role of AI-Powered Chatbots in Reducing Student Anxiety in Online Learning Environments." International Journal for Research in Applied Science and Engineering Technology 13, no. 3 (2025): 155–63. https://doi.org/10.22214/ijraset.2025.67066.

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This dissertation examines the efficacy of AI-powered chatbots in alleviating student anxiety within online learning environments, addressing a pressing concern as mental health challenges among digitally engaged learners continue to rise. Employing a mixed-methods research design, the study integrates qualitative and quantitative data to evaluate the impact of AI chatbots on student well-being. Data collection includes student feedback on chatbot interactions, anxiety levels measured through validated psychological scales (e.g., GAD-7, STAI), and usage analytics derived from chatbot platforms

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Sarode, Prof Vaishali, Bhakti Joshi, Tejaswini Savakare, and Harshada Warule. "A Real Time Chatbot Using Python." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 7385–89. http://dx.doi.org/10.22214/ijraset.2023.53453.

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Abstract: Real-time chatbots developed using Python have emerged as powerful tools for enhancing customer support, improving user experiences, and streamlining business processes. Leveraging Python's extensive libraries and frameworks, such as NLTK, Flask, and telebot, developers can build intelligent and scalable chatbot systems.This paper provides an overview of the key components and techniques involved in developing a real-time chatbot using Python. It explores the process of requirement gathering, use case definition, conversation flow design, and performance optimization. Integration wit

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Taeza, Jordan. "The role of AI-powered chatbots in enhancing second language acquisition: An empirical investigation of conversational AI assistants." Edelweiss Applied Science and Technology 9, no. 3 (2025): 2616–29. https://doi.org/10.55214/25768484.v9i3.5853.

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This study explores the role of AI-powered chatbots in enhancing second language acquisition (SLA), focusing on speaking proficiency, learner engagement, and confidence. A mixed-methods, quasi-experimental design was employed involving 60 intermediate ESL learners divided into a chatbot-assisted experimental group and a control group using traditional practice. Over six weeks, the experimental group engaged in structured interactions with a conversational AI chatbot offering real-time feedback. Pre- and post-tests, engagement surveys, and interviews were used for data collection. Findings reve

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Patil, Ritik, and Kusum Lata Dhiman. "College Information Portal Ai Chatbot." International Scientific Journal of Engineering and Management 04, no. 03 (2025): 1–7. https://doi.org/10.55041/isjem02508.

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A chatbot is a software application designed to facilitate interaction between humans and machines using natural language. In an academic environment, chatbots serve as an efficient means of communication, providing instant responses to students' queries. This research focuses on developing a chatbot for a college information system to streamline access to college- related information, reducing the workload on administrative staff. The chatbot is designed to provide details on academic schedules, faculty information, contact details, and upcoming events. It employs artificial intelligence and

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Nicolescu, Luminița, and Monica Teodora Tudorache. "Human-Computer Interaction in Customer Service: The Experience with AI Chatbots—A Systematic Literature Review." Electronics 11, no. 10 (2022): 1579. http://dx.doi.org/10.3390/electronics11101579.

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Artificial intelligence (AI) conversational agents (CA) or chatbots represent one of the technologies that can provide automated customer service for companies, a trend encountered in recent years. Chatbot use is beneficial for companies when associated with positive customer experience. The purpose of this paper is to analyze the overall customer experience with customer service chatbots in order to identify the main influencing factors for customer experience with customer service chatbots and to identify the resulting dimensions of customer experience (such as perceptions/attitudes and feel

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Park, Juyeon, Yeongok Nam, and So-lin Chai. "A Study of Faculty's Perceptions on the Educational Use of AI Chatbots: Focusing on K University." Korean Society of Culture and Convergence 45, no. 10 (2023): 231–42. http://dx.doi.org/10.33645/cnc.2023.10.45.10.231.

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The purpose of this study is to analyze faculty's perceptions of AI chatbots' educational use. For this purpose, an online survey was conducted targeting faculty at K University in Seoul, and a total of 126 responses were analyzed. We derived keywords through both thematic analyses and word cloud analyses and used MANOVA to validate distinctions in AI chatbots comprehension, usage intention, and training requirements. The research findings are as follows: Firstly, 85.7% of professors expressed their intention to use AI chatbots in their teaching. Secondly, faculty anticipated benefits, includi

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