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Journal articles on the topic 'Chatbot'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Musheyev, David, Alexander Pan, Preston Gross, et al. "Readability and Information Quality in Cancer Information From a Free vs Paid Chatbot." JAMA Network Open 7, no. 7 (2024): e2422275. http://dx.doi.org/10.1001/jamanetworkopen.2024.22275.

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ImportanceThe mainstream use of chatbots requires a thorough investigation of their readability and quality of information.ObjectiveTo identify readability and quality differences in information between a free and paywalled chatbot cancer-related responses, and to explore if more precise prompting can mitigate any observed differences.Design, Setting, and ParticipantsThis cross-sectional study compared readability and information quality of a chatbot’s free vs paywalled responses with Google Trends’ top 5 search queries associated with breast, lung, prostate, colorectal, and skin cancers from

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Septiyanti, Nisa Dwi, Muhammad Irfan Luthfi, and Darmawansah Darmawansah. "Effect of Chatbot-Assisted Learning on Students’ Learning Motivation and Its Pedagogical Approaches." Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika 10, no. 1 (2024): 69–77. http://dx.doi.org/10.23917/khif.v10i1.4246.

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Abstract- The use of chatbots in the learning process has been increasingly investigated and applied. While many studies have discussed the chatbot's ability to motivate students' interest in learning, few have examined whether students' perception of learning affects the effectiveness of chatbots and the pedagogical approach taken by chatbots as conversational agents during the learning process. There is a need for new analysis to capture the effects of Chatbot-Assisted Learning (Chatbot-AL) and student-chatbot conversations. In an eight-week semester, 48 first-year undergraduate students par

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Suh, Jeehae. "A Study on the Conformity of Chatbot Builder as a Korean Speech Practice Tool." Korean Society of Culture and Convergence 45, no. 1 (2023): 61–70. http://dx.doi.org/10.33645/cnc.2023.01.45.01.61.

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The purpose of this study is to verify whether chatbots made with chatbot builders are suitable as a Korean speaking practice tool. Chatbot builders, which can be easily produced as chatbots without separate coding knowledge and can design conversations meaningful for learning, have recently been in the spotlight as a learning tool. In this study, chatbots were created using dialog flows, and conversation patterns with chatbots shared by study participants were analyzed. As a result of the analysis, it was found that 35% of all conversations were not successfully completed. Such a conversation

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Sabna, Eka. "CHATBOT SEBAGAI GURU VIRTUAL UNTUK MATA KULIAH DATA MINING." Jurnal Ilmu Komputer 11, no. 2 (2022): 110–15. http://dx.doi.org/10.33060/jik/2022/vol11.iss2.276.

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Abstract  A chatbot is an application (service) that interacts with users through text conversations. Chatbots work to replace the role of humans in serving conversations through messaging applications. The chatbot that is built will be virtual assisting that will help students learn at home. Chatbots can only answer questions based on patterns that have been stored in the chatbot's knowledge base. Chatbots are automated conversational agents that interact with users using natural human language that can help anytime and anywhere. This chatbot is applied as a Virtual Teacher who can prov

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Juliansyah, Dias, Hannie Hannie, and Ade Andri Hendriadi. "Penerapan Uji-T Independen untuk Sistem Chatbot Gaotek." Jurnal Syntax Admiration 5, no. 6 (2024): 2137–46. http://dx.doi.org/10.46799/jsa.v5i6.1224.

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Artificial intelligence has become a primary focus in the development of computer systems that mimic human brain functions. One application is the development of Chatbots to assist in various fields. In this context, the research aims to evaluate the effectiveness of two types of Chatbots, namely Chatbot Gemini and ChatGPT, in providing customer service at GAOTek Inc. Through the application of Independent T-tests, the research findings indicate a significant difference in the performance of the two Chatbots. ChatGPT exhibits a lower average score compared to Chatbot Gemini, demonstrating sign

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Lapeña, José Florencio. "The Updated World Association of Medical Editors (WAME) Recommendations on Chatbots and Generative AI in Relation to Scholarly Publications and International Committee of Medical Journal Editors (ICMJE) Recommendations for the Conduct, Reporting, Editing, and Publication of Scholarly Work in Medical Journals (May 2023)." Philippine Journal of Otolaryngology Head and Neck Surgery 38, no. 1 (2023): 4. http://dx.doi.org/10.32412/pjohns.v38i1.2127.

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On January 20, 2023, the World Association of Medical Editors published a policy statement on Chatbots, ChatGPT, and Scholarly Manuscripts: WAME Recommendations on ChatGPT and Chatbots in Relation to Scholarly Publications.1 There were four recommendations, namely: 1. Chatbots cannot be authors; 2. Authors should be transparent when chatbots are used and provide information about how they were used; 3. Authors are responsible for the work performed by a chatbot in their paper (including the accuracy of what is presented, and the absence of plagiarism) and for appropriate attribution of all sou

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Wang, Kaicheng. "From ELIZA to ChatGPT: A brief history of chatbots and their evolution." Applied and Computational Engineering 39, no. 1 (2024): 57–62. http://dx.doi.org/10.54254/2755-2721/39/20230579.

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Over the years, chatbots have grown to be used in a variety of industries. From their humble beginnings to their current prominence, chatbots have come a long way. From the earliest chatbot ELIZA in the 1960s to todays popular Chatgpt, chatbot language models, codes, and databases have improved greatly with the advancement of artificial intelligence technology.This paper introduces the development of chatbots through literature review and theoretical analysis. It also analyzes and summarizes the advantages and challenges of chatbots according to the current status of chatbot applications and s

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Abu-Haifa, Mohammad, Bara'a Etawi, Huthaifa Alkhatatbeh, and Ayman Ababneh. "Comparative Analysis of ChatGPT, GPT-4, and Microsoft Copilot Chatbots for GRE Test." International Journal of Learning, Teaching and Educational Research 23, no. 6 (2024): 327–47. http://dx.doi.org/10.26803/ijlter.23.6.15.

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This paper presents an analysis of how well three artificial intelligence chatbots: Copilot, ChatGPT, and GPT-4, perform when answering questions from standardized tests, mainly the Graduate Record Examination (GRE). A total of 137 questions with different forms of quantitative reasoning and 157 questions with verbal categories were used to assess the chatbot’s capabilities. This paper presents the performance of each chatbot across various skills and styles tested in the exam. The proficiency of the chatbots in addressing image-based questions is also explored, and the uncertainty level of ea

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Panda, Subhajit, and Navkiran Kaur. "Exploring the viability of ChatGPT as an alternative to traditional chatbot systems in library and information centers." Library Hi Tech News 40, no. 3 (2023): 22–25. https://doi.org/10.1108/LHTN-02-2023-0032.

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Purpose The purpose of this study is to explore the feasibility of using ChatGPT-based chatbot systems as an alternative to traditional knowledge base-based chatbot systems in library and information centers (LICs). Design/methodology/approach The study used a qualitative research approach to examine the viability of ChatGPT-based chatbot systems in LICs. The researchers conducted an extensive literature review and analyzed data collected from interviews with experts in the field of library and information science. Findings The findings of the study reveal that ChatGPT-based chatbot systems ar

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Srivastava, Praveen Ranjan, Harshit Kumar Singh, Surabhi Sakshi, Justin Zuopeng Zhang, and Qiuzheng Li. "Identifying Alternative Options for Chatbots With Multi-Criteria Decision-Making." Journal of Database Management 35, no. 1 (2024): 1–25. http://dx.doi.org/10.4018/jdm.345917.

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Artificial intelligence-powered chatbot usage continues to grow worldwide, and there is ongoing research to identify features that maximize the utility of chatbots. This study uses the multi-criteria decision-making (MCDM) method to find the best available alternative chatbot for task completion. We identify chatbot evaluation criteria from literature followed by inputs from experts using the Delphi method. We apply CRITIC to evaluate the relative importance of the specified criteria. Finally, we list popular alternatives of chatbots and features offered and apply WASPAS and EDAS techniques to

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Holland, Alexis M., William R. Lorenz, Jack C. Cavanagh, et al. "Comparison of Medical Research Abstracts Written by Surgical Trainees and Senior Surgeons or Generated by Large Language Models." JAMA Network Open 7, no. 8 (2024): e2425373. http://dx.doi.org/10.1001/jamanetworkopen.2024.25373.

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ImportanceArtificial intelligence (AI) has permeated academia, especially OpenAI Chat Generative Pretrained Transformer (ChatGPT), a large language model. However, little has been reported on its use in medical research.ObjectiveTo assess a chatbot’s capability to generate and grade medical research abstracts.Design, Setting, and ParticipantsIn this cross-sectional study, ChatGPT versions 3.5 and 4.0 (referred to as chatbot 1 and chatbot 2) were coached to generate 10 abstracts by providing background literature, prompts, analyzed data for each topic, and 10 previously presented, unassociated

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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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Lee, Ju Yoen. "Can an artificial intelligence chatbot be the author of a scholarly article?" Journal of Educational Evaluation for Health Professions 20 (February 27, 2023): 6. http://dx.doi.org/10.3352/jeehp.2022.20.6.

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At the end of 2022, the appearance of ChatGPT, an artificial intelligence (AI) chatbot with amazing writing ability, caused a great sensation in academia. The chatbot turned out to be very capable, but also capable of deception, and the news broke that several researchers had listed the chatbot (including its earlier version) as co-authors of their academic papers. In response, Nature and Science expressed their position that this chatbot cannot be listed as an author in the papers they publish. Since an AI chatbot is not a human being, in the current legal system, the text automatically gener

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Lee, Ju Yoen. "Can an artificial intelligence chatbot be the author of a scholarly article?" Journal of Educational Evaluation for Health Professions 20 (February 27, 2023): 6. http://dx.doi.org/10.3352/jeehp.2023.20.6.

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At the end of 2022, the appearance of ChatGPT, an artificial intelligence (AI) chatbot with amazing writing ability, caused a great sensation in academia. The chatbot turned out to be very capable, but also capable of deception, and the news broke that several researchers had listed the chatbot (including its earlier version) as co-authors of their academic papers. In response, Nature and Science expressed their position that this chatbot cannot be listed as an author in the papers they publish. Since an AI chatbot is not a human being, in the current legal system, the text automatically gener

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Lee, Ju Yoen. "Can an artificial intelligence chatbot be the author of a scholarly article?" Science Editing 10, no. 1 (2023): 7–12. http://dx.doi.org/10.6087/kcse.292.

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At the end of 2022, the appearance of ChatGPT, an artificial intelligence (AI) chatbot with amazing writing ability, caused a great sensation in academia. The chatbot turned out to be very capable, but also capable of deception, and the news broke that several researchers had listed the chatbot (including its earlier version) as co-authors of their academic papers. In response, Nature and Science expressed their position that this chatbot cannot be listed as an author in the papers they publish. Since an AI chatbot is not a human being, in the current legal system, the text automatically gener

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Lin, Chien-Chang, Anna Y. Q. Huang, and Stephen J. H. Yang. "A Review of AI-Driven Conversational Chatbots Implementation Methodologies and Challenges (1999–2022)." Sustainability 15, no. 5 (2023): 4012. http://dx.doi.org/10.3390/su15054012.

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A conversational chatbot or dialogue system is a computer program designed to simulate conversation with human users, especially over the Internet. These chatbots can be integrated into messaging apps, mobile apps, or websites, and are designed to engage in natural language conversations with users. There are also many applications in which chatbots are used for educational support to improve students’ performance during the learning cycle. The recent success of ChatGPT also encourages researchers to explore more possibilities in the field of chatbot applications. One of the main benefits of c

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Ardiansyah, Rizky, Dianthy Marya, and Atik Novianti. "Penggunaan metode string matching pada sistem informasi mahasiswa Polinema dengan chatbot." JURNAL ELTEK 21, no. 1 (2023): 28–35. http://dx.doi.org/10.33795/eltek.v21i1.381.

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Pelayanan kampus yang baik sangat penting untuk menunjang proses belajar mengajar di perguruan tinggi. Salah satu cara untuk meningkatkan pelayanan adalah dengan menggunakan chatbot. Chatbot dapat memberikan pelayanan yang cepat dan efisien kepada mahasiswa, serta membantu dalam mendapatkan informasi yang dibutuhkan. Chatbot dapat memberikan pelayanan yang efektif dan efisien dalam menyediakan informasi dan melakukan transaksi. Penggunaan chatbot juga mengurangi beban kerja petugas administrasi dan memungkinkan mereka untuk fokus pada tugas yang lebih kompleks. Meskipun demikian, perlu perbaik

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Kobus, Monika, Anna Dąbrowska, and Agata Kmiecik. "Badanie potrzeb użytkowników w zakresie chatbotów wspierających rozwiązywanie problemów związanych z ŚOI." Occupational Safety – Science and Practice 643, no. 4 (2025): 22–27. https://doi.org/10.54215/bp.2025.4.8.kobus.

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User needs research for chatbots supporting PPE issues The COVID-19 pandemic has led to a need for access to reliable sources of information on the requirements for PPE, principles of selection and its safe use. Central Institute for Labour Protection – National Research Institute is working on developing a text-based conversational interface (chatbot). The article presents the pilot scope of the chatbot under development and users’ expectations of chatbots based on surveys. The survey found that users mainly use chatbots to search for information. It is necessary to assure users of the authen

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Saransh, Saransh. "SOCIAL COMPANION CHATBOT FOR HUMAN COMMUNICATION USING ML AND NLP." International Journal of Engineering Applied Sciences and Technology 8, no. 1 (2023): 321–24. http://dx.doi.org/10.33564/ijeast.2023.v08i01.048.

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The advent of chatbot technology has led to a significant shift in the humans communicate with machines. Chatbots powered by Machine Learning (ML) and Natural Language Processing (NLP) can interact with humans naturally and conversationally. This chatbot's primary objective is to provide companionship to individuals who may feel lonely or isolated. The chatbot prompts customers to express their feelings and provides a personalized response based on whether the customer's feelings are positive or negative. The chatbot's development involved designing a userfriendly interface and integrating nat

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Thi Phuong Anh, Nguyen. "Evaluating the Effectiveness of ChatGPT and Google Bard in Enhancing Communication Skills in English for Business classes." Journal of Science and Technology 8, no. 3 (2025): 154–62. https://doi.org/10.55401/7yf33g73.

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This study aims to evaluate the effectiveness of ChatGPT and Google Bard in enhancing communication skills in Business English classes at Ba Ria – Vung Tau University. Using a mixed-methods approach, the research applies the Analytic Hierarchy Process (AHP) to assess chatbots based on naturalness, specialization, engagement, and accessibility. Qualitative data from educator and learner interviews highlight benefits such as increased engagement, personalized feedback, and realistic business simulations, while also noting limitations like cultural inaccuracies and over-reliance on chatbot respon

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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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Aksoyalp, Zinnet Şevval, and Betül Rabia Erdoğan. "COMPARATIVE EVALUATION OF ARTIFICIAL INTELLIGENCE AND DRUG INTERACTION TOOLS: A PERSPECTIVE WITH THE EXAMPLE OF CLOPIDOGREL." Ankara Universitesi Eczacilik Fakultesi Dergisi 48, no. 3 (2024): 22. http://dx.doi.org/10.33483/jfpau.1460173.

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Objective: The study aims to compare the ability of free artificial intelligence (AI) chatbots to detect drug interactions with freely available drug interaction tools, using clopidogrel as an example. Material and Method: The Lexicomp database was used as a reference to determine drug interactions with clopidogrel. ChatGPT-3.5 AI and Bing AI were selected as the free AI chatbots. Medscape Drug Interaction Checker, DrugBank Drug Interaction Checker and Epocrates Interaction Check were selected as free drug interaction tools. Accuracy score and comprehensiveness score were calculated for each d

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Kim, Trudy S., Catherine T. Yu, Chandler Hinson, et al. "ChatGPT Virtual Assistant for Breast Reconstruction: Assessing Preferences for a Traditional Chatbot versus a Human AI VideoBot." Plastic and Reconstructive Surgery - Global Open 12, no. 10 (2024): e6202. http://dx.doi.org/10.1097/gox.0000000000006202.

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Background: Recent advancements in artificial intelligence (AI) have reshaped telehealth, with AI chatbots like Chat Generative Pretrained Transformer (ChatGPT) showing promise in various medical applications. ChatGPT is capable of offering basic patient education on procedures in plastic and reconstructive surgery (PRS), yet the preference between human AI VideoBots and traditional chatbots in plastic and reconstructive surgery remains unexplored. Methods: We developed a VideoBot by integrating ChatGPT with Synthesia, a human AI avatar video platform. The VideoBot was then integrated into Tol

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Cui, Yichao, Yu-Jen Lee, Jack Jamieson, Naomi Yamashita, and Yi-Chieh Lee. "Exploring Effects of Chatbot's Interpretation and Self-disclosure on Mental Illness Stigma." Proceedings of the ACM on Human-Computer Interaction 8, CSCW1 (2024): 1–33. http://dx.doi.org/10.1145/3637329.

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Chatbots are increasingly being used in mental healthcare - e.g., for assessing mental-health conditions and providing digital counseling - and have been found to have considerable potential for facilitating people's behavioral changes. Nevertheless, little research has examined how specific chatbot designs may help reduce public stigmatization of mental illness. To help fill that gap, this study explores how stigmatizing attitudes toward mental illness may be affected by conversations with chatbots that have 1) varying ways of expressing their interpretations of participants' statements and 2

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Nguyen Xuan Bac, Luu Van Sang, Nguyen Duc Vuong, Luong Quoc Le, and Dang Duc Thinh. "Enhancing retrieval performance of embedding models via fine-tuning on synthetic data in RAG chatbot for Vietnamese military science domain." Journal of Military Science and Technology 99 (November 25, 2024): 109–18. http://dx.doi.org/10.54939/1859-1043.j.mst.99.2024.109-118.

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Retrieval-Augmented Generation (RAG) is a technology that combines information retrieval with large language models, enabling chatbots to provide accurate answers by querying relevant documents from a data repository before generating responses. While RAG chatbot has demonstrated effectiveness in many applications, there are still limitations in specialized Vietnamese data domains, particularly in the military science field. To address this challenge, this paper proposes a framework for fine-tuning embedding models using synthetic datasets generated by ChatGPT to enhance retrieval performance

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Chaiprasurt, Chantorn, Ratchadaporn Amornchewin, and Piyamart Kunpitak. "Using motivation to improve learning achievement with a chatbot in blended learning." World Journal on Educational Technology: Current Issues 14, no. 4 (2022): 1133–51. http://dx.doi.org/10.18844/wjet.v14i4.6592.

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Chatbots have the potential to be used as motivational learning tools, particularly for boosting academic performance. The purpose of this study is to construct a Facebook Messenger chatbot to promote accomplishment through the use of blended learning, guided by the ARCS (attention, relevance, confidence, satisfaction) motivation model that compares how engagement works, and explores the chatbot in terms of its usability. Integrated with Facebook Messenger, chatbot software was designed to answer inquiries based on the chatbot's communication framework. This included course alerts, a gradebook

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Sánchez-Vera, Fulgencio. "Subject-Specialized Chatbot in Higher Education as a Tutor for Autonomous Exam Preparation: Analysis of the Impact on Academic Performance and Students’ Perception of Its Usefulness." Education Sciences 15, no. 1 (2024): 26. https://doi.org/10.3390/educsci15010026.

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This study evaluates the impact of an AI chatbot as a support tool for second-year students in the Bachelor’s Degree in Early Childhood Education program during final exam preparation. Over 1-month, 42 students used the chatbot, generating 704 interactions across 186 conversations. The study aimed to assess the chatbot’s effectiveness in resolving specific questions, enhancing concept comprehension, and preparing for exams. Methods included surveys, in-depth interviews, and analysis of chatbot interactions. Results showed that the chatbot was highly effective in clarifying doubts (91.4%) and a

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Temsah, Mohamad-Hani, Fadi Aljamaan, Khalid H. Malki, et al. "ChatGPT and the Future of Digital Health: A Study on Healthcare Workers’ Perceptions and Expectations." Healthcare 11, no. 13 (2023): 1812. http://dx.doi.org/10.3390/healthcare11131812.

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This study aimed to assess the knowledge, attitudes, and intended practices of healthcare workers (HCWs) in Saudi Arabia towards ChatGPT, an artificial intelligence (AI) Chatbot, within the first three months after its launch. We also aimed to identify potential barriers to AI Chatbot adoption among healthcare professionals. A cross-sectional survey was conducted among 1057 HCWs in Saudi Arabia, distributed electronically via social media channels from 21 February to 6 March 2023. The survey evaluated HCWs’ familiarity with ChatGPT-3.5, their satisfaction, intended future use, and perceived us

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Avisyah, Gisnaya Faridatul, Ivandi Julatha Putra, and Sidiq Syamsul Hidayat. "Open Artificial Intelligence Analysis using ChatGPT Integrated with Telegram Bot." Jurnal ELTIKOM 7, no. 1 (2023): 60–66. http://dx.doi.org/10.31961/eltikom.v7i1.724.

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Chatbot technology uses natural language processing with artificial intelligence that can interact quickly in answering a question and producing relevant answer. ChatGPT is the latest chatbot platform developed by Open AI which allows users to interact with text-based engines. This platform uses the GPT-3 (Generative Pre-trained Transformer) algorithm to help understand the response humans want and generate relevant responses. Using the platform, users can find answers to their questions quickly and relevantly. The method used for OpenAI's research on ChatGPT integrated through Telegram chatbo

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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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Biro, Joshua, Courtney Linder, and David Neyens. "The Effects of a Health Care Chatbot’s Complexity and Persona on User Trust, Perceived Usability, and Effectiveness: Mixed Methods Study." JMIR Human Factors 10 (February 1, 2023): e41017. http://dx.doi.org/10.2196/41017.

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Background The rising adoption of telehealth provides new opportunities for more effective and equitable health care information mediums. The ability of chatbots to provide a conversational, personal, and comprehendible avenue for learning about health care information make them a promising tool for addressing health care inequity as health care trends continue toward web-based and remote processes. Although chatbots have been studied in the health care domain for their efficacy for smoking cessation, diet recommendation, and other assistive applications, few studies have examined how specific

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Anwar, Muchamad Taufiq, Azzahra Nurwanda, Fajar Rahmat, Muhammad Aufal, Hindriyanto Dwi Purnomo, and Aji Supriyanto. "Fast and Accurate Indonesian QnA Chatbot Using Bag-of-Words and Deep-Learning For Car Repair Shop Customer Service." Advance Sustainable Science Engineering and Technology 5, no. 2 (2023): 0230201. http://dx.doi.org/10.26877/asset.v5i2.14891.

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A chatbot is a software that simulates human conversation through a text chat. Chatbot is a complex task and recent approaches to Indonesian chatbot have low accuracy and are slow because it needs high resources. Chatbots are expected to be fast and accurate especially in business settings so that they can increase customer satisfaction. However, the currently available approach for Indonesian chatbots only has low to medium accuracy and high response time. This research aims to build a fast and accurate chatbot by using Bag-of-Words and Deep-Learning approach applied to a car repair shop cust

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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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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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Gevher, Merve, Sefa Emre Öncü, and Erdem Erdoğdu. "Exploring the potential use of generative ai for learner support in ODL at scale." Journal of Educational Technology and Online Learning 8, no. 1 (2024): 78–97. https://doi.org/10.31681/jetol.1559442.

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This study addresses the applicability of generative artificial intelligence (GenAI) within the administrative learner support services at Anadolu University Open Education System, a giga university with more than one million learners in Türkiye. The study reveals the performance differences between a rule-based chatbot and different GenAI-based chatbots using a qualitative case study approach. Learner inquiries that the rule-based chatbot could not answer, and frequently asked questions (FAQs) were posed to ChatGPT and Bing Copilot applications in four different cases. The 708 answers in thes

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Dinh, Hoa, and Thien Khai Tran. "EduChat: An AI-Based Chatbot for University-Related Information Using a Hybrid Approach." Applied Sciences 13, no. 22 (2023): 12446. http://dx.doi.org/10.3390/app132212446.

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The digital transformation has created an environment that fosters the development of effective chatbots. Through the fusion of artificial intelligence and data, these chatbots have the capability to provide automated services, optimize customer experiences, and reduce workloads for employees. These chatbots can offer 24/7 support, answer questions, perform transactions, and provide rapid information, contributing significantly to the sustainable development processes of businesses and organizations. ChatGPT has already been applied in various fields. However, to ensure that there is a chatbot

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Ab Razak, Nur Izah, Muhammad Fawwaz Muhammad Yusoff, and Rahmita Wirza O.K. Rahmat. "ChatGPT Review: A Sophisticated Chatbot Models in Medical & Health-related Teaching and Learning." BMSC 19, s12 (2023): 98–108. http://dx.doi.org/10.47836/mjmhs.19.s12.12.

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Artificial intelligence (AI) has transformed our interactions with the world, spawning complex apps and gadgets known as intelligent agents. ChatGPT, a chatbot hybrid of AI and human-computer interaction, converse with humans and have a wide range of possible uses. Chatbots have showed potential in the field of medical education and health sciences by aiding learning, offering feedback, and increasing metacognitive thinking among undergraduate and postgraduate students. OpenAI’s ChatGPT, an dvanced language model, has substantially enhanced chatbot capabilities. Chatbots are being used in the

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Buraphadeja, Vasa, and Donyawan Chantokul. "Supporting Student Engagement and Academic Guidance through a Chatbot in Blended Learning." International Journal on E-Learning 24, no. 3 (2024): 241–53. https://doi.org/10.70725/031289kgvqkw.

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This study examines the effectiveness of a custom-designed chatbot in a blended learning environment, focusing on its adherence to instructional guidelines and its impact on student engagement. The chatbot was designed to prompt students with questions about concepts related to various academic majors, encourage elaboration on their responses, and provide tailored recommendations based on students' strengths. Results indicate that while the chatbot effectively engaged students in discussions, as students who received recommendations were likely to follow up on their topics of interest, it stru

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Chow, James C. L., Valerie Wong, Leslie Sanders, and Kay Li. "Developing an AI-Assisted Educational Chatbot for Radiotherapy Using the IBM Watson Assistant Platform." Healthcare 11, no. 17 (2023): 2417. http://dx.doi.org/10.3390/healthcare11172417.

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Objectives: This study aims to make radiotherapy knowledge regarding healthcare accessible to the general public by developing an AI-powered chatbot. The interactive nature of the chatbot is expected to facilitate better understanding of information on radiotherapy through communication with users. Methods: Using the IBM Watson Assistant platform on IBM Cloud, the chatbot was constructed following a pre-designed flowchart that outlines the conversation flow. This approach ensured the development of the chatbot with a clear mindset and allowed for effective tracking of the conversation. The cha

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Younis, Muhanad T., Nadia Mahmood Hussien, Yasmin Makki Mohialden, Komeil Raisian, Prabhishek Singh, and Kapil Joshi. "Enhancement of ChatGPT using API Wrappers Techniques." Al-Mustansiriyah Journal of Science 34, no. 2 (2023): 82–86. http://dx.doi.org/10.23851/mjs.v34i2.1350.

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This study looks at how API (Application Programming Interface) wrapper technology can make it easier to use complex functions by putting together a lot of API calls. These packages have non-real-time interfaces that are hard to use. ChatGPT is a chatbot-specific GPT-3 language paradigm. It lets developers create chatbots that respond intelligently to natural language user input, creating a more engaging user experience. This article shows that ChatGPT, Python, and API wrapper technology may be used to develop a smart chatbot. We show how to use the OpenAI API library to add ChatGPT to Python

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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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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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Christanti, Viny, Jesslyn Jesslyn, and Fundroo Orlando. "Implementasi Chatbot Pelajaran Sekolah Dasar Dengan Pandorabots." CICES 9, no. 2 (2023): 203–13. http://dx.doi.org/10.33050/cices.v9i2.2703.

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Chatbot is a virtual conversation that can receive input in the form of voice or writing. A chatbot can be a generative or retrieval chatbot. The creation of the two chatbots provides an opportunity for users to write text freely. Sometimes giving freedom to type sentences freely can result in answers that are not to the user's liking. There are several ways that users can be directed to write text in the chat column. This study aims to develop a chatbot application that can be used as a medium for questioning and answering subject matter for elementary school students in a structured manner.

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Kuhail, Mohammad Amin, Justin Thomas, Salwa Alramlawi, Syed Jawad Hussain Shah, and Erik Thornquist. "Interacting with a Chatbot-Based Advising System: Understanding the Effect of Chatbot Personality and User Gender on Behavior." Informatics 9, no. 4 (2022): 81. http://dx.doi.org/10.3390/informatics9040081.

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Chatbots with personality have been shown to affect engagement and user subjective satisfaction. Yet, the design of most chatbots focuses on functionality and accuracy rather than an interpersonal communication style. Existing studies on personality-imbued chatbots have mostly assessed the effect of chatbot personality on user preference and satisfaction. However, the influence of chatbot personality on behavioral qualities, such as users’ trust, engagement, and perceived authenticity of the chatbots, is largely unexplored. To bridge this gap, this study contributes: (1) A detailed design of a

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Mustafa, Sara Hassan, Elsir Abdelmutaal Mohammed, Ahmed Mustafa Salih, et al. "A Qualitative Exploration of Acceptance of a Conversational Chatbot as a Tool for Mental Health Support among University Students in Sudan." International Journal of Medical Sciences and Nursing Research 4, no. 1 (2024): 16–23. http://dx.doi.org/10.55349/ijmsnr.2024411623.

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Background: Sudan’s political and economic challenges have increased mental health issues among university students, but access to mental healthcare is limited. Digital health interventions, such as chatbots, could provide a potential solution to inadequate care. This study aimed to evaluate the level of acceptance of a mental health chatbot prototype among university students in Khartoum, Sudan. Materials and Methods: This qualitative study investigated the perspectives of university students regarding a mental health chatbot prototype designed specifically for this research and deployed on T

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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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Kar, Parijat, and Ridhima Kar. "Convergence of Chatbot Personalities Using Reinforcement Learning and Text Generation." Proceedings of the AAAI Symposium Series 5, no. 1 (2025): 327–33. https://doi.org/10.1609/aaaiss.v5i1.35608.

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Chatbots have become indispensable tools in customer support and mental health industries, facilitating efficient communication and problem-solving. However, the success of these interactions often hinges on the alignment between the chatbot's personality and the user's preferences. This study investigates the significance of personality matching in chatbot conversations, exploring the impact of MBTI personality types on user engagement and satisfaction. We delve into various strategies for adopting appropriate tone and persona in one-to-one and group chatbot interactions. By understanding the

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Journal, IJSREM. "CUSTOMER SUPPORT CHATBOT." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 01 (2024): 1–10. http://dx.doi.org/10.55041/ijsrem27984.

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Abstract—The food business has seen a dramatic transition in recent years toward digital platforms as more and more customers choose to order food through online channels. Businesses are using creative solutions, like customer care chatbots, to handle the growing demand and expedite the purchase process. The creation and application of a customer support chatbot designed especially for food orders is the main goal of this study. This study's main goals are to integrate a sophisticated chatbot system into the meal ordering process to improve operational efficiency and the overall user experienc

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Chinenye, Duru Juliet, Austine Ekekwe Duroha, and Nkwocha Mcdonald. "DEVELOPMENT OF THE NATURAL LANGUAGE PROCESSING-BASED CHATBOT FOR SHOPPRITE SHOPPING MALL." International Journal of Engineering Applied Sciences and Technology 7, no. 6 (2022): 372–81. http://dx.doi.org/10.33564/ijeast.2022.v07i06.044.

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Software-as-a-service (SaaS) solutions are frequently used to create chatbots, giving users the option to interact with them via desktop computers, mobile phones, and tablets. To increase customer accessibility, a chatbot is being developed for customers. The user can choose their own convenient language because the device offers text or audio support. This project's goal was to develop a chatbot for the Shopprite Shopping Mall. The chatbot's goal is to converse with the client in a clever, accurate, and timely manner using natural language processing. Customers can use this feature to communi

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Chang, Yu, Chu-Yun Su, and Yi-Chun Liu. "Assessing the Performance of Chatbots on the Taiwan Psychiatry Licensing Examination Using the Rasch Model." Healthcare 12, no. 22 (2024): 2305. http://dx.doi.org/10.3390/healthcare12222305.

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Background/Objectives: The potential and limitations of chatbots in medical education and clinical decision support, particularly in specialized fields like psychiatry, remain unknown. By using the Rasch model, our study aimed to evaluate the performance of various state-of-the-art chatbots on psychiatry licensing exam questions to explore their strengths and weaknesses. Methods: We assessed the performance of 22 leading chatbots, selected based on LMArena benchmark rankings, using 100 multiple-choice questions from the 2024 Taiwan psychiatry licensing examination, a nationally standardized te

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