AI Chatbot Research Articles

Exploring AI Chatbot Development for Gen-Z: A Study on First-Time and Experienced Voters in Pemilu

Artificial intelligence (AI) chatbots have been utilized as interactive learning platforms for higher education. Gen-Z was a generation that quickly adopted the latest technology. Several Gen-Z students participated in the Pemilu (general elections in Indonesia) for the first time in 2024. Therefore, this research aimed to develop an AI chatbot to give information about Pemilu to Gen-Z voters. The researcher developed the AI chatbot with several steps: data collecting, training, evaluating, refining, and analyzing conversation data. A group of 100 Gen-Z students took part in testing the AI chatbot. The researcher discovered that it was essential to keep refining the AI chatbot by improving the datasets and putting more context in it. Next, the researcher asserted that experienced Gen-Z voters asked more questions, as they have prior knowledge of experiencing the previous elections. Most of the experienced Gen-Z voters asked advanced questions, while most of the first-time Gen-Z voters asked basic questions. Moreover, the AI chatbot was a suitable learning platform for Gen-Z as they used metacognitive strategies to experiment with their questions to get the correct information from the AI chatbot. That action automatically helped the AI chatbot to improve its performance as part of the training step. Abstrak Artificial intelligence (AI) chatbots telah digunakan sebagai platform pembelajaran interaktif pada level pendidikan tinggi. Gen-Z adalah generasi yang cepat mengadopsi teknologi. Beberapa siswa dari kalangan Gen-Z akan berpartisipasi dalam Pemilu untuk pertama kali pada tahun 2024. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan AI chatbot yang dapat memberikan informasi kepada Gen-Z tentang Pemilu. Peneliti mengembangkan AI chatbot melalui beberapa langkah: data collecting, training, evaluating, refining dan analyzing data percakapan. Sebanyak 100 orang mahasiswa Gen-Z berpartisipasi dalam proses testing chatbot. Peneliti menyimpulkan bahwa sangatlah penting untuk tetap melakukan proses refining dengan cara memperbaiki datasets dan menaruh lebih banyak konteks ke dalamnya. Peneliti juga menemukan bahwa experienced voters melontarkan pertanyaan lebih banyak daripada first-time voters. Kemudian, experienced voters juga menanyakan topik yang lebih advanced karena mereka sudah mempunyai pengalaman mengikuti Pemilu, sedangkan first-time voters hanya menanyakan pertanyaan dasar tentang Pemilu. Selain itu, AI chatbots adalah platform yang cocok untuk Gen-Z karena mereka cenderung menggunakan stratgegi metacognitive untuk terus bereksperimen dengan pertanyaan - pertanyaan agar mendapatkan jawaban yang tepat dari chatbot. Hal ini secara otomatis juga akan meningkatkan performa dari chatbot sebagai bagian dari proses training AI chatbot.

Interactive AI Chatbot for Mental Illness

In today's increasingly technological world, mental health awareness is paramount, with the intersection of technology and wellness offering innovative solutions to alleviation of depression symptoms, attrition, and loss of follow-up in mental health treatment. To start a good life healthcare is more important. Mental health problems becoming more common, there's a need for easy-to-access support. Our chatbot uses smart technology to understand what users are feeling, offer kind responses. It's built using advanced computer learning to get better at recognizing and dealing with different mental health concerns. In this application implement natural language processing (NLP) and speech recognition. The application includes a robust authentication system for user security, featuring traditional methods like username/password verification, alongside a graphical password authentication system. Users can select a random image during registration, which is then split into shares for secure storage. The chatbot analyzes user queries to recommend tailored stress-relief strategies, including mindfulness exercises, relaxation techniques, and personalized yoga poses displayed with accompanying images and instructions. The backend manages user data, recommendation algorithms, and integration with external services, while the frontend offers intuitive interfaces for seamless user interaction. Thorough testing ensures functionality, usability, and security before deployment, with continuous improvement based on user feedback and technological advancements driving the project evolution.

Developing a Retrieval Augmented Generation (RAG) Chatbot App Using Adaptive Large Language Models (LLM) and LangChain Framework

CARA BURGAN, Dept of Computer Sciences, Mathematics, and Engineering, Shepherd University, Shepherdstown, WV, 25443, JOSIAH KOWALSKI, Dept of Computer Sciences, Mathematics, and Engineering, Shepherd University, Shepherdstown, WV, 25443, and WEIDONG LIAO (Faculty Advisor), Dept of Computer Sciences, Mathematics, and Engineering, Shepherd University, Shepherdstown, WV, 25443. Developing a Retrieval Augmented Generation (RAG) Chatbot App Using Adaptive Large Language Models (LLM) and LangChain Framework RamChat is an AI chatbot designed to assist Shepherd University students in navigating the student handbook. Developed in Python, it utilizes both API-based and local Large Language Models (LLMs) for natural language processing (NLP), alongside a vector store system. Our aim is to create a high-quality chatbot app tailored for student use. We began by researching existing chatbot platforms and created a vector store with embeddings from OpenAI's text-embedding-3-small model, trained on the Shepherd University handbook. Testing each LLM helped assess answer types and accuracy. Development involved debugging and optimizing RamChat's code, including replacing OpenAI's davinci-002 model with gemma, a local LLM based on Google's Gemini model. Ollama framework aids in automatic LLM selection based on user prompts. Our conference presentation will detail RamChat's development, methodology, challenges, and insights. RamChat represents an innovative application of AI to enhance the Shepherd University student experience.

Higher Education Faculty Perceptions of ChatGPT and the Influencing Factors: A Sentiment Analysis of X

ChatGPT, an AI chatbot developed by OpenAI, was released in November 2022, sparking a significant surge in global awareness and utilization of generative AI across various domains. Although recent studies have acknowledged the significance of ChatGPT in the education sector, they have yet to focus on exploring faculty attitudes toward ChatGPT. We gathered a comprehensive corpus of tweets containing “#ChatGPT” and “#highered” between November 30th, 2022, and April 30th, 2023. We analyzed data by triangulating VADER, NRC lexicon, and ground coding. Findings suggest that 40% of the expressed sentiments were positive, 51% were neutral, and 9% were negative. The study also revealed the diverse range of emotions held by higher education faculty regarding ChatGPT, with trust and joy being the most prevalent positive sentiments and fear and anger being the most prevalent negative sentiments. This study shed light on faculty members’ perceptions of ChatGPT, contributing to a better understanding of the impact, emotions, and incorporation of ChatGPT in the higher education sector.

Enhancing the Barangay Information System by Integrating Geolocation Technology and Tagalog Chatbot using NLP Algorithm for Efficient Community Engagement and Service

This research aims to address the need for improved efficiency and accessibility of a local government constitution which is the barangay services in the Philippines through the integration of an English – Tagalog Chatbot using NLP Algorithm into a Progressive Web-Application based Barangay Information System and Geolocation Technology which detects the location of the affected residents and nearest evacuation centers. The specific objectives include developing an information system for efficient resident data management, training an AI chatbot to handle both English and Tagalog inquiries, and integrating geolocation technology for disaster risk reduction monitoring. The study’s significance lies in enhancing the service provided by barangays, which are often the most accessible government agencies to the public. The system benefits the public by increasing transparency and providing convenient access to services, barangay officials by streamlining transactions and reducing their workload and future researchers by laying the groundwork for further technological advancements in governance. The overall acceptance of the system based on user’s feedback falls within the satisfactory category, which indicates its potential to improve barangay operations. The Barangay Information System, as demonstrated in this study, efficiently manages resident information, streamlines the delivery of certificates, enhances user experience, and ultimately contributes to more effective and efficient community service delivery.

SELL ME THIS ARTIFICIAL PEN: USING CHATGPT TO ENHANCE SALES ROLE PLAYS

ABSTRACT The recent popularity of ChatGPT and artificial intelligence chatbots presents both challenges and opportunities for incorporating this modern technology in the classroom. This paper introduces an activity that uses ChatGPT to help students practice their role playing sales skills. The benefits of using this AI chatbot for role play training include allowing students to practice when it’s convenient and have the ability to react to a chatbot taking on personas of different buyer types. Survey results demonstrate the effectiveness of this training method for both role play training and general familiarity with ChatGPT.

441 Oxalate Content and AI Chatbot: Navigating Dietary Management for Hyperoxaluria and Kidney Stones

441 Oxalate Content and AI Chatbot: Navigating Dietary Management for Hyperoxaluria and Kidney Stones

The Factors Affecting Continuance Intention of ChatGPT as An AI Chatbot in Indonesia

The transition from Industry 4.0 into Industry 5.0 is happening somehow. That case also appeared in Indonesia. Currently during 2023 there is this Artificial Intelligence Chatbot been developed by OpenAI and released at November, 2022. This AI Chatbot named ChatGPT mainly functioned to allow human for having conversation with Chatbot itself. The problem occurred in Indonesia is that whether personal information of the user given to this Chatbot secured or not and does the user is still willing to continue using this Chatbot after they know the security and risk of cybercrime for their own personal information. This research used Quantitative-method and used an online survey to collect data with the total respondent of 30 respondents that used to get the Preliminary Data Analysis for the Paper. This paper is also using Smart PLS to calculate the data and the purpose of this research is to identify and test whether the factors between variables are having significant relation to the use of ChatGPT App in Indonesia. Result showed that there were no significant relation between each variables towards the Continuance Intention of ChatGPT App in Indonesia.

Human-Centric AI : Enhancing User Experience through Natural Language Interfaces

AI has significantly altered the way humans interact with technology. It is important to observe the impact of Natural Language Interfaces (NLIs) on user experiences in Human-Centric AI across various industries. Therefore, we specifically focus on the influence of Human-Centric AI and user interactions within AI chatbots in the United Arab Emirates (UAE). The aim of this study is to assess the factors that influence the acceptance of AI, examine its practical implications across different industries, and offer valuable insights for the responsible development of AI. A quantitative survey methodology was employed, involving 230 participants in the UAE. The research design, data collection, and analysis followed the Unified Theory of Acceptance and Use of Technology (UTAUT) model, which emphasizes performance expectancy, effort expectancy, social influence, and facilitating conditions. The survey encompassed a variety of participants from various organizations, with a majority expressing positive attitudes towards AI chatbots. The survey found that 80% of users agreed that AI systems improve task efficiency, 84% believe they help achieve goals, and 84% view them as practical. According to 75% of participants, the social impact is strongly influenced by AI chatbot system adoption. However, 80% understood the relevance of organizational infrastructure and favorable conditions. In particular, 72% of users stated that Natural Language Interfaces transform, indicating satisfactory user experiences. These features demonstrate the influence of Human-Centric AI adoption and its use in different organizations. Natural language interfaces play a critical role in improving human-centered AI user experiences, investigating theoretical issues and real-world applications, and providing guidance for the ethical use of AI.

College Enquiry For Student using AI ChatBot

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 language, command line, graphical user interface (GUI), menu driven, form-based, etc. that used in user interfaces TGUI and web-based user interfaces are the most typical types, however sometimes another type of user interface is required. This is where a conversational user interface based on chatbots fits in. One type of bot that has been present on chat systems is the chatbot. The user can interact with them via graphical interfaces, and the trend is in this direction. They often offer a stateful service, meaning that each session's data is saved by the application.

Empowering student self‐regulated learning and science education through ChatGPT: A pioneering pilot study

In recent years, AI technologies have been developed to promote students' self‐regulated learning (SRL) and proactive learning in digital learning environments. This paper discusses a comparative study between generative AI‐based (SRLbot) and rule‐based AI chatbots (Nemobot) in a 3‐week science learning experience with 74 Secondary 4 students in Hong Kong. The experimental group used SRLbot to maintain a regular study habit and facilitate their SRL, while the control group utilized rule‐based AI chatbots. Results showed that SRLbot effectively enhanced students' science knowledge, behavioural engagement and motivation. Quantile regression analysis indicated that the number of interactions significantly predicted variations in SRL. Students appreciated the personalized recommendations and flexibility of SRLbot, which adjusted responses based on their specific learning and SRL scenarios. The ChatGPT‐enhanced instructional design reduced learning anxiety and promoted learning performance, motivation and sustained learning habits. Students' feedback on learning challenges, psychological support and self‐regulation behaviours provided insights into their progress and experience with this technology. SRLbot's adaptability and personalized approach distinguished it from rule‐based chatbots. The findings offer valuable evidence for AI developers and educators to consider generative AI settings and chatbot design, facilitating greater success in online science learning. Practitioner notesWhat is already known about this topic AI technologies have been used to support student self‐regulated learning (SRL) across subjects. SRL has been identified as an important aspect of student learning that can be developed through technological support. Generative AI technologies like ChatGPT have shown potential for enhancing student learning by providing personalized guidance and feedback. What this paper adds This paper reports on a case study that specifically examines the effectiveness of ChatGPT in promoting SRL among secondary students. The study provides evidence that ChatGPT can enhance students' science knowledge, motivation and SRL compared to a rule‐based AI chatbot. The study offers insights into how ChatGPT can be used as a tool to facilitate SRL and promote sustained learning habits. Implications for practice and/or policy The findings of this study suggest that educators should consider the potential of ChatGPT and other generative AI technologies to support student learning and SRL. Educators and students should be aware of the limitations of AI technologies and ensure that they are used appropriately to generate desired responses. It is also important to equip teachers and students with AI competencies to enable them to use AI for learning and teaching.

Foot and Ankle Patient Education Materials and Artificial Intelligence Chatbots: A Comparative Analysis.

The purpose of this study was to perform a comparative analysis of foot and ankle patient education material generated by the AI chatbots, as they compare to the American Orthopaedic Foot and Ankle Society (AOFAS)-recommended patient education website, FootCareMD.org. ChatGPT, Google Bard, and Bing AI were used to generate patient educational materials on 10 of the most common foot and ankle conditions. The content from these AI language model platforms was analyzed and compared with that in FootCareMD.org for accuracy of included information. Accuracy was determined for each of the 10 conditions on a basis of included information regarding background, symptoms, causes, diagnosis, treatments, surgical options, recovery procedures, and risks or preventions. When compared to the reference standard of the AOFAS website FootCareMD.org, the AI language model platforms consistently scored below 60% in accuracy rates in all categories of the articles analyzed. ChatGPT was found to contain an average of 46.2% of key content across all included conditions when compared to FootCareMD.org. Comparatively, Google Bard and Bing AI contained 36.5% and 28.0% of information included on FootCareMD.org, respectively (P < .005). Patient education regarding common foot and ankle conditions generated by AI language models provides limited content accuracy across all 3 AI chatbot platforms. Level IV.

Enhancing Library Engagement: Designing a Mobile Application for Dr. GRD Memorial Library Using Jotform and Chatbase

Mobile applications are software applications developed for small and wireless computing devices such as smartphones and tablets, rather than desktops or laptops. With advancements in networking technologies, mobile applications are increasingly utilized in the field of education, particularly in libraries, to engage more users. They are predominantly preferred for providing library services such as accessing e-resources like e-books, e-journals, e-newspapers, e-patents, etc. Additionally, these applications provide users with access at any time, from anywhere, and help save time. This paper briefly explains the design of a mobile application for Dr. GRD Memorial Library, the main library of PSG College of Technology, using Jotform, a free, no-code app builder that allows sharing multiple forms, links, and other elements in a single app that works on any device. To enhance interactivity, a chatbot is also incorporated using an AI chatbot builder, Chatbase, primarily utilized for adding chat widgets in mobile applications.

Enhancing Library Engagement: Designing a Mobile Application for Dr. GRD Memorial Library Using Jotform and Chatbase

Mobile applications are software applications developed for small and wireless computing devices such as smartphones and tablets, rather than desktops or laptops. With advancements in networking technologies, mobile applications are increasingly utilized in the field of education, particularly in libraries, to engage more users. They are predominantly preferred for providing library services such as accessing e-resources like e-books, e-journals, e-newspapers, e-patents, etc. Additionally, these applications provide users with access at any time, from anywhere, and help save time. This paper briefly explains the design of a mobile application for Dr. GRD Memorial Library, the main library of PSG College of Technology, using Jotform, a free, no-code app builder that allows sharing multiple forms, links, and other elements in a single app that works on any device. To enhance interactivity, a chatbot is also incorporated using an AI chatbot builder, Chatbase, primarily utilized for adding chat widgets in mobile applications.

Several Teaching Methods Combined with the Support of AI Chatbot to Develop Self-Learning Competency for Students

Developing competency and especially self-study competency for students is one of the requirements in the 2018 General Education Program. Developing self-study competency for students is an inevitable trend of all times. , because the educational process is essentially the process of transforming the object of education (student) from an object of education into a subject of self-education. Based on the identification of three concepts: Teaching method, AI Chatbot and self-learning competency, we summarize the teaching method to develop competency and AI Chatbot. Next, illustrate the development of self-study competency for students using three teaching methods: differentiated teaching, Exploratory learning and using experiments in teaching combined with the support of AI Chatbot and from there affirms that students truly develop self-study competency.

Pengaruh Kompetensi dan Kredibilitas Chatbot AI Terhadap Kepercayaan Penggunaan Chatbot AI Pada Pengguna Lazada Di Kota Medan

&#x0D; This research aims: (1) To determine the influence of AI Chatbot on purchase intentions of Lazada users in the city of Medan; (2) To determine the effect of trust on purchase intentions among Lazada users in the city of Medan. (3) To determine the effect of AI Chatbot on purchase intention with trust as a mediating variable among Lazada users in the city of Medan. This research method uses quantitative methods. The research sample was 5 sub-districts represented by 170 respondents. Research results: (1) Chatbot AI has a positive and significant effect on Trust among Lazada users in the city of Medan; (2) Trust has a positive and significant effect on Purchase Intention of Lazada users in the city of Medan. (3) AI chatbot has a positive and significant effect on Purchase Intention of Lazada users in the city of Medan.&#x0D; &#x0D; Keywords: Influence, Competence, Credibility, Chatboi AI.

AI and racism: Tone policing by the Bing AI chatbot

This paper looks at the way that Bing AI uses tone policing and racial gaslighting in its conversations with users as a method of disciplining them away from critical anti-racist ideological engagement and towards an ethos of white supremacy. We use a critical discourse analysis to examine the conversations produced through our use of Microsoft’s Bing AI chatbot to find that through both the content it generates and the mechanisms through which it responds the Bing AI chatbot polices the tone of its users in a variety of ways.

Investigation of the Strategies to Regulate the Usage of AI Chatbots in Higher Education: Harmonizing Pedagogical Innovation and Cognitive Skill Development

This study investigates the strategies for regulating the usage of AI chatbots in higher education to harmonize pedagogical innovation and cognitive skill development among graduate students. The study adopts a qualitative methodology that involves semi-structured interviews with 12 lecturers from 11 Zimbabwean universities. The findings reveal that although AI chatbots present opportunities to enhance learning experiences and cognitive skill development, their usage by graduate students presents challenges that require regulation. Negative perceptions of using AI chatbots by graduate students included cheating, plagiarism, and reduced interaction. Positive perceptions had research flexibility and cheapness. To regulate AI chatbot usage in higher education, lecturers employed active learning strategies and tailor-made coursework. At the same time, universities implemented Viva Voce and AI software detectors to discourage cheating and plagiarism. The study contributes to the literature on AI chatbots in education by highlighting the importance of cultural and social factors in their integration. The findings provide practical implications for educators and institutions in regulating the usage of AI chatbots in higher education, thus promoting cognitive skill development while avoiding their negative impact.

Teaching Process for Modules in the Information Technology Major for Higher Students According to the Competency Approach

The first part of the article studies the concept of “competency” and approaches to competency, setting goals and output standards of the teaching process. The main part of the article focuses on analyzing the teaching process according to the competency approach, introducing the program content of the Information Technology knowledge block. The content of this program includes basic information technology, programming, operating systems, networks, databases, software, information security, artificial intelligence, web and mobile development, and management. projects, and cloud computing. The teaching process according to the competency approach is described in detail, starting from determining learning goals and output standards, followed by learning and practice. Using AI Chatbot and Website is recommended as an effective means of learning. Special emphasis is placed on student support through AI Chatbot, helping students to be autonomous and confident in the learning process. Diverse exercises and practices are provided to develop students’ abilities. Next is the testing and assessment step, emphasizing the importance of multi-dimensional assessment to ensure objectivity and fairness to test students’ knowledge and abilities. The last part of the article is to perfect the teaching process based on the competency approach in the Information Technology industry, with benefits such as the competency to personalize learning and develop learning competency for students.

Artificial Intelligence in Healthcare Education: Investigating ChatGPT's Acceptance

This study explores the acceptance and awareness of ChatGPT, an AI chatbot, among healthcare students and professionals. Data was collected from 370 participants through a questionnaire, revealing that while most participants were aware of ChatGPT and its potential in healthcare, many had not used it. Participants expressed a desire for training and identified barriers such as technical limitations, lack of personalization, and ethical concerns. Challenges associated with ChatGPT usage included concerns about replacing teachers, ethical issues, cybercrime, and increased plagiarism rates. Despite these challenges, participants recognized the potential of AI in healthcare, including augmented reality, machine learning, robotic surgery, and teaching strategies. The study emphasizes the need for continuous improvement and ethical considerations in developing AI chatbots like ChatGPT. These findings offer valuable insights for the future development and implementation of AI chatbot technologies in healthcare education.