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Journal articles on the topic 'Virtual Conversational AI'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Aadityan, Harindran, Prasanth Narthana, Lakshmi K. A. P. Seetha, AP Nadha, and K.V Rajitha. "Virtual Conversational Companion AI." Journal of Advances in Computational Intelligence Theory 7, no. 3 (2025): 1–9. https://doi.org/10.5281/zenodo.15424103.

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<em>This paper presents the development of a Virtual Conversational Companion AI, designed to create engaging and structured interactions. The system features a customizable Virtual model, allowing users to choose a character with distinct personality traits, making conversations more relatable and enjoyable. To maintain consistency and relevance, structured dialogue flows are implemented, ensuring meaningful exchanges. The chatbot also incorporates phoneme-based lip-syncing to align speech with facial movements, creating a more natural and immersive experience.</em> <em>The user interface is

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Ansari, Tarique. "Conversational AI Assistant." International Journal for Research in Applied Science and Engineering Technology 10, no. 11 (2022): 1169–72. http://dx.doi.org/10.22214/ijraset.2022.47554.

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Abstract: A conversational assistant is an intelligent conversational computing system designed to mimic human speech to provide automated online guidance and support. The growing benefits of conversational support have led to widespread adoption across many industries to provide virtual support to their customers. Conversation assistance uses methods and algorithms from his two fields of artificial intelligence: natural language processing and machine learning. However, the application has many challenges and limitations. This research reviews recent advances in conversation support using art

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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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Watkinson, Neftali, Fedor Zaitsev, Aniket Shivam, et al. "EdgeAvatar: An Edge Computing System for Building Virtual Beings." Electronics 10, no. 3 (2021): 229. http://dx.doi.org/10.3390/electronics10030229.

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Dialogue systems, also known as conversational agents, are computing systems that use algorithms for speech and language processing to engage in conversation with humans or other conversation-capable systems. A chatbot is a conversational agent that has, as its primary goal, to maximize the length of the conversation without any specific targeted task. When a chatbot is embellished with an artistic approach that is meant to evoke an emotional response, then it is called a virtual being. On the other hand, conversational agents that interact with the physical world require the use of specialize

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Minh, Nguyen Thi Hong, and Le Duy Khanh. "Using Artificial Intelligence Tools for Developing Conversational Skills for English Majors." European Modern Studies Journal 8, no. 2 (2024): 461–69. http://dx.doi.org/10.59573/emsj.8(2).2024.40.

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Despite the potential of Virtual Conversation Assistants as effective tools for conversing support in developing students’ conversational skills, their presence in Vietnamese schools or universities remains limited, often due to cost constraints, quality of language interaction, and their unpopularity among Vietnamese students. Therefore, it is essential that English language educators seek alternative strategies to offer additional assistance for the enhancement of students' abilities to converse effectively. This experimental study pilots the implementation of Call Annie and Praktika, two ar

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Pappula, Sharmila Reddy, and Sathwik Rao Allam. "LLMs for Conversational AI: Enhancing Chatbots and Virtual Assistants." International Journal of Research Publication and Reviews 4, no. 12 (2023): 1601–11. http://dx.doi.org/10.55248/gengpi.4.1223.123425.

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Beaver, Ian, and Abdullah Mueen. "On the Care and Feeding of Virtual Assistants: Automating Conversation Review with AI." AI Magazine 42, no. 4 (2022): 29–42. http://dx.doi.org/10.1609/aimag.v42i4.15101.

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With the rise of intelligent virtual assistants (IVAs), there is a necessary rise in human effort to identify conversations containing misunderstood user inputs. These conversations uncover error in natural language understanding and help prioritize improvements to the IVA. As human analysis is time consuming and expensive, prioritizing the conversations where misunderstanding has likely occurred reduces costs and speeds IVA improvement. In addition, less conversations reviewed by humans mean less user data are exposed, increasing privacy. We describe Trace AI, a scalable system for automated

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Beaver, Ian, and Abdullah Mueen. "On the Care and Feeding of Virtual Assistants: Automating Conversation Review with AI." AI Magazine 42, no. 4 (2022): 29–42. http://dx.doi.org/10.1609/aaai.12024.

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With the rise of intelligent virtual assistants (IVAs), there is a necessary rise in human effort to identify conversations containing misunderstood user inputs. These conversations uncover error in natural language understanding and help prioritize improvements to the IVA. As human analysis is time consuming and expensive, prioritizing the conversations where misunderstanding has likely occurred reduces costs and speeds IVA improvement. In addition, less conversations reviewed by humans mean less user data are exposed, increasing privacy. We describe Trace AI, a scalable system for automated

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Ong, Ethel, Christine Rachel De Jesus, Luisa Katherine Gilig, and Dionne Tiffany Ong. "Shared storytelling with a virtual learning companion: prospects in child-AI collaboration." Research and Practice in Technology Enhanced Learning 20 (October 14, 2024): 031. http://dx.doi.org/10.58459/rptel.2025.20031.

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Advances in natural language processing techniques enhance the capabilities of conversational agents to process input text and generate fluent responses in various genre. In the educational setting, these conversational agents can function as learning companions to promote peer learning, enhance social interaction, and motivate collaborative behavior. In this paper, we investigate how children collaborate with conversational agents in the context of story construction. We conducted user studies and administered survey forms to collect children’s evaluation of their experience, captured the chi

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Mohammed, Dr Farheen. "Conversational AI: Designing Intelligent Chatbots and Virtual Assistants." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem34774.

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Conversational AI has revolutionized the way humans interact with machines. By leveraging advances in Natural Language Processing (NLP) and Machine Learning (ML), intelligent Chatbots and virtual assistants have become integral tools across various sectors. This paper explores the design principles, technological frameworks, and application areas of conversational AI, focusing on the challenges and future directions of this rapidly evolving field.

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Sonawane, Prasad R. "Nexmind." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (2025): 1–9. https://doi.org/10.55041/ijsrem41910.

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This paper presents NextMind, an AI-driven interactive system designed to provide human-like companionship through three AI models: Girlfriend AI, Doppelgänger AI, and Friend AI. These models serve distinct purposes: the Girlfriend AI simulates real relationships with human-like interaction, requiring users to build and maintain engagement; the Doppelgänger AI acts as a personal memory assistant, recalling past conversations and experiences for a seamless, personalized experience; and the Friend AI functions as a problem-solving assistant akin to ChatGPT. The NextMind system utilizes Natural L

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Grinshkun, Vadim V., and Sofya I. Dreytser. "Definition of reflection characteristics of educational process participants with artificial intelligence application." RUDN Journal of Informatization in Education 20, no. 2 (2023): 127–37. http://dx.doi.org/10.22363/2312-8631-2023-20-2-127-137.

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Problem statement . Artificial intelligence (AI) conversational tools like chat-bots, virtual assistants and dialog trainers begin to apply in education. However, its efficiency wasn't explored because of novelty and lack of related application experience. In this research an approach to conversations based on AI is considered as means to define reflection of educational process participants. And definition results of reflection are compared between an AI conversational tool and an expert's assessment in the educational process. Methodology . Opportunities of conversational simulations based o

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Omarov, Batyrkhan, Sergazy Narynov, and Zhandos Zhumanov. "Development of Chatbot-Psychologist: Dataset, Architecture, Design and Chatbot in Use." Вестник КазАТК 123, no. 4 (2022): 463–71. http://dx.doi.org/10.52167/1609-1817-2022-123-4-463-471.

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Virtual assistants are software applications that allow users to have conversations with the software in the same way as they would in real life. Creating functional conversational agents have been the most challenging aspect of working with AI ever since the field was first introduced. Virtual conversational agents' primary responsibility is to properly interpret natural communication and reply in an acceptable manner, in spite of the fact that they may do a range of activities. In the past, AI agents were created either via the use of handwritten rules and commands or by straightforward stat

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García-Torres, Daniel, María Asunción Vicente Ripoll, César Fernández Peris, and José Joaquín Mira Solves. "Enhancing Clinical Reasoning with Virtual Patients: A Hybrid Systematic Review Combining Human Reviewers and ChatGPT." Healthcare 12, no. 22 (2024): 2241. http://dx.doi.org/10.3390/healthcare12222241.

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Objectives: This study presents a systematic review aimed at evaluating the effectiveness of virtual patients in enhancing clinical reasoning skills in medical education. A hybrid methodology was used, combining human reviewers and ChatGPT to assess the impact of conversational virtual patients on student learning outcomes and satisfaction. Methods: Various studies involving conversational virtual patients were analyzed to determine the effect of these digital tools on clinical competencies. The hybrid review process incorporated both human assessments and AI-driven reviews, allowing a compari

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Lertbumroongchai, Kridsanapong, Weena Janratchakool, and Vitsanu Nittayathammakul. "Using Virtual Reality and Conversational AI to Enhance High School Students’ Intentions to Pursue Computer Science: Insights from the CS RMUTT Virtual Tour." Studies in Media and Communication 13, no. 3 (2025): 87. https://doi.org/10.11114/smc.v13i3.7683.

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The integration of Virtual Reality (VR)and Conversational AI in education has modernized how students engage with educational and career guidance. Despite the growing integration of VR and Conversational AI in education, empirical studies on their combined impact on students’ intentions to pursue computer science remain limited. This study proposes the Conversational AI-empowered Virtual Reality System (CAI-VR system)as an educational guidance tool designed to enhance high school students' intentions to pursue a Bachelor of Science in Computer Science at RMUTT. We employed a developmental rese

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Goar, Vishal, Nagendra Singh Yadav, and Pallavi Singh Yadav. "Conversational AI for Natural Language Processing: An Review of ChatGPT." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 3s (2023): 109–17. http://dx.doi.org/10.17762/ijritcc.v11i3s.6161.

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ChatGPT is a conversational artificial intelligence model developed by OpenAI, which was introduced in 2019. It employs a transformer-based neural mesh to produce human being responses in real-time, allowing for natural language conversations with a machine. ChatGPT is instructed on huge quantities of data captured using the internet, making it knowledgeable in an extensive span of topics, from news & entertainment to politics and sports. This allows it to generate contextually relevant responses to questions and statements, making the conversation seem more lifelike. The model can be used

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Segall, Richard. "What is ChatGPT and its Present and Future for Artificial Intelligence in Trans-Disciplinary Communications?" Journal of Systemics, Cybernetics and Informatics 21, no. 4 (2023): 92–98. http://dx.doi.org/10.54808/jsci.21.04.92.

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The development of ChatGPT and introduction in November 2022 by OpenAI has generated a turbulence in the conversational Artificial Intelligence (AI) arena with a new technology that generates written answers in response to verbal input as written queries such as that used in Chatbots, AI system conversations, and virtual assistants. All of the references used in this paper are publications in the year 2023. This paper provides a brief introduction to what is ChatGPT and its development, its benefits and limitations, illustration of how ChatGPT works and its future in AI and Trans-Disciplinary

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D Gaikwad Aishwarya, Smit. "Sahara: Virtual Companion - Exploring Multimodal Empathetic Conversational AI leveraging Ensemble Learning with Humor." International Journal of Science and Research (IJSR) 13, no. 4 (2024): 1501–7. http://dx.doi.org/10.21275/sr24419013403.

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Etibar Aliyev, Oluyinka Adedokun, Adetutu Temitope Fabusoro, and Babatunde Keshinro. "AI-enhanced conversational avatars for immersive interaction." World Journal of Advanced Research and Reviews 26, no. 1 (2025): 627–34. https://doi.org/10.30574/wjarr.2025.26.1.1101.

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This paper reviews the significance of key technologies of AI-enhanced conversational avatars and their applications for immersive interaction, including increased AI system adoption, enhanced trustworthiness, and personalized and engaging interactions. Using empirical data and case studies, this paper provides evidence regarding recent advancements that facilitate high-fidelity and style-controllable avatar generation, providing customizable options for users for online social interactions. This is possible by integrating several AI modules like text-to-speech, speech recognition, and open-do

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Muhammad Bilal Ahmad Jamil and Duryab Shahzadi. "A systematic review A Conversational interface agent for the export business acceleration." Lahore Garrison University Research Journal of Computer Science and Information Technology 7, no. 02 (2023): 37–49. http://dx.doi.org/10.54692/lgurjcsit.2023.0702430.

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Conversational agents, which understand, respond to, and learn from each interaction using Automatic Speech Recognition (ASR), Natural Language Processing (NLP), Advanced Dialog Management, and Machine Learning (ML), have become more common in recent years. Conversational agents, also referred to as chatbots, are used to have real-time conversations with individuals. As a result, conversational agents are now being used in a variety of sectors, including those in education, healthcare, marketing, customer assistance, and entertainment. Conversational agents, which are frequently used as chatbo

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Li, Yanan. "Research on Natural Language Processing and Conversational Interaction of AI in Education." Journal of Big Data and Computing 2, no. 3 (2024): 72–77. https://doi.org/10.62517/jbdc.202401312.

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This study explores the theoretical applications of artificial intelligence (AI) in natural language processing (NLP) and conversational interaction within the educational domain. With the rapid advancement of AI, NLP and conversational systems offer transformative potential for education, revolutionizing traditional educational models. Through literature review and theoretical framework construction, this research systematically reviews the history and current state of AI applications in education. It highlights their potential to enhance educational quality, promote personalized learning, an

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Vakulenko, Svitlana, Evangelos Kanoulas, and Maarten De Rijke. "A Large-scale Analysis of Mixed Initiative in Information-Seeking Dialogues for Conversational Search." ACM Transactions on Information Systems 39, no. 4 (2021): 1–32. http://dx.doi.org/10.1145/3466796.

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Conversational search is a relatively young area of research that aims at automating an information-seeking dialogue. In this article, we help to position it with respect to other research areas within conversational artificial intelligence (AI) by analysing the structural properties of an information-seeking dialogue. To this end, we perform a large-scale dialogue analysis of more than 150K transcripts from 16 publicly available dialogue datasets. These datasets were collected to inform different dialogue-based tasks including conversational search. We extract different patterns of mixed init

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Raghu Chukkala. "The evolution of generative AI in conversational systems: advancing chatbots and CCAI for Next-Gen Business Intelligence." Global Journal of Engineering and Technology Advances 23, no. 2 (2025): 195–206. https://doi.org/10.30574/gjeta.2025.23.2.0161.

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The integration of Generative AI (GenAI), Conversational AI (CCAI), and advanced chatbots is fundamentally transforming business-machine interactions across industries. This comprehensive article explores the evolution from rudimentary rule-based systems to sophisticated AI-driven conversational agents capable of understanding context, emotions, and complex intent. It examines cutting-edge developments in multi-turn contextual understanding, few-shot learning, and autonomous self-improvement capabilities that have revolutionized how businesses engage with customers. The article extends to ente

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Yan, Rui, and Wei Wu. "Empowering Conversational AI is a Trip to Mars: Progress and Future of Open Domain Human-Computer Dialogues." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 17 (2021): 15078–86. http://dx.doi.org/10.1609/aaai.v35i17.17771.

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Dialogue systems powered by conversational artificial intelligence (AI) have never been so popular. Interacting with computer through languages reveals a more natural interface to give orders and acquire information---just like human communication. Due to promising potential as virtual assistants and/or social bots, major NLP, AI and even Search & Mining communities are explicitly calling-out for contributions of conversational studies. Learning towards real conversational intelligence is a trip to Mars; perhaps we are yet on Earth. We have achieved substantial progress from recent researc

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Alladi, Ramesh. "Programmable NLU Powered 3-in-1 Bot :Video, Voice, Text." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 06 (2025): 1–9. https://doi.org/10.55041/ijsrem49760.

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Abstract - This study introduces a Programmable NLU-Powered 3-in-1 ChatBot, a conversational AI framework designed to enhance response precision and contextual relevance through the integration of multiple specialized language models. The system comprises three distinct large language models (LLMs), each optimized for specific interaction domains: general conversation, problem-solving, and technical inquiry. A fourth LLM operates as a natural language understanding (NLU) controller, responsible for analyzing user input and determining the most appropriate model to handle the query. Developed u

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Bouhlal, Hind, and Noureddine Belahcen. "The Influence of Conversational AI on Consumer Behavior and Counterfactual Thinking: A Systematic Review." European Scientific Journal, ESJ 21, no. 4 (2025): 69. https://doi.org/10.19044/esj.2025.v21n4p69.

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This document evaluates the development and importance of conversational AI, chatbots, and virtual assistants in shaping human behavior and decision-making,particularly in the context of e-commerce. It is designed to investigate the impact of AI on the personalization of user experiences, and maps how the automation of decision-making affects cognitive processes like counterfactual thinking and regret. The findings sugest that while conversational AI enhances the shopping experience through personalized product recommendations, it can also trigger cognitive biases such as regret by exposing co

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Sriganesh, Nisha, and Allyson Eamer. "Chatting with Al Capone: Leveraging virtual conversational agents in emotional landscapes." Australian Journal of Applied Linguistics 8, no. 2 (2025): 102513. https://doi.org/10.29140/ajal.v8n2.102513.

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This article explores the extent to which virtual conversational agents generated by artificial intelligence (AI) are being leveraged by language learning apps to develop social, emotional and intercultural skills in language learners. While the affordances of natural language processing (NLP) technology are well-documented in the cognitive domains of language learning (e.g. vocabulary acquisition, grammar), significantly less research has explored how learners’ interactions with virtual conversational agents can build socio-emotional and intercultural competence. We engage in dialogues within

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Sabir, Aqsa, Rahat Hussain, Akeem Pedro, and Chansik Park. "Personalized construction safety training system using conversational AI in virtual reality." Automation in Construction 175 (July 2025): 106207. https://doi.org/10.1016/j.autcon.2025.106207.

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Lee, Nicole, Mary Legrand, Sravan Sriram, and Rezza Moieni. "Architecting Secure and Scalable AI Chatbot for Diversity Data Using Fine Tuned LLMs With RAG Framework and Lambda Functions." Asian Journal of Social Science Studies 10, no. 2 (2025): 1. https://doi.org/10.20849/ajsss.v10i2.1507.

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In this paper, the authors present a web-based AI chatbot architecture development to understand the challenges of building an intuitive virtual agent capable of extracting insights from diversity data. The developed chatbot combines an information retrieval system with a fine-tuned Large Language Models (LLMs) that is specialised in logic calculations to generate responses. This approach also highlights the importance of balancing diversity’s data security with the users’ desire for a conversational experience. Unlike modern open-domain AI agents that interpret the data and generate responses

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Naser, Omar Mohammed Abubaker, Hamzah Abdullah Faraj, and Khamni Mohamed Elmbark. "AI-Driven Conversational Interfaces: Advancements in Human-Machine Communication." International Journal for Research in Applied Science and Engineering Technology 12, no. 12 (2024): 2161–67. https://doi.org/10.22214/ijraset.2024.66167.

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Abstract: Conversational interfaces powered by Artificial Intelligence (AI) have revolutionized human-machine communication, enabling seamless interactions across various domains. This paper explores the advancements in AI-driven conversational systems, emphasizing key technologies such as Natural Language Processing (NLP), machine learning, and speech recognition. From virtual assistants to healthcare chatbots, these systems have enhanced user engagement, accessibility, and efficiency. However, challenges remain, including context understanding, real-time processing, and ethical concerns such

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Pottla, Vamsi Krishna. "TESTING CONVERSATIONAL AI AND VOICE UIS IN HEALTHCARE: AUTOMATION STRATEGIES FOR CHATBOTS AND VIRTUAL ASSISTANTS." international journal of advanced research in computer science 16, no. 03 (2025): 71–74. https://doi.org/10.26483/ijarcs.v16i3.7265.

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Conversational AI technologies, including chatbots and voice assistants, are fundamentally transforming the healthcare landscape by introducing innovative interaction methods for both patients and providers [1]. These technologies facilitate more efficient communication, improve patient engagement, and streamline processes, but they also come with significant challenges. The complexity of healthcare-specific dialogues—often filled with medical terminology, patient emotions, and diverse scenarios—requires robust and rigorous testing to ensure effectiveness [2]. Moreover, adherence to regulatory

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Patel, Prey K., and Apexa V. Patel. "MyHealthAlly: An AI-Powered Conversational Assistant for Personalized Healthcare Guidance." International Scientific Journal of Engineering and Management 04, no. 04 (2025): 1–7. https://doi.org/10.55041/isjem02859.

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This study introduces My Health Ally, a conversational assistant driven through the use of natural language processing (NLP) in artificial intelligence (AI) to deliver tailored healthcare advice. The vision of this article is to create and deploy a user-centered virtual assistant that can comprehend, process, and reply to natural language inquiries about health. By using cutting-edge NLP techniques, My Health Ally seeks to close the gap between patients and medical professionals by providing trustworthy information, symptom checking, and wellness advice based on each user's unique needs. To im

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Sharma, Yash, Vatsal, Om Raikwar, Tushar, and Suresh Wati. "AI Chatbot using Machine Learning." International Journal for Research in Applied Science and Engineering Technology 12, no. 1 (2024): 1500–1503. http://dx.doi.org/10.22214/ijraset.2024.57932.

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Abstract: Technology has had a significant impact on civilization in the contemporary era. Since the development of the greatest virtual assistants, chatbots have grown in popularity in conversational services. Chatbots are software systems that understand and process natural language. Chatbots can be a source of amusement, a vital component of home automation projects, offer advice on company strategy, and aid in other ways, in addition to supporting users with duties such as booking movie tickets or identifying the nearest restaurant. This paper will go over the many types of chatbots and th

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Nguyen, Lam Anh Duong, Vu Minh Thu Dang, and Mai Thy Le. "An Investigation into Students' Perception of Using Call Annie as a Virtual Conversational Partner." Proceedings of the AsiaCALL International Conference 6 (February 3, 2025): 344–64. https://doi.org/10.54855/paic.24624.

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There is no doubt that using AI tools to learn a foreign language has become more common in recent years. This study aims to explore students’ perception of using Call Annie – an AI-powered tool – to practice speaking regularly, as part of their homework to find out their perceived advantages and disadvantages after conversing with the application. This research project employed 85 English majors at a university for the investigation, in which both quantitative and qualitative data were collected via questionnaires and interviews to observe their interactions with the Call Annie chatbot for ho

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Dheer, Pulkit. "Voice-Based Al Chatbots: Enhancing Human-Computer Interaction." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42448.

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Voice-based chatbots have transformed human- computer interaction by enabling perfect, intuitive, and hands-free communication. Virtual attendees like Amazon Alexa, Google Assistant, Apple Siri, and Microsoft Cortana use artificial intelligence (AI) and natural language processing (NLP) to understand spoken commands and provide contextual responses. These systems are widely used in several fields, including customer service, medical care, and intelligent home automation. This investigation investigates the evolution of the chatbots of the voice promoted by the voice, emphasizing the advances i

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Researcher. "BUILDING AI CHATBOTS AND VIRTUAL ASSISTANTS: A TECHNICAL GUIDE FOR ASPIRING PROFESSIONALS." International Journal of Research In Computer Applications and Information Technology (IJRCAIT) 7, no. 2 (2024): 448–63. https://doi.org/10.5281/zenodo.13991460.

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This technical article provides a comprehensive roadmap for developing AI-powered chatbots and virtual assistants. It covers essential topics including natural language processing foundations, development platform selection, chatbot building basics, API integration, advanced features implementation, and testing strategies. The article aims to equip both seasoned developers and newcomers with practical skills and theoretical knowledge necessary for creating effective conversational AI interfaces. Through hands-on examples, best practices, and industry insights, readers will gain a well-rounded

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Aicha, Malak Ghimouz. "Unlocking Potential: The Synergy of NLP and AI: Transforming Virtual Assistant Capabilities." Engineering and Technology Journal 10, no. 01 (2025): 3643–45. https://doi.org/10.5281/zenodo.14755061.

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The rapid evolution of Natural Language Processing (NLP) and Artificial Intelligence (AI) has paved the way for more sophisticated virtual assistants capable of understanding, interpreting, and responding to human language in a highly intuitive manner. This article explores the intersection of NLP and AI, focusing on how their integration has revolutionized the capabilities of virtual assistants, making them indispensable tools in diverse industries such as customer service, healthcare, and personal productivity. Through a detailed examination of core NLP tasks such as tokenization, named enti

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Sinha, Abhinav. "Style Craft: AI-Driven Fashion Platform." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47571.

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1. ABSTRACT As artificial intelligence continues to reshape industries, personalized and intelligent systems are becoming essential for enriching digital experiences. Style Craft: AI-Driven Fashion Platform introduces a next-generation fashion assistant designed to redefine how users discover, interact with, and personalize their style choices. The platform delivers curated fashion recommendations, enables virtual outfit trials, and helps users stay updated with current trends through an intuitive and immersive interface. Built with Python and enhanced by cutting-edge AI methodologies, the sys

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Shahzadi, Sonia, Nauman Riaz Chaudhry, and Muddesar Iqbal. "A Novel 6G Conversational Orchestration Framework for Enhancing Performance and Resource Utilization in Autonomous Vehicle Networks." Sensors 23, no. 17 (2023): 7366. http://dx.doi.org/10.3390/s23177366.

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A vision of 6G aims to automate versatile services by eliminating the complexity of human effort for Industry 5.0 applications. This results in an intelligent environment with cognitive and collaborative capabilities of AI conversational orchestration that enable a variety of applications across smart Autonomous Vehicle (AV) networks. In this article, an innovative framework for AI conversational orchestration is proposed by enabling on-the-fly virtual infrastructure service orchestration for Anything-as-a-Service (XaaS) to automate a network service paradigm. The proposed framework will poten

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Aryanti, Risma Dwi, and Made Hery Santosa. "A Systematic Review on Artificial Intelligence Applications for Enhancing EFL Students’ Pronunciation Skill." Art of Teaching English as a Foreign Language 5, no. 1 (2024): 102–13. http://dx.doi.org/10.36663/tatefl.v5i1.718.

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This systematic literature review examines the impact of AI applications, including ELAi app, ELSA Speak, and Lyra Virtual Assistant, on the pronunciation skills of English as a Foreign Language (EFL) students. By analyzing ten relevant articles published between 2018 and 2023, this review identifies the unique features and effects of these AI tools. ELAi app emphasizes spontaneous speech and topic development, offering comprehensive feedback. ELSA Speak accurately detects pronunciation errors and provides a wide range of lessons. Lyra Virtual Assistant acts as a conversational companion, supp

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Mohamed Abdul Kadar and Rahul Modak. "VITA: Conversational AI health assistants' impact on patient engagement and clinical workflow integration." World Journal of Advanced Research and Reviews 10, no. 3 (2021): 499–507. https://doi.org/10.30574/wjarr.2021.10.3.0236.

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This research investigates the implementation and impact of Virtual Intelligence Therapeutic Assistants (VITA), a conversational AI-based health assistant designed to enhance patient engagement and integrate with clinical workflows. Through a mixed-methods study involving 487 patients and 42 healthcare providers across three medical centers, we evaluated VITA's effectiveness in improving patient communication, treatment adherence, and clinical efficiency. Results demonstrated a 37% increase in medication adherence, 42% improvement in appointment attendance, and 28% reduction in administrative

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T, Karunakaran. "Common Sense Reasoning on Fully Localized AI; A Novel systematic Survey." International Journal for Research in Applied Science and Engineering Technology 13, no. 1 (2025): 1443–53. https://doi.org/10.22214/ijraset.2025.66589.

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In the modern world of AI, reasoning is the fundamental building block for it, from conversable AI to tasking robots from simple to humanoid, different decisions need to be made on the basis of the various reasoning which includes common sense. The most advanced systems still struggle with higher levels of reasons with common sense for which human is trivial. The paper brings survey on common sense reasoning that can be fully localized to bring in a state of the art frameworks for common sense reasoning to be fully localized. The paper also tries to bring forward that there is more research sc

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Kumar, Mr A. Ganesh, K. Leela Lakshmi, K. Siva Priya, G. Devi, and G. Ravi Varma Teja. "StudentEase: An AI-Powered College Helpdesk Chatbot." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42293.

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Students frequently struggle to access important academic information on the existing college website. Navigating a standard college website to acquire key academic information can take time, especially during exam periods when students struggle to find facts such as faculty profiles, class calendars, and exam dates. To address these issues, our project introduces StudentEase, an AI-powered interactive chatbot that functions as a virtual assistant for students. The chatbot, which uses Natural Language Processing (NLP) and machine learning models such as Sentence Transformer and Ollama, allows

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Yadlapati, Mahesh. "CONVERSATIONAL AI FOR PERSONALIZED WEALTH MANAGEMENT IN CLOUD-BASED CRM SOLUTIONS." international journal of advanced research in computer science 16, no. 3 (2025): 22–27. https://doi.org/10.26483/ijarcs.v16i3.7263.

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Conversational AI has emerged as a transformative tool for personalized wealth management within cloud-based CRM solutions [1]. With the increasing complexity of financial services, clients demand personalized interactions and real-time insights tailored to their investment goals [2]. This paper explores the design and implementation of AI-driven virtual assistants to enhance client engagement, automate advisory services, and improve operational efficiency [3]. The proposed approach leverages Natural Language Processing (NLP), Machine Learning (ML), and cloud computing technologies to provide

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Sun, Yuqian, Chenhang Cheng, Chuyan Xu, Chang Hee Lee, and Ali Asadipour. "Hyborg Agency: Fostering AI Agents through Community Conversations in a Digital Forest." Proceedings of the ACM on Computer Graphics and Interactive Techniques 8, no. 3 (2025): 1–13. https://doi.org/10.1145/3736778.

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This paper presents Hyborg Agency, a computational ecosystem that explores how AI agents can meaningfully coexist with human society through the metaphor of a digital forest. By reimagining AI agents as mechanical deer, mutated from discarded electronics, the project defamiliarizes common perceptions of anthropomorphized AI agents, transforming them into non-human creatures with conversational abilities. The system employs Large Language Models (LLMs) to process community conversations, treating them as nutrients for AI growth, and features a dual-platform structure that connects an immersive

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Bidve, Vijaykumar, Amit Virkar, Prajakta Raut, and Samruddhi Velapurkar. "NOVA-a virtual nursing assistant." Indonesian Journal of Electrical Engineering and Computer Science 30, no. 1 (2023): 307. http://dx.doi.org/10.11591/ijeecs.v30.i1.pp307-315.

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The majority of people are medically unqualified to research or comprehend the severity of their ailments or symptoms. Natural language processing plays a critical role in healthcare in this area. These chatbots collect patient health data and, based on that data, provide more relevant information to patients about their physical ailments, as well as advise next steps. Artificial intelligence (AI)-powered healthcare chatbots are useful in the medical industry for supporting patients and directing them to the most appropriate resources. Chatbots are more useful for online searches that users or

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Vijaykumar, Bidve, Virkar Amit, Raut Prajakta, and Velapurkar Samruddhi. "NOVA-a virtual nursing assistant." NOVA-a virtual nursing assistant 30, no. 1 (2023): 307–15. https://doi.org/10.11591/ijeecs.v30.i1.pp307-315.

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The majority of people are medically unqualified to research or comprehend the severity of their ailments or symptoms. Natural language processing plays a critical role in healthcare in this area. These chatbots collect patient health data and, based on that data, provide more relevant information to patients about their physical ailments, as well as advise next steps. Artificial intelligence (AI)-powered healthcare chatbots are useful in the medical industry for supporting patients and directing them to the most appropriate resources. Chatbots are more useful for online searches that users or

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Hartholt, Arno, Ed Fast, Adam Reilly, Wendy Whitcup, Matt Liewer, and Sharon Mozgai. "Multi-Platform Expansion of the Virtual Human Toolkit: Ubiquitous Conversational Agents." International Journal of Semantic Computing 14, no. 03 (2020): 315–32. http://dx.doi.org/10.1142/s1793351x20400127.

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We present an extension of the Virtual Human Toolkit to include a range of computing platforms, including mobile, web, Virtual Reality (VR) and Augmented Reality (AR). The Toolkit uses a mix of in-house and commodity technologies to support audio-visual sensing, speech recognition, natural language processing, nonverbal behavior generation and realization, text-to-speech generation and rendering. It has been extended to support computing platforms beyond Windows by leveraging microservices. The resulting framework maintains the modularity of the underlying architecture, allows re-use of both l

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George, Babu, and Anupama Peter Mattathil. "Empowering African American Tourism Entrepreneurs with Generative AI: Bridging Innovation and Cultural Heritage." Societies 15, no. 2 (2025): 34. https://doi.org/10.3390/soc15020034.

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Generative artificial intelligence (AI) present opportunities and challenges for African American tourism entrepreneurs. This paper conceptually explores how tools like language models, image generators, and creative assistants can be used for content creation, personalized marketing, and deeper customer connections. Drawing on relevant innovation- and resource-related theories, this paper examines factors influencing the adoption of generative AI among African American tourism entrepreneurs. The analysis highlights the potential to address tourism-specific needs like virtual tours, multilingu

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Chugh, Saurabh. "Human-Computer Interaction with Voice-Driven AI Chatbots." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47444.

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Abstract - Voice-based chatbots have reshaped human-computer interaction by enabling seamless, intuitive, and hands-free communication. Popular virtual assistants like Amazon Alexa, Google Assistant, Apple Siri, and Microsoft Cortana use artificial intelligence (AI) and natural language processing (NLP) to interpret spoken commands and deliver contextually appropriate responses. These systems are now widely deployed across various fields, including customer service, healthcare, and smart home automation[3]. This investigation explores the evolution of voice-driven chatbots, highlighting advanc

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