Relevant bibliographies by topics / Conversational agent chatbots

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
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  5. Conference papers

Academic literature on the topic 'Conversational agent chatbots'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Conversational agent chatbots"

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Qin, Zhen (Luther). "Conversational Breakdown Detector for a Motivational Interviewing Conversational Agent." IJournal: Student Journal of the Faculty of Information 9, no. 1 (2023): 60–77. http://dx.doi.org/10.33137/ijournal.v9i1.42237.

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A conversational breakdown in human-chatbot interaction refers to a disruption or failure in the communicative flow between the human user and the chatbot. To recover a disrupted conversation, the first step is to detect the breakdown. Researchers have proposed methods using supervised learning and semi-supervised learning in dialogue systems to achieve the goal of detecting conversational breakdown. However, few studies have focused on detecting breakdowns in automated therapeutic conversations, especially conversations led by motivational interviewing chatbots. The presence of conversational
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L, Manigandan, and Sivakumar Alur. "Mapping the Research Landscape of Chatbots, Conversational Agents, and Virtual Assistants in Business, Management, and Accounting: A Bibliometric Review." Qubahan Academic Journal 3, no. 4 (2023): 502–13. http://dx.doi.org/10.58429/qaj.v3n4a252.

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This bibliometric review aims to map the research landscape of chatbots, conversational agents, and virtual assistants in the business, management, and accounting of the subject area. The review begins by examining the growth of research in this area over time, revealing an increasing interest in the application of chatbots, conversational agents, and virtual assistants in business, management, and accounting contexts. This study aims to contribute to the field of chatbot research by conducting a bibliometric analysis of chatbot, conversational agent and virtual assistant papers available in t
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Jiang, Zhiqiu, Mashrur Rashik, Kunjal Panchal, et al. "CommunityBots: Creating and Evaluating A Multi-Agent Chatbot Platform for Public Input Elicitation." Proceedings of the ACM on Human-Computer Interaction 7, CSCW1 (2023): 1–32. http://dx.doi.org/10.1145/3579469.

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In recent years, the popularity of AI-enabled conversational agents or chatbots has risen as an alternative to traditional online surveys to elicit information from people. However, there is a gap in using single-agent chatbots to converse and gather multi-faceted information across a wide variety of topics. Prior works suggest that single-agent chatbots struggle to understand user intentions and interpret human language during a multi-faceted conversation. In this work, we investigated how multi-agent chatbot systems can be utilized to conduct a multi-faceted conversation across multiple doma
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Omarov, Batyrkhan, Sergazi Narynov, Zhandos Zhumanov, Elmira Alzhanova, Aidana Gumar, and Mariyam Khassanova. "Artificial intelligence enabled conversational agent for mental healthcare." International journal of health sciences 6, no. 3 (2022): 1544–55. http://dx.doi.org/10.53730/ijhs.v6n3.13239.

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Conversational agents are a software program that can converse with users in the manner of a real-world conversation. Artificial intelligence (AI) is not complete without conversation modeling. The most difficult artificial intelligence endeavor since its start has been developing an effective chatbot application. Despite chatbots may do a variety of tasks, their main duty is to accurately understand human speech and respond appropriately. Previously, manual patterns and instructions or simple statistical methods were used to create chatbots architectures. Due to its improved capacity for trai
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Bennion, Matthew Russell, Gillian E. Hardy, Roger K. Moore, Stephen Kellett, and Abigail Millings. "Usability, Acceptability, and Effectiveness of Web-Based Conversational Agents to Facilitate Problem Solving in Older Adults: Controlled Study." Journal of Medical Internet Research 22, no. 5 (2020): e16794. http://dx.doi.org/10.2196/16794.

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Background The usability and effectiveness of conversational agents (chatbots) that deliver psychological therapies is under-researched. Objective This study aimed to compare the system usability, acceptability, and effectiveness in older adults of 2 Web-based conversational agents that differ in theoretical orientation and approach. Methods In a randomized study, 112 older adults were allocated to 1 of the following 2 fully automated interventions: Manage Your Life Online (MYLO; ie, a chatbot that mimics a therapist using a method of levels approach) and ELIZA (a chatbot that mimics a therapi
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Belainine, Billal, Fatiha Sadat, and Hakim Lounis. "Modelling a Conversational Agent with Complex Emotional Intelligence." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 10 (2020): 13710–11. http://dx.doi.org/10.1609/aaai.v34i10.7127.

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Chatbots or conversational agents have enjoyed great popularity in recent years. They surprisingly perform sensitive tasks in modern societies. However, despite the fact that they offer help, support, and fellowship, there is a task that is not yet mastered: dealing with complex emotions and simulating human sensations. This research aims to design an architecture for an emotional conversation agent for long-text conversations (multi-turns). This agent is intended to work in areas where the analysis of users feelings plays a leading role. This work refers to natural language understanding and
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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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Chen, Jengchung Victor, Huyen Thi Le, and Sinh Thi Thu Tran. "Understanding automated conversational agent as a decision aid: matching agent's conversation with customer's shopping task." Internet Research 31, no. 4 (2021): 1376–404. http://dx.doi.org/10.1108/intr-11-2019-0447.

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PurposeTo provide better services to customers, especially immediate responses and 24/7 availability, businesses are implementing text-based automated conversational agents, i.e. chatbots on their social platforms and websites. Chatbots are required to not only provide customers with necessary consultancy and guidance but also communicate friendly and socially. Based on the cognitive fit theory, this study attempts to examine the role of chatbot as a decision aid and how the match between information presentation in forms of decisional guidance and communication style and the shopping task inf
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Araujo, Theo. "Conversational Agent Research Toolkit : An alternative for creating and managing chatbots for experimental research1." Computational Communication Research 2, no. 1 (2020): 35–51. http://dx.doi.org/10.5117/ccr2020.1.002.arau.

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Abstract Conversational agents in the form of chatbots available in messaging platforms are gaining increasing relevance in our communication environment. Based on natural language processing and generation techniques, they are built to automatically interact with users in several contexts. We present here a tool, the Conversational Agent Research Toolkit (CART), aimed at enabling researchers to create conversational agents for experimental studies. CART integrates existing APIs frequently used in practice and provides functionality that allows researchers to create and manage multiple version
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Inupakutika, D., M. Nadim, G. R. Gunnam, et al. "Integration of NLP and Speech-to-text Applications with Chatbots." Electronic Imaging 2021, no. 3 (2021): 35–1. http://dx.doi.org/10.2352/issn.2470-1173.2021.3.mobmu-035.

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

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Ray, Arijit. "The Art of Deep Connection - Towards Natural and Pragmatic Conversational Agent Interactions." Thesis, Virginia Tech, 2017. http://hdl.handle.net/10919/78335.

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As research in Artificial Intelligence (AI) advances, it is crucial to focus on having seamless communication between humans and machines in order to effectively accomplish tasks. Smooth human-machine communication requires the machine to be sensible and human-like while interacting with humans, while simultaneously being capable of extracting the maximum information it needs to accomplish the desired task. Since a lot of the tasks required to be solved by machines today involve the understanding of images, training machines to have human-like and effective image-grounded conversations with h
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Lidén, Alexander, and Karl Nilros. "Percieved benefits and limitations of chatbots in higher education." Thesis, Linnéuniversitetet, Institutionen för informatik (IK), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-96327.

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Prior to 2012 artificial intelligence, the study of intelligent agents, followed Moore’s law which states that compute is doubling every two years. Post 2012 it has been doubling every 3.4 months. However, intelligent agents are focusing on human language, and conversation is rarely developed for education. This study investigates a student’s perceived benefits and limitations of chatbots in higher education, by exploring the relative advantage, complexity, and compatibility of a different chatbot functionality. By interviewing students the authors could establish four different themes that pe
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Elvir, Miguel. "EPISODIC MEMORY MODEL FOR EMBODIED CONVERSATIONAL AGENTS." Master's thesis, University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3000.

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Embodied Conversational Agents (ECA) form part of a range of virtual characters whose intended purpose include engaging in natural conversations with human users. While works in literature are ripe with descriptions of attempts at producing viable ECA architectures, few authors have addressed the role of episodic memory models in conversational agents. This form of memory, which provides a sense of autobiographic record-keeping in humans, has only recently been peripherally integrated into dialog management tools for ECAs. In our work, we propose to take a closer look at the shared characteris
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Jusko, Ján. "Chatbot pro Smart Cities." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2019. http://www.nusl.cz/ntk/nusl-403204.

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The aim of this work is to simplify access to information for citizens of the city of Brno and at the same time to innovate the way of communication between the citizen and his city. The problem is solved by creating a conversational agent - chatbot Kroko. Using artificial intelligence and a Czech language analyzer, the agent is able to understand and respond to a certain set of textual, natural language queries. The agent is available on the Messenger platform and has a knowledge base that includes data provided by the city council. After conducting an extensive user testing on a total of 76
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Guichard, Jonathan. "Quality Assessment of Conversational Agents : Assessing the Robustness of Conversational Agents to Errors and Lexical Variability." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-226552.

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Assessing a conversational agent’s understanding capabilities is critical, as poor user interactions could seal the agent’s fate at the very beginning of its lifecycle with users abandoning the system. In this thesis we explore the use of paraphrases as a testing tool for conversational agents. Paraphrases, which are different ways of expressing the same intent, are generated based on known working input by performing lexical substitutions and by introducing multiple spelling divergences. As the expected outcome for this newly generated data is known, we can use it to assess the agent’s robust
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Desai, Krutarth. "California State University, San Bernardino Chatbot." CSUSB ScholarWorks, 2018. https://scholarworks.lib.csusb.edu/etd/775.

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Now-a-days the chatbot development has been moving from the field of Artificial-Intelligence labs to the desktops and mobile domain experts. In the fastest growing technology world, most smartphone users spend major time in the messaging apps such as Facebook messenger. A chatbot is a computer program that uses messaging channels to interact with users using natural Languages. Chatbot uses appropriate mapping techniques to transform user inputs into a relational database and fetch the data by calling an existing API and then sends an appropriate response to the user to drive its chats. Drawbac
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Olsen, Linnéa. "Can Chatbot technologies answer work email needs? : A case study on work email needs in an accounting firm." Thesis, Karlstads universitet, Handelshögskolan (from 2013), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-85013.

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Work email is one of the organisations most critical tool today. It`s have become a standard way to communicate internally and externally. It can also affect our well-being. Email overload has become a well-known issue for many people. With interviews, follow up interviews, and a workshop, three persons from an accounting firm prioritise pre-define emails needs. And identified several other email needs that were added to the priority list. A thematic analysis and summarizing of a Likert scale was conducted to identify underlying work email needs and work email needs that are not apparent. Thre
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Sasso, Greta. "Chat e Oggetti Intelligenti: Un'Interfaccia Conversazionale per l’Internet Of Things." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2018. http://amslaurea.unibo.it/15589/.

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La tesi riguarda la progettazione e lo sviluppo di un sistema di integrazione delle Chat con gli Oggetti Intelligenti, dell'Internet Of Things. Si è sviluppato un sistema composto dal kit contenente le lampadine Philips Hue con cui l’utente abbia la possibilità di interagire tramite una chat di messaggistica mobile, come ad esempio Telegram o Facebook Messanger, utilizzando il linguaggio naturale per esprimere i propri desideri, intenzioni, come se stesse dialogando con un'altra persona. Si è quindi studiato e realizzato un diverso tipo di interfaccia per interagire con gli smart device sosti
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Orwick, Ogden Sherri L. "Agent for Interactive Student Assistance: A Study of an Avatar-Based Conversational Agent's Impact on Student Engagement and Recruitment at BGSU's College of Technology." Bowling Green State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1319804597.

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Bondanini, Andrea. "Chatbot ed Elaborazione Naturale del Linguaggio. Progettazione e realizzazione di un assistente sanitario." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2019.

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La tesi concerne lo studio e sviluppo di un agente conversazionale che trova applicazione in ambito sanitario, nell'ambito di un progetto in cooperazione con un'azienda del territorio (Onit srl). In particolare si vuole facilitare l'accesso alle prestazioni mediche erogate dal Servizio Sanitario Nazionale, permettendo ad paziente di prenotare i propri appuntamenti chattando in modo naturale tramite una applicazione di messaggistica. Il sistema predispone anche un servizio di FAQ, che l'utente può utilizzare per richiedere informazioni su una tipologia di prestazione medica.
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Books on the topic "Conversational agent chatbots"

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McTear, Michael. Conversational AI: Dialogue Systems, Conversational Agents, and Chatbots. Springer International Publishing AG, 2020.

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McTear, Michael. Conversational AI: Dialogue Systems, Conversational Agents, and Chatbots. Morgan & Claypool Publishers, 2020.

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McTear, Michael. Conversational AI: Dialogue Systems, Conversational Agents, and Chatbots. Morgan & Claypool Publishers, 2020.

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McTear, Michael. Conversational AI: Dialogue Systems, Conversational Agents, and Chatbots. Morgan & Claypool Publishers, 2020.

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BOONSTRA, Lee. Definitive Guide to Conversational AI with Dialogflow and Google Cloud: Build Advanced Enterprise Chatbots, Voice, and Telephony Agents on Google Cloud. Apress L. P., 2021.

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Book chapters on the topic "Conversational agent chatbots"

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Joseph, Alwin, and Naived George Eapen. "Conversational Agents and Chatbots." In Machine Learning and Deep Learning in Natural Language Processing. CRC Press, 2023. http://dx.doi.org/10.1201/9781003296126-4.

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Prinz, Konstantin. "Foundations of Artificial Intelligence and Conversational Agents." In The Smiling Chatbot. Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-40028-6_2.

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Etzrodt, Katrin. "The Ontological Classification of Conversational Agents." In Chatbot Research and Design. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68288-0_4.

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Cocchi, Arturo, Tibor Bosse, and Michelle van Pinxteren. "Should Conversational Agents Care About Our Gender Identity?" In Chatbot Research and Design. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54975-5_9.

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Catania, Fabio, Micol Spitale, Giulia Cosentino, and Franca Garzotto. "Conversational Agents to Promote Children’s Verbal Communication Skills." In Chatbot Research and Design. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68288-0_11.

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Lee, Minha, and Jessica Contreras. "Flourishing with Moral Emotions Through Conversational Agents." In Human Flourishing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09786-7_11.

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AbstractThis chapter concerns how artificial agents can be used to bolster moral emotions like compassion that are linked to well-being. While technology-based interventions for well-being are plentiful, e.g., wellness apps, two critical components for flourishing in the twenty-first century are currently overlooked: (1) promoting moral emotions, e.g., gratitude, that relies on complex emotional experiences rather than simple negative or positive affect, and (2) using conversational agents, e.g., chatbots, rather than other technological interventions, e.g., mobile apps, which reframes well-be
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De Cicco, Roberta. "Exploring the Dark Corners of Human-Chatbot Interactions: A Literature Review on Conversational Agent Abuse." In Chatbot Research and Design. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54975-5_11.

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Penney, Jacob, João Felipe Pimentel, Igor Steinmacher, and Marco A. Gerosa. "Anticipating User Needs: Insights from Design Fiction on Conversational Agents for Computational Thinking." In Chatbot Research and Design. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54975-5_12.

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Chira, Chloe, Evangelos Mathioudis, Christina Michailidou, et al. "An Affective Multi-modal Conversational Agent for Non Intrusive Data Collection from Patients with Brain Diseases." In Chatbot Research and Design. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-25581-6_9.

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Wang, Boxuan, Mariët Theune, and Sumit Srivastava. "Examining Lexical Alignment in Human-Agent Conversations with GPT-3.5 and GPT-4 Models." In Chatbot Research and Design. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-54975-5_6.

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Conference papers on the topic "Conversational agent chatbots"

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Samonte, Mary Jane, Raphaela Dominique C. Arlando, Nicholas Andrew P. Joquiño, Jomari B. Manongas, and Jared O. Poblete. "Applications of Artificial Intelligence in Conversational Agents: A Systematic Literature Review of AI in Chatbots." In 2024 IEEE 4th International Conference on Software Engineering and Artificial Intelligence (SEAI). IEEE, 2024. http://dx.doi.org/10.1109/seai62072.2024.10674229.

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Dascalu, Maria-Iuliana, Vlad-Andrei Brîndușescu, Iulia-Cristina Stanica, et al. "CHATBOTS FOR CAREER GUIDANCE: THE CASE OF CAREPROFSYS CONVERSATIONAL AGENT." In 18th International Technology, Education and Development Conference. IATED, 2024. http://dx.doi.org/10.21125/inted.2024.1623.

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Jung, Ji-Youn, and Alessandro Bozzon. "Are Female Chatbots More Empathic? - Discussing Gendered Conversational Agent through Empathic Design." In EMPATHICH '23: EmpathiCH Workshop. ACM, 2023. http://dx.doi.org/10.1145/3588967.3588970.

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Liao, Ting, and Bei Yan. "Let’s Chat If You Are Unhappy – The Effect of Emotions on Interaction Experience and Trust Toward Empathetic Chatbots." In ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/detc2023-115318.

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Abstract Chatbots are now prevalent in obtaining information and executing tasks on behalf of human users. While the design community has paid more attention to streamlining user-chatbot interactions, the existing literature has not thoroughly examined social elements such as emotions and understood how emotions influence user interaction and trust in chatbots. This study proposes to test how participants perceive an empathetic chatbot versus a non-empathetic one under various emotional states (i.e., positive, neutral, negative) when the chatbot facilitates conversations for student advising v
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Ismail, Jabri, Aboulbichr Ahmed, and El ouaazizi Aziza. "Improving a Sequence-to-sequence NLP Model using a Reinforcement Learning Policy Algorithm." In 12th International Conference on Artificial Intelligence, Soft Computing and Applications. Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.122317.

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Nowadays, the current neural network models of dialogue generation(chatbots) show great promise for generating answers for chatty agents. But they are short-sighted in that they predict utterances one at a time while disregarding their impact on future outcomes. Modelling a dialogue’s future direction is critical for generating coherent, interesting dialogues, a need that has led traditional NLP dialogue models that rely on reinforcement learning. In this article, we explain how to combine these objectives by using deep reinforcement learning to predict future rewards in chatbot dialogue. The
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Liao, Ting, and Bei Yan. "Are You Feeling Happy? the Effect of Emotions on People’s Interaction Experience Toward Empathetic Chatbots." In ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/detc2022-91059.

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Abstract People may experience emotions before interacting with automated agents to seek information and support. However, existing literature has not well examined how human emotional states affect their interaction experience with agents or how automated agents should react to emotions. This study proposes to test how participants perceive an empathetic agent (chatbot) vs. a non-empathetic one under various emotional states (i.e., positive, neutral, negative) when the chatbot mediates the initial screening process for student advising. Participants are prompted to recall a previous emotional
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Georgescu, Alin andrei. "CHATBOTS FOR EDUCATION - TRENDS, BENEFITS AND CHALLENGES." In eLSE 2018. Carol I National Defence University Publishing House, 2018. http://dx.doi.org/10.12753/2066-026x-18-097.

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Conversational agents change the way we think and live, as they have the ability of being present and ready to provide help anytime and anywhere. From mobile phones or PCs to smart homes, virtual assistants may ease our lives, by doing tasks while conducting conversations. The effects bots can have on education change the humanity forever, implementing new educational principles designed as complementary to traditional methods and to teachers. They may have a major role in delivering pedagogical content and assessing, covering a wide variety of lessons and subjects by using multimedia content
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Huang, Jiayin, and Jonggi Hong. "Exploring User Behavior and Validation Proficiency in Assessing Responses from a Conversational Agent." In Human Interaction and Emerging Technologies (IHIET 2025). AHFE International, 2025. https://doi.org/10.54941/ahfe1006707.

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Large‐language–model (LLM) chatbots are rapidly becoming everyday information sources, yet little is known about how ordinary users verify their accuracy, especially in high-stakes domains such as health. This study investigates how and how well people validate ChatGPT’s answers when they can, or cannot, consult complementary web search results. Understanding these behaviors is essential for designing conversational systems that actively support responsible use rather than amplify misinformation.We conducted a within-subjects study with fifteen participants (7 women, 8 men, aged 22–27) recruit
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Monteiro, Mateus de Souza, Vinícius Carvalho Pereira, and Luciana Cardoso de Castro Salgado. "Design conversacional de chatbots: cultura, linguagem e participação." In Anais Estendidos do Simpósio Brasileiro de Sistemas Colaborativos. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/sbsc_estendido.2023.25653.

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The challenges in conversational design of chatbots that consider domain and/or user cultural issues are diverse. Among them, the lack of conceptual and/or theoretical approaches to guide the designer during the conversational design process. As a result, designers often rely on their own assumptions and linguistic preferences in conversation design. In this work, we discuss how the areas of HCI and CSCW can contribute to the inclusion of cultural issues in the participatory design process of conversational agents.
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Neji, Wissal, Naouel Boughattas, and Faten Ziadi. "Exploring New AI-Based Technologies to Enhance Students’ Motivation." In InSITE 2023: Informing Science + IT Education Conferences. Informing Science Institute, 2023. http://dx.doi.org/10.28945/5143.

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Aim/Purpose. The aim of this study is to propose a teaching approach based on AI-based chatbot agents and to determine whether the use of this approach increases the students’ motivation. Background. Today, chatbots are an integral part of students’ lives where they are used in various contexts. Therefore, we are interested in incorporating these tools into our teaching process in order to profit from their benefits, assist and guide students while working with to prevent issues such as plagiarism and mainly to boost students’ motivation. Methodology. Using the proposed approach, new chatbot b
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