Relevant bibliographies by topics / Chatbotar

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Chatbotar'

Author: Grafiati
Published: 15 June 2021
Last updated: 29 July 2025

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Journal articles on the topic "Chatbotar"

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

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The purpose of this study is to verify whether chatbots made with chatbot builders are suitable as a Korean speaking practice tool. Chatbot builders, which can be easily produced as chatbots without separate coding knowledge and can design conversations meaningful for learning, have recently been in the spotlight as a learning tool. In this study, chatbots were created using dialog flows, and conversation patterns with chatbots shared by study participants were analyzed. As a result of the analysis, it was found that 35% of all conversations were not successfully completed. Such a conversation
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Satiti, Laras Hayu, Endang Fauziati, and Endang Seytaningsih. "AI Chatbot as an Effective English Teaching Partner for University Students." International Journal of Educational Research & Social Sciences 5, no. 3 (2024): 463–69. https://doi.org/10.51601/ijersc.v5i3.820.

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This study investigated the effectiveness of an AI chatbot for improving English language skills among Indonesian university students. In order to address the research question, the researchers conducted an analysis of responses to a 20-item questionnaire distributed via Google Form among a sample of 95 university students. The survey was conducted to evaluate student perceptions of the chatbot's usability, language accuracy, feedback quality, and overall strengths. The findings revealed high student satisfaction with all aspects of the chatbot. Students agreed that the chatbot was user-friend
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Cui, Yichao, Yu-Jen Lee, Jack Jamieson, Naomi Yamashita, and Yi-Chieh Lee. "Exploring Effects of Chatbot's Interpretation and Self-disclosure on Mental Illness Stigma." Proceedings of the ACM on Human-Computer Interaction 8, CSCW1 (2024): 1–33. http://dx.doi.org/10.1145/3637329.

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Chatbots are increasingly being used in mental healthcare - e.g., for assessing mental-health conditions and providing digital counseling - and have been found to have considerable potential for facilitating people's behavioral changes. Nevertheless, little research has examined how specific chatbot designs may help reduce public stigmatization of mental illness. To help fill that gap, this study explores how stigmatizing attitudes toward mental illness may be affected by conversations with chatbots that have 1) varying ways of expressing their interpretations of participants' statements and 2
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Rangasamy, Sangeetha, Aishwarya Nagarathinam, Aarthy Chellasamy, and Elangovan N. "Health-Seeking Behaviour and the use of Artificial Intelligence-based Healthcare Chatbots among Indian Patients." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 10s (2023): 440–50. http://dx.doi.org/10.17762/ijritcc.v11i10s.7652.

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Artificial Intelligence (AI) based healthcare chatbots can scale up healthcare services in terms of diagnosis and treatment. However, the use of such chatbots may differ among the Indian population. This study investigates the influence of health-seeking behaviour and the availability of traditional, complementary and alternative medicine systems on healthcare chatbots. A quantitative study using a survey technique collects data from the Indian population. Items measuring the awareness of chatbot’s attributes and services, trust in the chatbots, health-seeking behaviour, traditional, complemen
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Chaves, Ana Paula, Jesse Egbert, Toby Hocking, Eck Doerry, and Marco Aurelio Gerosa. "Chatbots Language Design: The Influence of Language Variation on User Experience with Tourist Assistant Chatbots." ACM Transactions on Computer-Human Interaction 29, no. 2 (2022): 1–38. http://dx.doi.org/10.1145/3487193.

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Chatbots are often designed to mimic social roles attributed to humans. However, little is known about the impact of using language that fails to conform to the associated social role. Our research draws on sociolinguistic to investigate how a chatbot’s language choices can adhere to the expected social role the agent performs within a context. We seek to understand whether chatbots design should account for linguistic register. This research analyzes how register differences play a role in shaping the user’s perception of the human-chatbot interaction. We produced parallel corpora of conversa
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Bortko, Kamil, Kacper Fornalczyk, Jarosław Jankowski, Piotr Sulikowski, and Karina Dziedziak. "Impact of changes in chatbot’s facial expressions on user attention and reaction time." PLOS ONE 18, no. 7 (2023): e0288122. http://dx.doi.org/10.1371/journal.pone.0288122.

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Communication within online platforms supported by chatbots requires algorithms, language processing methods, and an effective visual representation. These are crucial elements for increasing user engagement and making communication more akin to natural conversation. Chatbots compete with other graphic elements within websites or applications, and thus attracting a user’s attention is a challenge even before the actual conversation begins. A chatbot may remain unnoticed even with sophisticated techniques at play. Drawing attention to the chatbot area localized within the periphery area can be
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Septiyanti, Nisa Dwi, Muhammad Irfan Luthfi, and Darmawansah Darmawansah. "Effect of Chatbot-Assisted Learning on Students’ Learning Motivation and Its Pedagogical Approaches." Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika 10, no. 1 (2024): 69–77. http://dx.doi.org/10.23917/khif.v10i1.4246.

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Abstract- The use of chatbots in the learning process has been increasingly investigated and applied. While many studies have discussed the chatbot's ability to motivate students' interest in learning, few have examined whether students' perception of learning affects the effectiveness of chatbots and the pedagogical approach taken by chatbots as conversational agents during the learning process. There is a need for new analysis to capture the effects of Chatbot-Assisted Learning (Chatbot-AL) and student-chatbot conversations. In an eight-week semester, 48 first-year undergraduate students par
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Cuddapah Anitha. "Applications of Natural Language Processing in Chatbot." Journal of Information Systems Engineering and Management 10, no. 33s (2025): 1099–106. https://doi.org/10.52783/jisem.v10i33s.5936.

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NLP has revolutionized chatbots into essential instruments for both enterprises and people. NLP improves the chatbot's capacity to emulate human-like interactions by utilizing techniques such as intent identification, sentiment analysis, and contextual comprehension. Natural Language Processing (NLP) has transformed chatbot interactions by allowing them to efficiently process, comprehend, and produce human language. This study examines many uses of natural language processing in chatbots, encompassing customer service and healthcare. It analyzes the technological progress in NLP that has impro
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Subramaniam, Nantha Kumar. "Enabling Learning of Programming through Educational Chatbot." International Journal of Research and Innovation in Applied Science IX, no. XII (2025): 470–77. https://doi.org/10.51584/ijrias.2024.912042.

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This research investigates the integration of AI-powered chatbots as transformative tools to enhance the teaching and learning of programming, specifically targeting Java programming in an open and distance learning (ODL) environment. The chatbot was conceptualized and developed using principles from constructivist, problem-based, and active learning theories to support a learner-centric approach. Designed to offer multimodal content, real-time feedback, and interactive problem-solving exercises, the chatbot aims to reduce cognitive load and facilitate a deeper understanding of complex program
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Biro, Joshua, Courtney Linder, and David Neyens. "The Effects of a Health Care Chatbot’s Complexity and Persona on User Trust, Perceived Usability, and Effectiveness: Mixed Methods Study." JMIR Human Factors 10 (February 1, 2023): e41017. http://dx.doi.org/10.2196/41017.

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

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Özpolat, Aykut, and Kim Berglund. "Jämförande studie inom ordförståelse för chatbotar." Thesis, KTH, Hälsoinformatik och logistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-278053.

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Sammanfattning Under de senaste åren har intresset ökat för så kallade chatbot-agenter som nyttjar mönsterigenkänning. Tjänsten används inom kundtjänstområdet och genererar affärsnyttagenom att minska personalkostnader och samtidigt säkerställa en hög tillgänglighetför kunder. För att optimera kundnytta krävs frekventa arbetsinsatser från förvaltarens sida, dåsystemets precision ökas genom anpassning av chatbotens svar utifrån tidigare konversationer.I syfte att undersöka ytterligare förbättringsåtgärder inom mönsterigenkänningför chatbotsystem, genomförs i detta arbete en jämförande studie me
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Anderson, Elise, and Isabelle Strömsrud. "Användbarhet av chatbotar i medelstora företag." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-171280.

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Combitech is aiming to develop their own intraweb and they are investigating if it ispossible to implement a bot that handles menial task to make daily tasks easier on their employees. This thesis investigates whether a chatbot which handles the booking of me-etings will be useful to the company. After implementing the chatbot and testing it with 5 employees the conclusion was made that a chatbot for meetings was not very useful.However, the testers were very positive about having a chatbot on the intraweb if it isimplemented for tasks which are timely or complicated to solve.<br>Combitech hål
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Nilstomt, Martin. "Utvärdering av upplevd effektivisering vid användandet av chatbot : Hur upplever supportpersonal chatbotar ur en effektivitetssynpunkt?" Thesis, Karlstads universitet, Handelshögskolan (from 2013), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-73272.

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Detta är en kvalitativ intervjustudie med syfte att undersöka hur supportpersonal upplever chatbotar ur en effektivitetssynpunkt. Fem testdeltagare med erfarenhet av supporthantering intervjuades i studien. Före intervju fick deltagarna genomföra testscenarion med två chatbotar. Testerna genomfördes med data ifrån verkliga och ofta återkommande supportärenden. Därefter intervjuades testdeltagarna om deras upplevelse av effektivisering vid supporthantering med en chatbot. Följande faktorer belystes: tid, kostnad, produktivitet, effektivitet och implementation. Intervjudata antyder at
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Persson, Jesper, and Måns Sandberg. "Bakomliggande intelligens i Bot Framework : En undersökning av Microsofts ramverk för att skapa chatbotar." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH, Datateknik och informatik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-46541.

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Purpose The purpose of the project was to investigate how a chatbot, based on the swedish version of Microsoft Bot Framework handles language based varieties of the users questions. This is to provide an overview of how Microsoft Bot Framework works. Method In order to answer the issues and thereby fulfill the purpose of the report, a case study based on the information on parts of the information that was available on the web page for The Courts of Sweden.. A qualitative, experimental study was made where the intelligence in Microsoft Bot Framework’s chatbot technology was tested within the c
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Svenningsson, Nina. "What’s up AI?! : En undersökning kring människoliknande beteende hos chatbotar och dess påverkan på användarupplevelsen." Thesis, Högskolan Kristianstad, Fakulteten för ekonomi, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-19854.

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Artificiell intelligens (AI) sprider sig genom samhället och används mer och mer inom flera olika områden. Chatbotar är en populär form av social AI som använder sig av naturligt språk för att kommunicera med användare. Det finns olika åsikter kring huruvida en chatbot ska prata och bete sig människolikt eller inte. Den ena sidan argumenterar att chatbotar ska fortsätta utvecklas för att kunna simulera mänskligt beteende och intelligens, å andra sidan argumenteras att chatbotar ska vara tydliga med att de är maskiner och att det även kan vara positivt för användarupplevelsen om chatbotar inte
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Gustafsson, Rickard, and Oskar Lindfors. "Hello, I'm an AI. What can I help you with? : En explorativ studie som undersöker användares attityder gentemot AI-drivna chatbotar." Thesis, Mittuniversitetet, Institutionen för medie- och kommunikationsvetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-42233.

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Detta är en explorativ studie som undersöker användares attityder gentemot AI-drivna chatbotar. Genom metoden fokusgrupper införskaffade vi empiriskt material som vi kategoriserade och analyserade med hjälp av en tematisk analys. Resultatet visade att användares inställning till chatbotar som kommunikationsverktyg är positiv, men de hade en bestämd uppfattning om vilka typer av uppgifter som lämpar sig för en chatbot och inte.
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Aljadri, Sinan. "Chatbot : A qualitative study of users' experience of Chatbots." Thesis, Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-105434.

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The aim of the present study has been to examine users' experience of Chatbot from a business perspective and a consumer perspective. The study has also focused on highlighting what limitations a Chatbot can have and possible improvements for future development. The study is based on a qualitative research method with semi-structured interviews that have been analyzed on the basis of a thematic analysis. The results of the interview material have been analyzed based on previous research and various theoretical perspectives such as Artificial Intelligence (AI), Natural Language Processing (NLP)
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Lönnqvist, Izabella, and Filiph Wallsten. "Chatboten Sally : Skillnader i förväntningar och resultat efter införandet av en chatbot hos Helsingborgs kommun." Thesis, Uppsala universitet, Informationssystem, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-376779.

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Chatbotar används idag på en mängd olika sätt. Det är vanligt att chatbotar implementeras som kundservice i olika företag, men att använda sig av en chatbot i en kommun är inte lika förekommande. Chatboten Sally är den första i sitt slag som en servicebot i Helsingborgs kommun och svarar på frågor om Vuxenutbildningen. Denna uppsats är ett resultat av en kvalitativ studie vars syfte har varit att ta reda på vilka förväntningar som fanns på chatboten innan införandet och vad resultat blev. Intervjuerna har gjorts med utvecklarna av chatboten på Helsingborgs kommun, chef samt kommunvägledare på
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Kottorp, Max, and Filip Jäderberg. "Chatbot As a Potential Tool for Businesses : A study on chatbots made in collaboration with Bisnode." Thesis, KTH, Industriell ekonomi och organisation (Inst.), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210768.

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The investigation aims to provide an answer to if a chatbot is a potential complement to an internal service desk of a company. The work has centered around developing a chatbot able to handle simple Q&amp;A-interaction of the internal service desk of Bisnode, the company in question. The chatbot acted as an proof of concept, which then was tested by 15 individuals. The testing was done with pre- defined user scenarios, where the test person ultimately had to fill in a questionnaire with statements related to the overall experience. By summarizing the user evaluations from the questionnaires,
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Hultman, Anna, and Mikaela Zarki. "Do you mind talking to a chatbot? : A quantitative study about how chatbots affect the digital customer experience within Swedish banks." Thesis, Linnéuniversitetet, Institutionen för marknadsföring (MF), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-104863.

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This bachelor's degree thesis aims to increase the understanding of how chatbots affect the digital customer experience within Swedish banks. Furthermore, this study examines how bank chatbot's technical quality affects the digital customer experience. In this thesis, the authors have chosen to use a deductive approach and a quantitative research strategy. Moreover, the authors used the Statistical Package for Social Sciences (SPSS) program to process the collected quantitative data from the questionnaires. The thesis empirical findings were analyzed and discussed in correlation to previous re
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Books on the topic "Chatbotar"

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Kohne, Andreas, Philipp Kleinmanns, Christian Rolf, and Moritz Beck. Chatbots. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-28849-5.

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Crowder, James. AI Chatbots. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-45509-4.

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Bruns, Beate, and Cäcilie Kowald. Praxisleitfaden Chatbots. Springer Fachmedien Wiesbaden, 2023. http://dx.doi.org/10.1007/978-3-658-39645-9.

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Dufaux, Marius O. Coaching-Chatbots. Springer Fachmedien Wiesbaden, 2024. http://dx.doi.org/10.1007/978-3-658-45722-8.

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Kaiser, Markus, Aline-Florence Buttkereit, and Johanna Hagenauer. Journalistische Praxis: Chatbots. Springer Fachmedien Wiesbaden, 2019. http://dx.doi.org/10.1007/978-3-658-25494-0.

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Khan, Rashid, and Anik Das. Build Better Chatbots. Apress, 2018. http://dx.doi.org/10.1007/978-1-4842-3111-1.

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Galitsky, Boris. Developing Enterprise Chatbots. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04299-8.

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Lömker, Malte, Ulrike Weber, and Johannes Moskaliuk. Chatbots im Coaching. Springer Fachmedien Wiesbaden, 2021. http://dx.doi.org/10.1007/978-3-658-32830-6.

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Prinz, Konstantin. The Smiling Chatbot. Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-40028-6.

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Raj, Sumit. Building Chatbots with Python. Apress, 2019. http://dx.doi.org/10.1007/978-1-4842-4096-0.

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Book chapters on the topic "Chatbotar"

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Assayed, Suha Khalil, Manar Alkhatib, and Khaled Shaalan. "A Systematic Review of Conversational AI Chatbots in Academic Advising." In BUiD Doctoral Research Conference 2023. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-56121-4_33.

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AbstractPurpose – This paper aims to review several studies published between 2018 to 2022 about advising chatbots in schools and universities as well as evaluating the state-of-the-art machine learning models that are deployed into these models.Methodology – This paper follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), it demonstrated the main phases of the systematic review, it starts with screening 128 articles and then including 11 articles for systematic review which focused on the current services of the advising chatbots in schools and universities,
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Pesonen, Joonas A. "‘Are You OK?’ Students’ Trust in a Chatbot Providing Support Opportunities." In Learning and Collaboration Technologies: Games and Virtual Environments for Learning. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77943-6_13.

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AbstractChatbots show promise as a novel way to provide support to students. However, a central issue with new technologies such as chatbots is whether students trust the technology. In the present study, we use a chatbot to proactively offer academic and non-academic support to students (N = 274) in a Finnish vocational education and training (VET) organization. Students responded to the chatbot with a very high response rate (86%), and almost one-fifth (19%) of the respondents disclosed a need for support. Survey with a subset of participants (N = 49) showed satisfactory trust (total trust s
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Kohne, Andreas, Philipp Kleinmanns, Christian Rolf, and Moritz Beck. "Einleitung." In Chatbots. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-28849-5_1.

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Kohne, Andreas, Philipp Kleinmanns, Christian Rolf, and Moritz Beck. "Grundlagen." In Chatbots. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-28849-5_2.

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Kohne, Andreas, Philipp Kleinmanns, Christian Rolf, and Moritz Beck. "Anwendungsgebiete." In Chatbots. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-28849-5_3.

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Kohne, Andreas, Philipp Kleinmanns, Christian Rolf, and Moritz Beck. "Technik." In Chatbots. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-28849-5_4.

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Kohne, Andreas, Philipp Kleinmanns, Christian Rolf, and Moritz Beck. "Conversation Design." In Chatbots. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-28849-5_5.

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Kohne, Andreas, Philipp Kleinmanns, Christian Rolf, and Moritz Beck. "Beispielhafter Projektablauf." In Chatbots. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-28849-5_6.

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Kohne, Andreas, Philipp Kleinmanns, Christian Rolf, and Moritz Beck. "Weitere wichtige Aspekte." In Chatbots. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-28849-5_7.

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Kohne, Andreas, Philipp Kleinmanns, Christian Rolf, and Moritz Beck. "Zusammenfassung." In Chatbots. Springer Fachmedien Wiesbaden, 2020. http://dx.doi.org/10.1007/978-3-658-28849-5_8.

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Conference papers on the topic "Chatbotar"

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Oleksenko, Roman, Valentyna Voronkova, Vitalina Nikitenko, Iryna Silina, and Roman Afonov. "CHATBOTS AS A KEY ENGINE OF ARTIFICIAL INTELLIGENCE: TRENDS AND PROSPECTS FOR DEVELOPMENT." In 11th SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS 2024. SGEM WORLD SCIENCE, 2024. https://doi.org/10.35603/sws.iscss.2024/s16/90.

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Chatbot research, a pertinent and crucial domain within artificial intelligence and information technology, aims to showcase chatbots as pivotal catalysts for advanced artificial intelligence. With the evolution of technology and the burgeoning volume of information, users increasingly seek efficient means of interaction for convenient access to information, thereby facilitating communication. Chatbots, being instrumental in this endeavor, not only serve as key drivers of artificial intelligence but also play a pivotal role in various sectors, particularly in education. The integration of chat
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Rathore, Sushmit Singh, Rohit Ghosh, Sayantam Giri, et al. "Integrating Intelligent Chatbots in Healthcare: AI Based Healthcare Chatbot." In 2024 2nd International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES). IEEE, 2024. https://doi.org/10.1109/scopes64467.2024.10990617.

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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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Becker, Linda Maria Antonia, Nazim Ali, Thomas Spelten, and Semih Severengiz. "Case Study of Improving Educational Chatbots with Customized Information Retrieval." In Eleventh International Conference on Higher Education Advances. Editorial Universitat Politècnica de València (edUPV), 2025. https://doi.org/10.4995/head25.2025.20027.

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Generic chatbots can function as virtual tutors, assessing responses and providing feedback. However, trained on generalized data limits them to act as subject-specialist tutors, resulting in weak or inaccurate responses and feedback, particularly for complex queries. We aimed to develop and evaluate whether a specialised information retrieval system can enhance a generic chatbot’s capabilities. The customized chatbot was integrated into a teaching session and evaluated by the students. Our approach enabled the chatbot to access relevant information and provide tailored feedback, resulting in
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Cachola, Krystal, and Kim-Phuong L. Vu. "Investigating the Use of Chatbots as an Educational Tool." In 2024 AHFE International Conference on Human Factors in Design, Engineering, and Computing (AHFE 2024 Hawaii Edition). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005752.

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With the rise of online asynchronous learning and low levels of instructor presence, students have become self-regulated learners who must monitor their performance and adapt their learning strategies as necessary. Previous studies have shown that chatbots are a promising alternative to traditional study tools such as flashcards. This study examined the effects of a chatbot’s embodiment (Humanoid, Animated) and conversational style (Formal, Informal) on learning performance and behavioral engagement. Participants were asked to watch a lecture video and interact with a chatbot to review the mat
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Hasan, F., L. Kaveesha, S. Sankalpa, A. Jayasinghe, and S. Sathsarana. "A Study of smart enhancements in specialized AI applications comparing initial versions to upgraded models within sustainable urban planning integration." In Spatial Dynamics: Envisioning tomorrow’s Design through Advanced Practices. Faculty of Architecture Research Unit, 2024. https://doi.org/10.31705/faru.2024.9.

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This study examines the development of specialist urban planning chatbots, with a specific focus on the development process from Chatbot 1.0 to Chatbot 2.0. The paper offers a comprehensive examination of the chatbot concept and its use in urban planning. The study highlights the need of involving citizens, sharing information, and making decisions based on data. The report provides an analysis of Chatbot 1.0, including its development process, inputs from stakeholders, significant restrictions, and features influenced by the ChatGPT API. The feedback received from stakeholders indicates a res
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"How to Program a Chatbot – An Introductory Project and Student Perceptions." In InSITE 2019: Informing Science + IT Education Conferences: Jerusalem. Informing Science Institute, 2019. http://dx.doi.org/10.28945/4283.

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[This Proceedings paper was revised and published in the 2019 issue of the journal Issues in Informing Science and Information Technology, Volume 16] Aim/Purpose: In this article, we introduced a project on teaching chatbot programming in an information systems class. Background: One of the most fascinating developments in computer user interfaces in recent years is the rise of “chatbots”. Yet extent information system (IS) curriculum lacks teaching resources on chatbots programming. To better prepare students for this new technological development and to enhance the IS curriculum, we introduc
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Mai, Vanessa, Johanna Nickel, Anna Gähl, Rebecca Rutschmann, and Anja Richert. "AI-based Chatbot Coaching for Interdisciplinary Project Teams: The Acceptance of AI-based in Comparison to Rule-based Chatbot Coaching." In 12th International Conference on Human Interaction and Emerging Technologies (IHIET 2024). AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1005483.

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Project-based work is integral in corporate and academic settings, where coaching plays a crucial role in enhancing team performance and project success. To streamline this process and improve scalability, we developed a coaching chatbot at TH Köln/University of Applied Sciences to assist interdisciplinary teams. Utilizing a systemic coaching approach, the chatbot prompts self-reflection through solution-focused questions. We collaboratively created it with student facilitators and lecturers and tested it during a University-wide Interdisciplinary Project Week in November 2023. The pilot study
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You, Hsiao-Chen, and Han-Yu Weng. "Effects of nonverbal communication on Chatbot's perceived personality and user satisfaction." In 9th International Conference on Kansei Engineering and Emotion Research (KEER2022). Kansei Engineering and Emotion Research (KEER), 2022. http://dx.doi.org/10.5821/conference-9788419184849.26.

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As artificial intelligence develops rapidly, companies have created exclusive chatbots to facilitate conversational commerce and establish an emotional connection between their brands and their customers. Therefore, shaping the chatbot personality to match the brand image is often the focus of chatbot design. Two studies were conducted to investigate how nonverbal communication elements (avatar, sticker, emoji) affect users' judgment of chatbot personality and explore the effect of chatbot personality on user satisfaction. In Study 1, Kansei engineering was adopted to conduct an online survey
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Nishani, S., and R. Mary Sophia Chitra. "A Study on the Artificial Intelligence Chatbots Preferred by College Students." In International Conference on Artificial Intelligence in Commerce and Management. Shanlax Publications, 2025. https://doi.org/10.34293/icaicm-25.ch003.

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This study aims to explore the preferences and satisfaction levels of college students in Madurai city regarding artificial intelligence (AI) chatbots. With the rapid integration of AI technology into various sectors, chatbots have emerged as useful tools in education, communication, and problem-solving. This study is to identify the demographic factors influencing students' usage of AI chatbots, to determine the most preferred AI chatbot among college students in Madurai, and to evaluate user satisfaction levels with the AI chatbot experience. The study will employ a survey methodology, colle
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Reports on the topic "Chatbotar"

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Hooker, Reece. Next-generation chatbots explained. Monash University, 2023. http://dx.doi.org/10.54377/2249-3568.

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Garcia Brustenga, Guillem, Marc Fuertes Alpiste, and Núria Molas Castells. Briefing Paper: Chatbots in Education. Universitat Oberta de Catalunya (UOC), 2018. http://dx.doi.org/10.7238/elc.chatbots.2018.

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Melnyk, Yuriy, and Iryna Pypenko. Artificial intelligence as a factor revolutionizing higher education. KRPOCH, 2024. https://doi.org/10.26697/krpoch.melnyk.pypenko.report.pppmsf.2024.

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The role of artificial intelligence-based chatbots in higher education practice was considered. The use of chatbots among higher education stakeholders (students and faculty) was studied. A model of stakeholder behaviour was developed. This model describes two ways of solving problems: with and without the use of artificial intelligence. Trends in the use of chatbots in higher education were identified: students were 26.9% more likely than faculty to use artificial intelligence-based chatbots to prepare for classes or complete assignments at their college/university; almost all students (68.0%
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Cao, Larry. IV. Chatbot, Knowledge Graphs, and AI Infrastructure. CFA Institute Research Foundation, 2023. http://dx.doi.org/10.56227/23.1.10.

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Expert contributors discuss AI and big data applications that are being developed for financial services, such as AI-powered intelligent customer service systems; “factories” for data processing, AI, simulation, and visualization; and symbolic AI.
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Singh, Naresh. From chits to chatbots: cheating in India's education system. Edited by Chandan Nandy and Suzannah Lyons. Monash University, 2024. http://dx.doi.org/10.54377/d437-0e70.

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Shabelnyk, Tetiana V., Serhii V. Krivenko, Nataliia Yu Rotanova, Oksana F. Diachenko, Iryna B. Tymofieieva, and Arnold E. Kiv. Integration of chatbots into the system of professional training of Masters. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4439.

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The article presents and describes innovative technologies of training in the professional training of Masters. For high-quality training of students of technical specialties, it becomes necessary to rethink the purpose, results of studying and means of teaching professional disciplines in modern educational conditions. The experience of implementing the chatbot tool in teaching the discipline “Mathematical modeling of socio-economic systems” in the educational and professional program 124 System Analysis is described. The characteristics of the generalized structure of the chatbot information
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Walsh, Toby. Chatbot revolution risks becoming a race of the reckless. Edited by Reece Hooker. Monash University, 2023. http://dx.doi.org/10.54377/3ed9-8eea.

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Priadko, Andrii O., Kateryna P. Osadcha, Vladyslav S. Kruhlyk, and Volodymyr A. Rakovych. Development of a chatbot for informing students of the schedule. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3744.

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The article describes the process of developing a chatbot to provide students with information about schedules using the Telegram mobile messenger. During the research, the following tasks have been performed: the analysis of notification systems for their use in the educational process, identification of problems of notifying students about the schedule (dynamic environment, traditional presentation of information, lack of round-the-clock access), substantiation of the choice of mobile technologies and Telegram messenger, determination of the requirements to the software, generalization of th
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Ajzenman, Nicolás, Gregory Elacqua, Analia Jaimovich, and Graciela Pérez-Nuñez. Humans versus Chatbots: Scaling-up behavioral interventions to reduce teacher shortages. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0005059.

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Empirical results in economics often stem from success in controlled experimental settings, but often fail when scaled up. This study presents a behavioral intervention and a scalable equivalent aimed at reducing teacher shortages by motivating high school students to pursue an education degree. The intervention was delivered through WhatsApp chats by trained human promoters (humans arm) and rule-based Chatbots programmed to closely replicate the humans program (bots arm). Results show that the humans arm successfully increased high-school students demand for and enrollment in education majors
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Lin, Shih-Jung, Yi-No Kang, and Chieh-feng Chen. Perioperative Application of Chatbot: A Systematic Review and Meta-Analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2023. http://dx.doi.org/10.37766/inplasy2023.7.0080.

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