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Judit Dombi

Biographic Data

ID1100896
NAMEJudit Dombi
GIVEN NAMESJudit
FAMILY NAMEDombi
SIGNATUREDOMBI J
AFFILIATIONSUniversity of Pecs
ORCID0000-0001-9278-9093
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS11
AUTHOR COUNT5
EDITOR COUNT0
FIRST PUBLICATION YEAR2016
LATEST PUBLICATION YEAR2025
H-INDEX2
  • Seeking common ground with a conversational chatbot

    Open Access•Judit Dombi, Tetyana Sydorenko et al.•ARTICLE•Intercultural Pragmatics•2025•References: 13

    Conversational AI is advancing rapidly, enabling significant improvements in chatbots’ conversational abilities. Currently, available conversational chatbots (e.g., Snapchat’s MyAI) appear to generate fairly realistic, often human-like output. As collaboration between humans and machines becomes more common, and AI systems are increasingly viewed as more than just tools, understanding human communication in such contexts is crucial. Despite the v…

  • Intent‐Based Versus GPT ‐Based Conversational Agents: Benefits and Challenges for Practicing and Assessing Oral Interaction

    Open Access•Veronika Timpe-Laughlin, Rahul R Divekar et al.•ARTICLE•TESOL Quarterly•2025•Cited by: 1•References: 49

    Interactional competence (IC) is crucial for L2 learners to communicate effectively across diverse contexts (Roever [2022], Teaching and testing second language pragmatics and interaction: A practical guide). However, providing opportunities to practice interactive oral skills is time and resource intensive, and assessing IC is challenging due to the need for diverse contexts and interlocutors to capture the dynamic nature of communication. Spoke…

  • Common ground, cooperation, and recipient design in human-computer interactions

    Open Access•Judit Dombi, Tetyana Sydorenko et al.•ARTICLE•Journal of Pragmatics•2022•Cited by: 5•References: 49

  • Exploring L2 learners’ request behavior in a multi-turn conversation with a fully automated agent

    Veronika Timpe-Laughlin, Judit Dombi•ARTICLE•Intercultural Pragmatics•2020•Cited by: 4•References: 18

    New technology such as fully-automated interactive spoken dialogue systems (SDS), which allow learners to engage in multi-turn conversations with an automated agent, could provide a means for second and foreign language learners (L2) to practice form-function-context mappings in oral interaction. In this study, we investigated how learners interacted with an automated agent as they engaged in an SDS task that required them to make two requests. W…

  • A study on advanced EFL learners’ intercultural encounters

    Open Access•Judit Dombi•ARTICLE•Journal of Intercultural…•2016•Cited by: 1•References: 8

    There is an increasing conviction that foreign language teaching should focus not only on making students achieve native-like proficiency but on enabling them to function as competent communicators in situations involving speakers of diverse linguistic and cultural backgrounds. Real-life experiences are of utmost importance in forming language learners’ intercultural awareness and competences. This study explores advanced Hungarian EFL learners’ …

  • Common ground, cooperation, and recipient design in human-computer interactions

    Open Access•Judit Dombi, Tetyana Sydorenko et al.•ARTICLE•Journal of Pragmatics•2022•Cited by: 5•References: 49

  • Exploring L2 learners’ request behavior in a multi-turn conversation with a fully automated agent

    Veronika Timpe-Laughlin, Judit Dombi•ARTICLE•Intercultural Pragmatics•2020•Cited by: 4•References: 18

    New technology such as fully-automated interactive spoken dialogue systems (SDS), which allow learners to engage in multi-turn conversations with an automated agent, could provide a means for second and foreign language learners (L2) to practice form-function-context mappings in oral interaction. In this study, we investigated how learners interacted with an automated agent as they engaged in an SDS task that required them to make two requests. W…

  • Intent‐Based Versus GPT ‐Based Conversational Agents: Benefits and Challenges for Practicing and Assessing Oral Interaction

    Open Access•Veronika Timpe-Laughlin, Rahul R Divekar et al.•ARTICLE•TESOL Quarterly•2025•Cited by: 1•References: 49

    Interactional competence (IC) is crucial for L2 learners to communicate effectively across diverse contexts (Roever [2022], Teaching and testing second language pragmatics and interaction: A practical guide). However, providing opportunities to practice interactive oral skills is time and resource intensive, and assessing IC is challenging due to the need for diverse contexts and interlocutors to capture the dynamic nature of communication. Spoke…

  • A study on advanced EFL learners’ intercultural encounters

    Open Access•Judit Dombi•ARTICLE•Journal of Intercultural…•2016•Cited by: 1•References: 8

    There is an increasing conviction that foreign language teaching should focus not only on making students achieve native-like proficiency but on enabling them to function as competent communicators in situations involving speakers of diverse linguistic and cultural backgrounds. Real-life experiences are of utmost importance in forming language learners’ intercultural awareness and competences. This study explores advanced Hungarian EFL learners’ …

  • A study on advanced EFL learners’ intercultural encounters

    Open Access•Judit Dombi•ARTICLE•Journal of Intercultural…•2016•Cited by: 1•References: 8

    There is an increasing conviction that foreign language teaching should focus not only on making students achieve native-like proficiency but on enabling them to function as competent communicators in situations involving speakers of diverse linguistic and cultural backgrounds. Real-life experiences are of utmost importance in forming language learners’ intercultural awareness and competences. This study explores advanced Hungarian EFL learners’ …

  • Exploring L2 learners’ request behavior in a multi-turn conversation with a fully automated agent

    Veronika Timpe-Laughlin, Judit Dombi•ARTICLE•Intercultural Pragmatics•2020•Cited by: 4•References: 18

    New technology such as fully-automated interactive spoken dialogue systems (SDS), which allow learners to engage in multi-turn conversations with an automated agent, could provide a means for second and foreign language learners (L2) to practice form-function-context mappings in oral interaction. In this study, we investigated how learners interacted with an automated agent as they engaged in an SDS task that required them to make two requests. W…

  • Common ground, cooperation, and recipient design in human-computer interactions

    Open Access•Judit Dombi, Tetyana Sydorenko et al.•ARTICLE•Journal of Pragmatics•2022•Cited by: 5•References: 49

  • Seeking common ground with a conversational chatbot

    Open Access•Judit Dombi, Tetyana Sydorenko et al.•ARTICLE•Intercultural Pragmatics•2025•References: 13

    Conversational AI is advancing rapidly, enabling significant improvements in chatbots’ conversational abilities. Currently, available conversational chatbots (e.g., Snapchat’s MyAI) appear to generate fairly realistic, often human-like output. As collaboration between humans and machines becomes more common, and AI systems are increasingly viewed as more than just tools, understanding human communication in such contexts is crucial. Despite the v…

  • Intent‐Based Versus GPT ‐Based Conversational Agents: Benefits and Challenges for Practicing and Assessing Oral Interaction

    Open Access•Veronika Timpe-Laughlin, Rahul R Divekar et al.•ARTICLE•TESOL Quarterly•2025•Cited by: 1•References: 49

    Interactional competence (IC) is crucial for L2 learners to communicate effectively across diverse contexts (Roever [2022], Teaching and testing second language pragmatics and interaction: A practical guide). However, providing opportunities to practice interactive oral skills is time and resource intensive, and assessing IC is challenging due to the need for diverse contexts and interlocutors to capture the dynamic nature of communication. Spoke…

Psychology (5 works) · Linguistics (4 works) · Speech and dialogue systems (4 works) · Computer Science (3 works) · Language, Discourse, Communication Strategies (3 works) · Artificial Intelligence (2 works) · Common ground (2 works) · Communication (2 works) · Communication (2 works) · Function (biology (2 works)

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