A generative AI model for modelling and creating an emotion-aware database: design, and analytics

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dc.contributor.authorCuzzocrea, Alfredo
dc.contributor.authorPilato, Giovanni
dc.contributor.authorGarcía Bringas, Pablo
dc.date.accessioned2025-09-26T10:23:35Z
dc.date.available2025-09-26T10:23:35Z
dc.date.issued2025-08-20
dc.date.updated2025-09-26T10:23:35Z
dc.description.abstractIn this study, we illustrate an ongoing work regarding the building of an ad hoc textual dataset for dialogues between a user and an agent of a customer care center. The user is required to express a given emotion and to use a specific level of the Common European Framework of Reference for Languages (CEFR). Once the criteria had been defined, we asked ChatGPT 3.5 to generate dialogues. We analyzed them to ensure an acceptable level of quality for the dataset. Furthermore, we measured the language complexity used both by the user and the agent through different readability measures. Moreover, we extracted from each turn of each dialogue the attitude that ChatGPT exhibited for each dialogue turn; the interaction patterns were then analyzed with algorithm Sequential Pattern Mining (SPM) to extract typical interaction mechanisms occurring in specific emotional contexts. The generated dataset of dialogues, enriched with the readability measures and the extracted patterns, can be exploited as a system that facilitates the interaction between humans and artificial agents in specific contexts and it can constitute the basis of a reinforcement learning system for improving the effectiveness of the dialogues.en
dc.description.sponsorshipThis work was funded by the Next Generation EU - Italian NRRP, Mission 4, Component 2, Investment 1.5 (Directorial Decree n. 2021/3277) - project Tech4You n. ECS0000009en
dc.identifier.citationCuzzocrea, A., Pilato, G., & Bringas, P. G. (2025). A generative AI model for modelling and creating an emotion-aware database: design, and analytics. Neurocomputing, 653. https://doi.org/10.1016/J.NEUCOM.2025.131232
dc.identifier.doi10.1016/J.NEUCOM.2025.131232
dc.identifier.eissn1872-8286
dc.identifier.issn0925-2312
dc.identifier.urihttps://hdl.handle.net/20.500.14454/3756
dc.language.isoeng
dc.publisherElsevier B.V.
dc.rights© 2025 The Author(s)
dc.subject.otherEmotion recognition
dc.subject.otherHuman-computer interaction
dc.subject.otherIntelligent systems
dc.subject.otherLanguage complexity
dc.subject.otherSequential pattern mining
dc.titleA generative AI model for modelling and creating an emotion-aware database: design, and analyticsen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.titleNeurocomputing
oaire.citation.volume653
oaire.licenseConditionhttps://creativecommons.org/licenses/by-nc-nd/4.0/
oaire.versionVoR
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