Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Deshmukh, Priyanka; Karmore, Bhavana; Ingole, Mahendra; Upreti, Kamal Title A name given to the resource Designing Emotionally Adaptive Chatbots for Diverse Users: A User-Centered Human-AI Interface Framework Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Turkish Journal of Engineering;Volume;10;Issue;1;pp.1-12 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.31127/tuje.1715271" target="_blank" rel="noreferrer noopener">https://doi.org/10.31127/tuje.1715271</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105026559968?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105026559968?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Deshmukh P., G.H.Raisoni University, Department of Computer Science Science &amp; Technology, Maharashtra, Amravati, India; Karmore B., G H Raisoni University, Department of Computer Application, Maharashtra, Amravati, India; Ingole M., Chhatrapati Shivaji Maharaj University, Department Commerce and Management, Maharashtra, Panvel, India; Upreti K., Department of Computer Applications, CHRIST University, Delhi NCR, Ghaziabad, India Description An account of the resource Recent advancements in conversational AI have improved task efficiency but often neglect the emotional and cognitive diversity of users. This research introduces a novel, user-centered framework for emotionally adaptive chatbots that integrates ML-based emotion recognition with personalized responses that are ethically filtered meaning they are designed to respect user privacy, fairness, and transparency principles. The Berlin Emotional Speech Database (EmoDB) was used to train and evaluate three machine learning models using MFCC features. Among them, the XGBoost model achieved the highest classification accuracy of 77.6%, outperforming Random Forest (75.0%) and SVM (68.2%). To evaluate user experience, a dataset of 385 participants was generated using a 15-item Likert-scale questionnaire adapted from the UTAUT model and extended with trust and emotional alignment measures. Statistical tests, including a t-test (p = 0.711) between neurodiverse and non-neurodiverse users and an ANOVA (p = 0.337) across domains, confirmed the consistency and inclusivity of perceived satisfaction. Visual analytics, including correlation heatmaps and radar charts, revealed that users with predicted emotions such as happiness and neutral reported the highest satisfaction scores (mean = 4.49, SD = 0.29 and mean = 4.26, SD = 0.31, respectively). A seven-layered modular architecture was proposed, supporting real-time emotional adaptivity, personalization, and ethical compliance. The framework is integration-ready with NLP engines like GPT and Dialogflow, offering a scalable solution for affective AI deployment across healthcare, education, and public service domains. Author(s) 2026. This work is distributed under https://creativecommons.org/licenses/by-sa/4.0/. Subject The topic of the resource Affective Computing; Emotion Recognition; Human-AI Interaction; Machine Learning; User-Centered Design Publisher An entity responsible for making the resource available Murat Yakar Relation A related resource ISSN: 25871366; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access Format The file format, physical medium, or dimensions of the resource online