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@article{190502,
        author = {Dr. B. Swathi},
        title = {A Study on “Emotional Intelligence in AI for Employee Engagement”},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {3697-3700},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=190502},
        abstract = {Employee engagement has emerged as a critical determinant of productivity, retention, innovation, and organizational performance. With the increasing digitalization of workplaces, Artificial Intelligence (AI) is being widely deployed in employee wellness analytics, digital HR systems, performance feedback platforms, and engagement monitoring tools. Recently, there has been growing interest in embedding Emotional Intelligence (EI) capabilities into AI systems to improve empathy, personalization, and relational effectiveness in employee interactions. This paper examines the conceptual foundations and applications of Emotional Intelligence in AI for employee engagement using secondary literature. The article reviews theories of Emotional Intelligence, affective computing, and human AI interaction to explore how emotion-aware AI tools support engagement, motivation, well-being, communication, and leadership practices. The study highlights opportunities such as improved employee listening systems, personalized feedback, early identification of burnout signals, and emotion-sensitive HR decision-making. At the same time, it identifies risks including emotional surveillance, bias, depersonalization, trust concerns, and ethical dilemmas. The findings indicate that Emotional Intelligence in AI can complement not replace human empathy, and must be implemented within responsible, transparent, and human-centric HR frameworks. The paper concludes by emphasizing the managerial, ethical, and research implications of integrating EI-enabled AI into employee engagement ecosystems.},
        keywords = {Emotional Intelligence, Artificial Intelligence, Employee Engagement, HR Analytics, Digital Workplace, Organizational Behaviour, Employee Well-being},
        month = {January},
        }