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@article{192705,
        author = {Roji P Babu},
        title = {Rethinking Human–Machine Interaction through Affective Computing and Algorithmic Interpretation},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {2104-2109},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192705},
        abstract = {The article examines the emergence of Emotion AI and sentiment analytics as transformative forces in contemporary human–machine interaction. Moving beyond traditional computational models grounded solely in logic and task execution, affective computing—pioneered by Rosalind Picard—introduces systems capable of recognising, interpreting, and simulating human emotions. Drawing upon posthumanist theory, particularly the works of Donna Haraway and N. Katherine Hayles, the study situates Emotion AI within broader debates about subjectivity, embodiment, and the digitisation of affect. It analyses the core mechanisms of emotion recognition, including facial analysis, speech detection, textual sentiment modelling, and biometric monitoring, while critically interrogating their epistemological limits. The article further explores how emotionally responsive systems reconfigure relational agency by simulating empathy and subtly shaping behaviour through algorithmic mediation. Ethical concerns—particularly those articulated by Shoshana Zuboff—regarding surveillance, bias, and emotional commodification are examined in depth. Ultimately, the paper argues that Emotion AI not only enhances technological responsiveness but also restructures the emotional architecture of digital life, compelling a reconsideration of authenticity, empathy, and autonomy in an era of algorithmic governance.},
        keywords = {Emotion AI, Affective Computing, Algorithmic Governance, Digital Empathy.},
        month = {February},
        }