Michael Scriney
Papers
1
Total Citations
6
H-Index
1
About
Dr. Michael Scriney is a leading researcher at the intersection of artificial intelligence, social robotics, and ethical healthcare technology. His work focuses on endowing machines with social intelligence—enabling robots to perceive, interpret, and respond to human emotions in real time. His most cited paper, “CASIE – Computing affect and social intelligence for healthcare in an ethical and trustworthy manner” (2021, 6 citations), lays the groundwork for developing multilingual, multimodal emotion recognition systems that allow robots to make contextually appropriate, cooperative decisions in sensitive care environments. This research addresses a critical challenge: how to build emotionally aware machines that remain transparent, fair, and trustworthy. Dr. Scriney’s contributions are vital for the future of assistive robotics, particularly in elderly care and mental health support, where understanding a patient’s affective state can dramatically improve outcomes. By integrating ethical frameworks directly into AI decision-making, he is helping to shape a new generation of socially intelligent systems that are both technically robust and human-centred. His work continues to influence how researchers and engineers approach the design of empathetic, responsible autonomous agents.
Research Focus
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Top Papers
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