Andrew Deeming

Papers

Total Citations

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About

Andrew Deeming is a researcher in human-robot interaction, with a particular focus on affective computing and emotionally intelligent robotic systems. His work explores how robots can perceive and respond to human emotions, aiming to make consumer-level robotics more natural and engaging. Deeming’s most influential contribution is his 2008 paper, “Affective Human-Robotic Interaction,” which has garnered 28 citations and serves as a foundational reference for integrating emotional awareness into robotic design. In his earlier 2007 study, “Investigating emotional interaction with a robotic dog,” he developed and evaluated a consumer-level robotic dog capable of recognizing a user’s emotional state through acoustic cues in their voice. This work demonstrated a practical pathway toward more responsive and intuitive entertainment robots, moving beyond simple programmed behaviors to genuine affective interaction. Though his citation counts are modest, Deeming’s research is notable for its early, applied focus on emotion recognition in accessible robotic platforms, contributing to the broader goal of creating robots that can engage users on a deeper, more empathetic level.