Boran Sahindal

Papers

Total Citations

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About

Boran Sahindal is a researcher at the forefront of human-robot interaction (HRI), specializing in how robots can understand and respond to human social cues during collaborative tasks. His work focuses on bridging the communication gap between humans and robots, particularly when interactions break down. In his highly cited 2020 paper, "Behavioural Responses to Robot Conversational Failures" (38 citations), Sahindal systematically analyzed how people react—both verbally and non-verbally—when a robot makes a conversational mistake. This foundational study demonstrated that robots can be trained to detect user frustration, confusion, or surprise by reading social signals like gaze, posture, and tone of voice. His follow-up work, "Detecting Conversational Failures in Task-Oriented Human-Robot Interactions," further refined these detection methods, aiming to make domestic robots more intuitive and resilient. By showing that robots can learn from human behaviour to self-correct, Sahindal’s research is paving the way for more natural, trust-based collaboration between people and machines in everyday environments.