Yigiterkut Canpolat
Papers
1
Total Citations
2
H-Index
1
About
Yigiterkut Canpolat is a researcher focused on human-machine interaction, automation, and safety-critical system design. His work explores the psychological and technical dimensions of how humans perceive and trust automated systems, particularly in cooperative settings. Canpolat’s major contribution lies in analyzing the “uncanny and unsafe valley” of assistance and automation—a concept extending Masahiro Mori’s original uncanny valley to describe how mismatched human expectations of machine capabilities can lead to safety risks. His 2017 paper, “Das (unheimliche und) unsichere Tal der Assistenz und Automation – Beschreibung und Absicherungsmöglichkeiten,” provides a framework for identifying and mitigating these risks, emphasizing the need for transparent system behavior and user-centered design. Though his citation count is modest, his work is foundational for researchers in human-robot interaction and automation safety, offering practical strategies for designing systems that align with human mental models. Canpolat’s insights are particularly relevant for autonomous vehicles, collaborative robots, and industrial automation, where trust calibration is critical. His research bridges cognitive psychology and engineering, making him a notable voice in the ongoing effort to create safer, more intuitive human-automation partnerships.
Research Focus
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Top Papers
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