Arturo Cruz Maya

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About

Arturo Cruz Maya is a researcher whose work sits at the intersection of human-robot interaction, social robotics, and autonomous navigation. His research focuses on understanding how robots can communicate and behave in socially appropriate ways that foster genuine trust and cooperation between humans and machines. His most notable contribution, "Investigating the Effects of Social Interactive Behaviours of a Robot on People's Trust During a Navigation Task" (2019), has garnered 22 citations and represents a significant empirical examination of how a robot's social cues and behaviors influence human trust in real-world navigation scenarios — a question with profound implications for deploying robots in public and domestic spaces. Complementing this, his earlier work on dialogue-based navigation explores how robots can adapt their communication style based on inferred user intentions and politeness conventions, pushing toward more natural and context-sensitive human-robot exchanges. Cruz Maya's research addresses a critical challenge in the field: ensuring that robots are not merely functionally capable but socially intelligent enough to be accepted by the people who interact with them. His contributions offer valuable groundwork for researchers and developers working to build robots that can navigate human environments with both competence and social grace.