Bryan Ccasane

Pontificia Universidad Católica del Perú

Papers

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About

Bryan Ccasane is a researcher in human-robot interaction, focusing on how subtle linguistic strategies can shape human perceptions and behaviors. His most cited work, "Effects of Using Indirect Language by a Robot to Change Human Attitudes" (2017, 19 citations), demonstrates that indirect language—a persuasive tool in human communication—can also effectively influence attitudes when used by robots. This contribution bridges social psychology and robotics, offering insights into designing more persuasive and socially adept machines. Ccasane’s research explores the nuanced interplay between robot communication styles and human response, with implications for assistive technologies, education, and human-robot collaboration. By showing that robots can leverage indirectness to subtly guide user attitudes, his work highlights the potential for more natural and effective human-robot interactions. This line of inquiry positions Ccasane at the forefront of understanding how robots can communicate with greater social intelligence, making his findings valuable for both roboticists and psychologists interested in the dynamics of human-machine relationships.