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This paper identifies stylistic differences in instruction-giving observed ina corpus of human-robot dialogue. Differences in verbosity and structure (i.e.,single-intent vs. multi-intent instructions) arose naturally withoutrestrictions or prior guidance on how users should speak with the robot.Different styles were found to produce different rates of miscommunication, andcorrelations were found between style differences and individual uservariation, trust, and interaction experience with the robot. Understandingpotential consequences and factors that influence style can inform design ofdialogue systems that are robust to natural variation from human users.

Consequences and Factors of Stylistic Differences in Human-Robot Dialogue