  This paper identifies stylistic differences in instruction-giving observed in
a corpus of human-robot dialogue. Differences in verbosity and structure (i.e.,
single-intent vs. multi-intent instructions) arose naturally without
restrictions or prior guidance on how users should speak with the robot.
Different styles were found to produce different rates of miscommunication, and
correlations were found between style differences and individual user
variation, trust, and interaction experience with the robot. Understanding
potential consequences and factors that influence style can inform design of
dialogue systems that are robust to natural variation from human users.
