  The design of gestural interfaces through gesture elicitation studies is
influenced by legacy bias, wherein users will draw from touch and desktop
interactions when specifying gestures for novel interactions, such as full-body
and free-space applications. This may inhibit users from developing gestures
that are more appropriate and less fatiguing for the interaction. Increasing
production during elicitation studies has shown promising results in moving
users beyond legacy biased gestures. However, when increasing production, users
begin to iterate on their gestures. In this paper, we present a gesture
elicitation methodology aimed at understanding design iteration in studies that
use increased production. We show that gestural refinements provide insight
into the gestural features that matter for users to assign semantic meaning and
discuss implications for training gesture classifiers. We also discuss a
potential relationship between refined features and fatigue, showing that
refinements may map to less fatiguing gestures.
