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Previous gesture elicitation studies have found that user proposals areinfluenced by legacy bias which may inhibit users from proposing gestures thatare most appropriate for an interaction. Increasing production duringelicitation studies has shown promise moving users beyond legacy gestures.However, variety decreases as more symbols are produced. While several studieshave used increased production since its introduction, little research hasfocused on understanding the effect on the proposed gesture quality, on whyvariety decreases, and on whether increased production should be limited. Inthis paper, we present a gesture elicitation study aimed at understanding theimpact of increased production. We show that users refine the most promisinggestures and that how long it takes to find promising gestures varies byparticipant. We also show that gestural refinements provide insight into thegestural features that matter for users to assign semantic meaning and discussimplications for training gesture classifiers.

Iterative Design of Gestures During Elicitation: Understanding the Role of Increased Production