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

TL;DR

This study investigates how increasing gesture production during elicitation influences gesture quality and variety, revealing that users refine promising gestures and that production duration varies among participants.

Contribution

It provides new insights into the effects of increased production on gesture quality, variety, and the refinement process in gesture elicitation studies.

Findings

Users refine promising gestures over time.

Time to find promising gestures varies by participant.

Refinements reveal key features for semantic meaning.

Abstract

Previous gesture elicitation studies have found that user proposals are influenced by legacy bias which may inhibit users from proposing gestures that are most appropriate for an interaction. Increasing production during elicitation studies has shown promise moving users beyond legacy gestures. However, variety decreases as more symbols are produced. While several studies have used increased production since its introduction, little research has focused on understanding the effect on the proposed gesture quality, on why variety decreases, and on whether increased production should be limited. In this paper, we present a gesture elicitation study aimed at understanding the impact of increased production. We show that users refine the most promising gestures and that how long it takes to find promising gestures varies by participant. We also 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.