MAGIC: A Method for Analyzing the Grammar of Incomplete Cues

Augmented reality (AR) and virtual reality (VR) applications commonly employ interaction cues that denote to the user what interaction to take. In this paper, we present a Method for Analyzing the Grammar of Incomplete Cues (MAGIC), which provides an approach for evaluating the design of interaction cues based on the completeness or incompleteness of the functional grammar that they convey through perceptual stimuli. To demonstrate the importance of complete cues, we also present a user study investigating the effects of complete and incomplete cues on which interactions participants choose. The results indicate that incomplete cues do not afford sufficient information, so users make assumptions about the intended interactions. Furthermore, the results indicate that users are more likely to choose intended interactions when the cues are complete. Hence, we present MAGIC as a potentially useful tool for helping interaction designers avoid usability issues with incomplete interaction cues.