Squiggle: Multimodal Lasso Selection in the Real World

DOI

Smart glasses devices are emerging with egocentric cameras and gaze tracking, raising the possibility of new interaction techniques that enable users to reference real-world objects they wish to digitally interact with. However, many of these devices lack a display, making precise object referencing difficult due to the lack of continuous visual feedback. We introduce Squiggle, an interaction technique that enables users to reference real-world objects without continuous feedback by drawing an invisible loop or "lasso" with an imagined ray-cast pointer. Through a virtual reality data collection, we observed that this gesture can elicit useful gaze behavior in addition to providing drawing input itself. Based on these results we implemented and evaluated a real-world prototype of Squiggle, demonstrating that it can improve accuracy of object referencing over Gaze + Pinch alone, particularly for selecting compound objects and groups.