M[eye]cro

Abstract

We present M[eye]cro an interaction technique to select on-screen objects and navigate menus through the synergistic use of eye-gaze and thumb-to-finger microgestures. Thumb-to-finger microgestures are gestures performed with the thumb of a hand onto the fingers of the same hand. The active body of research on microgestures highlights expected properties including speed, availability and eye-free interaction. Such properties make microgestures a good candidate for multitasking. However, while praised, the state-of-the-art hypothesis stating that microgestures could be beneficial for multitasking has never been quantitatively verified. We study and compare M[eye]cro to a baseline, i.e., a technique based on physical controllers, in a cockpit-based context. This context allows us to design a controlled experiment involving multitasking with low- and high-priority tasks in parallel. Our results show that performances of the two techniques are similar when participants only perform the selection task. However, M[eye]cro tends to yield better time performance when participants additionally need to treat high-priority tasks in parallel. Results also show that M[eye]cro induces less fatigue and is mostly preferred.

Designing Upper-Body Gesture Interaction with and for People with Spinal Muscular Atrophy in VR

“…to improve gesture recognition accuracy [4,37,46,54]. However, these approaches primarily target input methods designed for able-bodied individuals, potentially leading to technological incompatibility.…”

3D Selection in Mixed Reality: Designing a Two-Phase Technique To Reduce Fatigue

“…HARDWARE -With a focus on interaction rather than recognition, we built a simple glove to recognize thumb to finger and stretch microgestures, inspired from Wambecke et al [52] The glove contains fourteen sensors, four flex sensors and ten pressure sensors (see Fig. 2 for the layout of the sensors).…”

“…In this paper, we explore two modalities to reduce fatigue: eyegaze and microgestures, i.e fast and subtle finger movements [6,7]. The combination of gaze and microgestures has already been implemented for 2D selection of sparse targets displayed on a cockpit screen, and induced less fatigue than the use of cockpit physical controllers [52]. This paper examines whether this combination can be used for 3D selection in mixed reality.…”

Studying the Visual Representation of Microgestures

“…The domain of microgesture interaction is very dynamic with a focus made on elaborating relevant microgesture sets through elicitation studies [13,40,45] and evaluating the end-users' performances [9,34,55,66]. Another area of research has been the design and implementation of systems and devices that sense and recognize such microgestures [30,51,68].…”