With the rapid development of microgesture research, numerous recognition devices with different sensors (e.g. force-sensitive, IMU), form factors (e.g. glove, ring) and recognition algorithms (e.g. ad-hoc, random forest) have become available. With this increasing number and diversity of recognition devices, it is important to be able to easily switch between devices and/or modify the set of recognized microgestures. To address these challenges, we propose µPoly, a first microgesture toolkit based on the µGlyph microgesture notation. µPoly takes as input the µGlyph descriptions of elementary microgestures. These inputs are combined to recognize complex microgestures described using µGlyph. µPoly therefore offers a standard for microgesture events. The design of µPoly is based on properties taken from the toolkit literature. To highlight these properties: we present (1) how practitioners are using the toolkit in four scenarios, and report on user testing and (2) how applications are being developed with µPoly.

Figure 1: Overview of Spatial Media Controller.Our XR application was designed based on two workshops made with media professionals.Its goal is to showcase what volumetric capture (Presenter), 360° video (journalist), and XR (Audience and Director) can currently offer to the news broadcasting domain.

Emerging kits and methods about Extended Reality (XR) systems are mainly centered on the prototyping phase. The ideation phase, which comes before prototyping, is currently still under-explored. In this work, we propose UXR-kit: a toolkit and a method for the co-design of ideas for XR systems. UXR-kit is based on an approach inspired by design studios and generative techniques and highlights the specificities of XR systems. Results from an experimental study suggest that UXR-kit allows the emergence of ideas for XR designs through both World-In-Miniature representations and first-person representations at scale 1:1.

Current Mixed Reality (MR) Head-Mounted Displays (HMDs) offer a limited Field Of View (FOV) of the mixed environment. Turning the head is thus necessary to visually perceive the virtual objects that are placed within the real world. However, turning the head also means loosing the initial visual context. This limitation is critical in contexts like augmented surgery where surgeons need to visually focus on the operative field. To address this limitation we propose to bring virtual objects/widgets back to the users' FOV instead of forcing the users to turn their head. We carry an initial investigation to demonstrate the approach by designing and evaluating three new menu techniques to first bring the menu back to the users' FOV before selecting an item. Results show that our three menu techniques are 1.5s faster on average than the baseline head-motion menu technique and are largely preferred by participants.