EGuide

Abstract

Figure 1: (a) shows a user with EGuide. Infrared cameras track the user's movements. A virtual-reality head-mounted display provides output. (b) gives an overview on the independent variables visual appearance and guidance technique that we investigated in a user study. (c) and (d) show two of the investigated guidance visualizations: One with an abstract (VA_ABSTRACT) and one with a realistic (VA_REALISTIC) visual shape. The figures also show two of the three investigated guidance techniques: In (c) the guidance visualization moves along a movement without pause (GT_CONTINUOUS). The user is supposed to follow the moving blue arms continuously. In (d) additionally, half-transparent arms are shown at the next keyframe (GT_KEYFRAME). Keyframes are particularly important postures within a movement. When the moving arms reach a keyframe, the visualization of the keyframe disappears and the next keyframe is shown. In the third investigated guidance technique, the visualization additionally pauses at each keyframe until a user reaches it (GT_PAUSING). For an illustration of GT_PAUSING see Figure 3.

Design Space of Visual Feedforward And Corrective Feedback in XR-Based Motion Guidance Systems

“…Start set B contains prominent publications (over 100 citations on Google Scholar) that fit our scope: Just Follow Me [58], ShadowGuides [18], LightGuide [51], YouMove [1] and Physio@Home [53]. Start set C contains publications within the past 5 years on XR-based motion guidance across a broad research spectrum, including: Kodama et al [32] on training using virtual co-embodiment, Zhou et al [61] on motion guidance with an MR mirror, Lilija et al [39] on correction on virtual hand avatar movements, Yu et al [59] on the influence of perspective in motion guidance, and Dürr et al [14] on the virtual appearance of feedforward.…”

OctoPocus in VR: Using a Dynamic Guide for 3D Mid-Air Gestures in Virtual Reality

“…Therefore, their effectiveness is limited to scenarios with a clear movement objective like dancing, yoga, and rehabilitation exercises. It makes sense why some guides were designed to focus on providing feedback on how far or close users' actions have been [42,43] with only limited feedforward.…”

Virtual Humans in AR: Evaluation of Presentation Concepts in an Industrial Assistance Use Case

“…Due to that, in addition to the presentation of pre-recorded dance videos, a 2D screen aligned skeleton representation was integrated in the YouMove system [1] to enable feedback provision. Whilst a skeleton presentation instead of a realistic human visualization was utilized, findings suggest that within dynamic information presentations more realistic shapes increase the acceptance [5,16] and movement accuracy [4]. By displaying the three-dimensional (3D) content in a 2D way, lower implementation costs occur.…”

“…The results indicate advantages of 3D environments for learning scenarios in terms of learning time, motion similarity and user experience over the presentation of 2D material. Apart from presenting a virtual human in an exocentric perspective, which leads to cognitive load, due to multiple stimuli and the needed effort of transferring the perceived exocentric motion to the own body [4], egocentric presentations are utilized. AR-Arm [12] is an immersive augmented reality (AR) tool to train Tai-Chi motions with regard to the upper limbs in a first-person perspective: the movement of the virtual arms are displayed in an egocentric perspective and imitated by the users which leads to benefits in terms of body ownership compared to a 2D screen method.…”

“…With the possibility to record or simulate and afterwards digitally present expert's motions to the trainee, digital expert-based learning is enabled. Besides the presentation of recorded real-world videos [33], using virtual humans for educational settings gains importance, in particular due to a general shortage of experts [4,22]. Whilst in other domains research with regard to expert-based learning with virtual humans and different presentation concepts exists, limited empirical evidence demonstrates the usefulness of such concepts during manual assembly tasks, having regard to implementation costs.…”