Crossing Rays: Evaluation of Bimanual Mid-air Selection Techniques in an Immersive Environment
DongHoon Kim, Dongyun Han, Siyeon Bak, Isaac Cho
TL;DR
The paper addresses the challenge of selecting mid-air destinations for immersive VR navigation by evaluating four crossing-ray, bimanual techniques—Simple-Ray, Simple-Stripe, Precision-Stripe, and Cursor-Sync—against an unimanual baseline across two task variants (with and without a reference). It systematically manipulates distance (3m, 6m, 9m) and uses two tasks to measure selection time and error distance, supplemented by NASA-TLX and UEQ questionnaires to capture workload and user experience. Across Task 1 with a reference, Simple-Ray often yields the fastest selection times, while Precision-Stripe and Cursor-Sync improve accuracy and user experience; Task 2 shows trade-offs where precision-oriented variants outperform in accuracy at longer distances at the expense of speed. Overall, bimanual techniques generally outperform the unimanual baseline, with selection-support features and visual aids enhancing accuracy and usability in reference-rich contexts, providing actionable guidance for designing mid-air navigation interfaces in VR.
Abstract
Mid-air navigation offers a method of aerial travel that mitigates the constraints associated with continuous navigation. A mid-air selection technique is essential to enable such navigation. In this paper, we consider four variations of intersection-based bimanual mid-air selection techniques with visual aids and supporting features: Simple-Ray, Simple-Stripe, Precision-Stripe, and Cursor-Sync. We evaluate their performance and user experience compared to an unimanual mid-air selection technique using two tasks that require selecting a mid-air position with or without a reference object. Our findings indicate that the bimanual techniques generally demonstrate faster selection times compared to the unimanual technique. With a supporting feature, the bimanual techniques can provide a more accurate selection than the unimanual technique. Based on our results, we discuss the effect of selection technique's visual aids and supporting features on performance and user experience for mid-air selection.
