Poster + Paper
16 March 2023 Analysis of error rate in hierarchical menu selection in immersive augmented reality
Author Affiliations +
Conference Poster
Abstract
The emergence of new immersive AR/VR headsets recently resulted in major improvements in hand-gesturebased user interfaces. Devices such as MS HoloLens II and Oculus Quest II support hand-gestures. Although using hand-gestures increases the sense of presence and ease of natural interactions, it has been shown that hand-gestures require extensive physical activity. Furthermore, it has been shown that the error rate in hierarchical menu selection is much higher when using hand-gestures than when using a desktop environment or the controllers. Therefore, assessing the difficulty of a hierarchical menu design when using hand-gestures and gaze for menu selection will enable UI designers to develop more effective user interfaces. In this work, we provide a validated index for estimating the hierarchical menu selection error using hand-gesture and head-gaze as input modalities. The index is informed by cognitive WAIS data gathered from participants, which measures subjective cognitive performance. The proposed index is the result of a user study that includes hundreds of hierarchical menu selections using MS HoloLens, and is validated against the data of a group of different participants. The results demonstrate that the index can successfully capture the trend of the users’ errors in selecting the hierarchical menu items in immersive environments.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Majid Pourmemar and Charalambos Poullis "Analysis of error rate in hierarchical menu selection in immersive augmented reality", Proc. SPIE 12449, Optical Architectures for Displays and Sensing in Augmented, Virtual, and Mixed Reality (AR, VR, MR) IV, 124491L (16 March 2023); https://doi.org/10.1117/12.2648315
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KEYWORDS
Augmented reality

Error analysis

Mathematical modeling

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