Analysis of Error Rate in Hierarchical Menu Selection in Immersive Augmented Reality

Analysis of Error Rate in Hierarchical Menu Selection in Immersive Augmented Reality

Our paper Analysis of Error Rate in Hierarchical Menu Selection in Immersive Augmented Reality has been accepted for publication at SPIE AR|VR|MR, 2023. The work is co-authored by Majid Pourmemar and Charalambos Poullis.

Abstract: The emergence of new immersive AR/VR headsets recently resulted in major improvements in hand-gesture-based 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.

Link to PDF: https://tinyurl.com/39yxa2ak