Usability Analysis of an off-the-shelf Hand Posture Estimation Sensor for Freehand Physical Interaction in Egocentric Mixed Reality

Blaga, Andreea Dalia and Frutos-Pascual, Maite and Al-Kalbani, Maadh and Williams, Ian (2017) Usability Analysis of an off-the-shelf Hand Posture Estimation Sensor for Freehand Physical Interaction in Egocentric Mixed Reality. IEEE International Symposium on Mixed and Augmented Reality Adjunct Proceedings.

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Abstract

This paper explores freehand physical interaction in egocentric
Mixed Reality by performing a usability study on the use of hand
posture estimation sensors. We report on precision, interactivity
and usability metrics in a task-based user study, exploring the importance
of additional visual cues when interacting. A total of 750
interactions were recorded from 30 participants performing 5 different
interaction tasks (Move, Rotate: Pitch (Y axis) and Yaw (Z
axis), Uniform scale: enlarge and shrink). Additional visual cues
resulted in an average shorter time to interact, however, no consistent
statistical differences were found in between groups for performance
and precision results. The group with additional visual cues gave the
system and average System Usability Scale (SUS) score of 72.33
(SD = 16.24) while the other scored a 68.0 (SD = 18.68). Overall,
additional visual cues made the system being perceived as more
usable, despite the fact that the use of these two different conditions
had limited effect on precision and interactivity metrics.

Item Type: Article
Subjects: G400 Computer Science
Divisions: Faculty of Computing, Engineering and the Built Environment
Faculty of Computing, Engineering and the Built Environment > School of Computing and Digital Technology
Depositing User: Ian Williams
Date Deposited: 20 Nov 2018 15:24
Last Modified: 20 Nov 2018 15:24
URI: http://www.open-access.bcu.ac.uk/id/eprint/6598

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