HCROJan 16, 2018

Excuse me! Perception of Abrupt Direction Changes Using Body Cues and Paths on Mixed Reality Avatars

arXiv:1801.05085v16 citations
Originality Synthesis-oriented
AI Analysis

This addresses the problem of human-robot communication in mixed reality settings, but it is incremental as it compares two existing visualization techniques.

The study evaluated two methods for signaling abrupt direction changes of a robotic platform using a Mixed Reality avatar: a 'Body' method using gaze, gesture, and torso cues, and a 'Path' method visualizing an angled ground path. Results showed the 'Path' method was slightly more accurate in communicating direction changes, but participants overall preferred the 'Body' method.

We evaluate two methods of signalling abrupt direction changes of a robotic platform using a Mixed Reality avatar. The "Body" method uses gaze, gesture and torso direction to point to upcoming waypoints. The "Path" method visualises the change in direction using an angled path on the ground. We compare these two methods using a controlled user study and show that each method has its strengths depending on the situation. Overall the "Path" method was slightly more accurate in communicating the direction change of the robot but participants overall preferred the "Body" method.

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