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A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

A Methodology for Capturing Joint Visual Attention Using Mobile Eye-Trackers

Published on: January 18, 2020

A novel AR remote collaborative platform for sharing 2.5D gestures and gaze.

Yue Wang¹, Peng Wang¹, Zhiyong Luo¹

¹School of Advanced Manufacturing Engineering, Chongqing University of Posts and Telecommunications, Chong Qing, 400065 China.

The International Journal, Advanced Manufacturing Technology

|January 31, 2022

Summary

This study introduces a new platform for remote collaboration using 2.5D gestures and gaze (2.5DGG) in augmented reality (AR). The 2.5DGG system enhances multimodal interaction, improving performance and user experience in tasks like manufacturing assembly.

Keywords:

Augmented reality Gestures and gaze Multimodal interaction Physical tasks Remote collaboration

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Area of Science:

Human-Computer Interaction
Augmented Reality
Collaborative Systems

Background:

Current AR remote collaboration systems often rely on unimodal interfaces and limited gesture sharing (2D/3D).
Sharing gestures and gaze can enhance remote collaboration, but existing methods are not fully optimized for natural interaction.

Purpose of the Study:

To introduce and evaluate a novel remote collaborative platform utilizing 2.5D gestures and gaze (2.5DGG).
To investigate the impact of sharing 2.5DGG in spatial augmented reality (SAR) for manufacturing tasks.

Main Methods:

Developed a platform supporting 2.5D gestures and gaze tracking using Leap Motion and aGlass.
Implemented a spatial AR system to visualize remote expert's 2.5DGG in the local worker's scenario via projector.
Conducted an exploratory user study in a manufacturing context.

Main Results:

The 2.5DGG system offers more natural and intuitive multimodal interaction compared to traditional systems.
Significant differences in performance time and collaborative experience were observed.
The 2.5DGG approach demonstrated superior outcomes over conventional methods.

Conclusions:

The proposed 2.5DGG platform enhances remote collaboration effectiveness in AR environments.
Multimodal interaction combining gestures and gaze improves task efficiency and user satisfaction.
This technology holds promise for training and assembly tasks in manufacturing.