EXPLORING GAZE-GESTURE INTERACTION ON THE WEB: A COMPARISON WITH MOUSE INPUT FOR OBJECT MANIPULATION
DOI:
https://doi.org/10.32782/IT/2024-3-4Ключові слова:
gaze-gesture interaction, mouse interaction, web-based interaction, object manipulation, humancomputer interaction, gaze tracking, accessible technology, hand gesture recognitionАнотація
The purpose of this study is to implement and evaluate a web-based gaze-gesture interaction method for object manipulation using a standard web camera. This method combines gaze tracking for object selection with hand gestures for natural manipulation tasks like rotating, scaling, and dragging. Unlike other implementations of such interaction that require specialized hardware, this method uses widely available technology, making advanced interaction techniques more accessible. The scientific novelty lies in developing a gaze-gesture interaction system that operates entirely on a web platform using standard hardware, removing the need for expensive, specialized equipment and enabling broader adoption. The methodology involved creating a web-based system using computer vision algorithms for real-time gaze tracking and gesture recognition. A user study was conducted where participants completed object manipulation tasks using both the gaze-gesture input and traditional mouse input, with task completion times recorded and analyzed. Conclusion. The study shows that gaze-gesture interaction is particularly effective for tasks requiring simultaneous actions, such as rotating and scaling objects, outperforming mouse input in these scenarios. While mouse input remains more efficient for simpler tasks, gaze-gesture interaction offers strong potential for enhancing complex task interactions on web platforms, contributing to the development of more accessible and intuitive input methods.
Посилання
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