HeadZoom: Hands-Free Zooming and Panning for 2D Image Navigation Using Head Motion

TL;DR

HeadZoom is a novel hands-free head motion-based technique for smooth zooming and panning in 2D visual content, improving user comfort and efficiency in tasks like map and image exploration.

Contribution

It introduces a new head-tracking interaction method for 2D navigation that reduces physical effort and enhances usability in VR and accessible systems.

Findings

Parallel Zoom reduces head movement compared to other techniques.

Users experience lower perceived exertion with Parallel Zoom.

HeadZoom enables effective hands-free 2D navigation in various applications.

Abstract

We introduce \textit{HeadZoom}, a hands-free interaction technique for navigating two-dimensional visual content using head movements. HeadZoom enables fluid zooming and panning using only real-time head tracking. It supports natural control in applications such as map exploration, radiograph inspection, and image browsing, where physical interaction is limited. We evaluated HeadZoom in a within-subjects study comparing three interaction techniques-Static, Tilt Zoom, and Parallel Zoom-across spatial, error, and subjective metrics. Parallel Zoom significantly reduced total head movement compared to Static and Tilt modes. Users reported significantly lower perceived exertion for Parallel Zoom, confirming its suitability for prolonged or precision-based tasks. By minimizing movement demands while maintaining task effectiveness, HeadZoom advances the design of head-based 2D interaction in VR and creates new opportunities for accessible hands-free systems for image exploration.