Abstract
Gaze input offers strong potential for creating intuitive and engaging user interfaces, but remains constrained by inherent limitations in accuracy and precision. Although extensive research has explored gaze-based interaction over the past three decades, a systematic framework that fully captures the diversity of gaze interaction techniques is still lacking. To address this gap, we present a novel two-dimensional taxonomy that classifies gaze interactions by (1) the type of input, distinguishing between gaze-only and gaze-assisted modalities, and (2) the type of target, differentiating between those requiring absolute gaze coordinates and thus higher accuracy, and those using relative coordinates, which tolerate lower accuracy. Our taxonomy explicitly captures the required input accuracy and interface constraints of each technique, providing clearer guidance for designers of gaze-based interfaces. We apply this taxonomy to review and classify 125 studies of active gaze interactions on 2D displays. The findings highlight promising techniques and identify research opportunities to advance gaze interaction design.
| Original language | English |
|---|---|
| Article number | 308 |
| Pages (from-to) | 1-37 |
| Journal | ACM Computing Surveys |
| Volume | 57 |
| Issue number | 12 |
| DOIs | |
| Publication status | Published - 11 Jul 2025 |
Keywords
- 2D displays
- Eye-tracking
- gaze
- gaze-assisted
- gaze-only
- interaction
- literature review
- selection
- survey
ASJC Scopus subject areas
- Theoretical Computer Science
- General Computer Science
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