Statistics

Human–computer interaction

Geomorphology

Geology

Embedded system

Wearable computer

Augmented reality

Artificial intelligence

Psychology

Calibration

Pedagogy

Tracking (education)

Gaze

Head (geology)

Computer vision

Mathematics

Computer science

Eye tracking

Selection (genetic algorithm)

Optical head-mounted display

Head and eye movement can be leveraged to improve the user's interaction repertoire for wearable displays. Head movements are deliberate and accurate, and provide the current state-of-the-art pointing technique. Eye gaze can potentially be faster and more ergonomic, but suffers from low accuracy due to calibration errors and drift of wearable eye-tracking sensors. This work investigates precise, multimodal selection techniques using head motion and eye gaze. A comparison of speed and pointing accuracy reveals the relative merits of each method, including the achievable target size for robust selection. We demonstrate and discuss example applications for augmented reality, including compact menus with deep structure, and a proof-of-concept method for on-line correction of calibration drift.

Pinpointing