Filtering on the Go: Effect of Filters on Gaze Pointing Accuracy During Physical Locomotion in Extended Reality

Pavel Manakhov*, Ludwig Sidenmark, Ken Pfeuffer, Hans Gellersen

*Corresponding author af dette arbejde

Publikation: Bidrag til tidsskrift/Konferencebidrag i tidsskrift /Bidrag til avisTidsskriftartikelForskningpeer review

102 Downloads (Pure)

Abstract

Eye tracking filters have been shown to improve accuracy of gaze estimation and input for stationary settings. However, their effectiveness during physical movement remains underexplored. In this work, we compare common online filters in the context of physical locomotion in extended reality and propose alterations to improve them for on-the-go settings. We conducted a computational experiment where we simulate performance of the online filters using data on participants attending visual targets located in world-, path-, and two head-based reference frames while standing, walking, and jogging. Our results provide insights into the filters' effectiveness and factors that affect it, such as the amount of noise caused by locomotion and differences in compensatory eye movements, and demonstrate that filters with saccade detection prove most useful for on-the-go settings. We discuss the implications of our findings and conclude with guidance on gaze data filtering for interaction in extended reality.
OriginalsprogEngelsk
TidsskriftIEEE Transactions on Visualization and Computer Graphics
Vol/bind30
Nummer11
Sider (fra-til)7234-7244
Antal sider9
ISSN1077-2626
DOI
StatusUdgivet - sep. 2024

Fingeraftryk

Dyk ned i forskningsemnerne om 'Filtering on the Go: Effect of Filters on Gaze Pointing Accuracy During Physical Locomotion in Extended Reality'. Sammen danner de et unikt fingeraftryk.

Citationsformater