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Uncovering the effect of slippage on wearable eye trackers : a motion capture study

Pettenella, Alberto ; Nyström, Marcus LU orcid ; Carminati, Marco and Niehorster, Diederick C. LU orcid (2026) ETRA '26: 2026 Symposium on Eye Tracking Research and Applications
Abstract
Wearable eye tracking in unconstrained settings is often compromised by slippage, yet the direct relationship between physical frame displacement and gaze error remains unexplored. This study addresses this gap combining eye tracking and motion capture to evaluate the slippage robustness of Pupil Labs Neon, Tobii Pro Glasses 3 and ViewPointSystems Lite eye trackers. Data were collected as twelve participants performed tasks involving facial expressions, induced glasses motion and locomotion. Results indicate that the Tobii Pro Glasses 3 are the most slippage-robust, maintaining an average gaze error below 2.5° regardless of movement. Conversely, the ViewPointSystems Lite exhibited large errors scaling with displacement (up to 29.3° on... (More)
Wearable eye tracking in unconstrained settings is often compromised by slippage, yet the direct relationship between physical frame displacement and gaze error remains unexplored. This study addresses this gap combining eye tracking and motion capture to evaluate the slippage robustness of Pupil Labs Neon, Tobii Pro Glasses 3 and ViewPointSystems Lite eye trackers. Data were collected as twelve participants performed tasks involving facial expressions, induced glasses motion and locomotion. Results indicate that the Tobii Pro Glasses 3 are the most slippage-robust, maintaining an average gaze error below 2.5° regardless of movement. Conversely, the ViewPointSystems Lite exhibited large errors scaling with displacement (up to 29.3° on average) during induced motion tasks. The Pupil Labs Neon demonstrated resilience against large errors (<3.5° on average). Our findings enable researchers to anticipate the gaze error in unconstrained environments, and push manufacturers to provide realistic specifications of slippage instead of claims of “slippage-robust“ eye tracking. (Less)
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author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
ETRA '26 : Symposium on Eye Tracking Research and Applications - Symposium on Eye Tracking Research and Applications
editor
Chetouani, Aladine ; Vilanueva, Arantxa ; Bruno, Alessandro and Echeverria, Rebeca
article number
26
pages
7 pages
publisher
Association for Computing Machinery (ACM)
conference name
ETRA '26: 2026 Symposium on Eye Tracking Research and Applications
conference location
Marrakesh, Morocco
conference dates
2026-06-01 - 2026-06-04
external identifiers
  • scopus:105043721997
ISBN
979-8-4007-2519-7
DOI
10.1145/3797246.3803029
language
English
LU publication?
yes
id
f6ad872f-1d36-428b-814f-0430cbfe09bc
date added to LUP
2026-06-01 08:48:00
date last changed
2026-08-19 04:01:19
@inproceedings{f6ad872f-1d36-428b-814f-0430cbfe09bc,
  abstract     = {{Wearable eye tracking in unconstrained settings is often compromised by slippage, yet the direct relationship between physical frame displacement and gaze error remains unexplored. This study addresses this gap combining eye tracking and motion capture to evaluate the slippage robustness of Pupil Labs Neon, Tobii Pro Glasses 3 and ViewPointSystems Lite eye trackers. Data were collected as twelve participants performed tasks involving facial expressions, induced glasses motion and locomotion. Results indicate that the Tobii Pro Glasses 3 are the most slippage-robust, maintaining an average gaze error below 2.5° regardless of movement. Conversely, the ViewPointSystems Lite exhibited large errors scaling with displacement (up to 29.3° on average) during induced motion tasks. The Pupil Labs Neon demonstrated resilience against large errors (&lt;3.5° on average). Our findings enable researchers to anticipate the gaze error in unconstrained environments, and push manufacturers to provide realistic specifications of slippage instead of claims of “slippage-robust“ eye tracking.}},
  author       = {{Pettenella, Alberto and Nyström, Marcus and Carminati, Marco and Niehorster, Diederick C.}},
  booktitle    = {{ETRA '26 : Symposium on Eye Tracking Research and Applications}},
  editor       = {{Chetouani, Aladine and Vilanueva, Arantxa and Bruno, Alessandro and Echeverria, Rebeca}},
  isbn         = {{979-8-4007-2519-7}},
  language     = {{eng}},
  month        = {{05}},
  publisher    = {{Association for Computing Machinery (ACM)}},
  title        = {{Uncovering the effect of slippage on wearable eye trackers : a motion capture study}},
  url          = {{http://dx.doi.org/10.1145/3797246.3803029}},
  doi          = {{10.1145/3797246.3803029}},
  year         = {{2026}},
}