Literature DB >> 36253600

A toolkit for wide-screen dynamic area of interest measurements using the Pupil Labs Core Eye Tracker.

Yasmin Faraji1,2, Joris W van Rijn1, Ruth M A van Nispen1,2, Ger H M B van Rens1,2, Bart J M Melis-Dankers3, Jan Koopman3, Laurentius J van Rijn4,5,6.   

Abstract

Eye tracking measurements taken while watching a wide field screen are challenging to perform. Commercially available remote eye trackers typically do not measure more than 35 degrees in eccentricity. Analysis software was developed using the Pupil Core Eye Tracking data to analyze viewing behavior under circumstances as natural as possible, on a 1.55-m-wide screen allowing free head movements. Additionally, dynamic area of interest (AOI) analyses were performed on data of participants viewing traffic scenes. A toolkit was created including software for simple allocation of dynamic AOIs (semi-automatically and manually), measurement of parameters such as dwell times and time to first entry, and overlaying gaze and AOIs on video. Participants (n =11) were asked to look at 13 dynamic AOIs in traffic scenes from appearance to disappearance in order to validate the setup and software. Different AOI margins were explored for the included objects. The median ratio between total appearance time and dwell time was about 90% for most objects when appropriate margins were chosen. This validated open-source toolkit is readily available for researchers who want to perform dynamic AOI analyses with the Pupil Core eye tracker, especially when measurements are desired on a wide screen, in various fields such as psychology, transportation, and low vision research.
© 2022. The Author(s).

Entities:  

Keywords:  Dynamic area of interest; Eye tracking; Visual perception

Year:  2022        PMID: 36253600     DOI: 10.3758/s13428-022-01991-5

Source DB:  PubMed          Journal:  Behav Res Methods        ISSN: 1554-351X


  10 in total

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Authors:  Pieter Vansteenkiste; Greet Cardon; Renaat Philippaerts; Matthieu Lenoir
Journal:  Ergonomics       Date:  2014-12-20       Impact factor: 2.778

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Authors:  Benedikt V Ehinger; Katharina Groß; Inga Ibs; Peter König
Journal:  PeerJ       Date:  2019-07-09       Impact factor: 2.984

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Authors:  Benjamin T Carter; Steven G Luke
Journal:  Int J Psychophysiol       Date:  2020-06-03       Impact factor: 2.997

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Authors:  Roy S Hessels; Jeroen S Benjamins; Tim H W Cornelissen; Ignace T C Hooge
Journal:  Front Psychol       Date:  2018-08-03

10.  The impact of slippage on the data quality of head-worn eye trackers.

Authors:  Diederick C Niehorster; Thiago Santini; Roy S Hessels; Ignace T C Hooge; Enkelejda Kasneci; Marcus Nyström
Journal:  Behav Res Methods       Date:  2020-06
  10 in total

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