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A field test of computer-vision-based gaze estimation in psychology

Valtakari, Niilo V. (författare)
Utrecht University
Hessels, Roy S. (författare)
Utrecht University
Niehorster, Diederick C (författare)
Lund University,Lunds universitet,Humanistlaboratoriet,Fakultetsgemensamma verksamheter,Humanistiska och teologiska fakulteterna,Institutionen för psykologi,Samhällsvetenskapliga institutioner och centrumbildningar,Samhällsvetenskapliga fakulteten,Lund University Humanities Lab,Units,Joint Faculties of Humanities and Theology,Department of Psychology,Departments of Administrative, Economic and Social Sciences,Faculty of Social Sciences
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Viktorsson, Charlotte (författare)
Uppsala universitet,Institutionen för psykologi,Uppsala University Hospital
Nyström, Pär, 1975- (författare)
Uppsala universitet,Institutionen för psykologi,Uppsala University Hospital
Falck-Ytter, Terje (författare)
Karolinska Institutet,Uppsala universitet,Institutionen för psykologi,Karolinska Institutet Center of Neurodevelopmental Disorders (KIND), Department of Women’s and Children’s Health, Karolinska Institutet, Stockholm, Sweden,Uppsala University Hospital
Kemner, Chantal (författare)
Utrecht University
Hooge, Ignace T C (författare)
Utrecht University
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 (creator_code:org_t)
Springer, 2024
2024
Engelska.
Ingår i: Behavior Research Methods. - : Springer. - 1554-351X .- 1554-3528. ; 56:3, s. 1900-1915
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Computer-vision-based gaze estimation refers to techniques that estimate gaze direction directly from video recordings of the eyes or face without the need for an eye tracker. Although many such methods exist, their validation is often found in the technical literature (e.g., computer science conference papers). We aimed to (1) identify which computer-vision-based gaze estimation methods are usable by the average researcher in fields such as psychology or education, and (2) evaluate these methods. We searched for methods that do not require calibration and have clear documentation. Two toolkits, OpenFace and OpenGaze, were found to fulfill these criteria. First, we present an experiment where adult participants fixated on nine stimulus points on a computer screen. We filmed their face with a camera and processed the recorded videos with OpenFace and OpenGaze. We conclude that OpenGaze is accurate and precise enough to be used in screen-based experiments with stimuli separated by at least 11 degrees of gaze angle. OpenFace was not sufficiently accurate for such situations but can potentially be used in sparser environments. We then examined whether OpenFace could be used with horizontally separated stimuli in a sparse environment with infant participants. We compared dwell measures based on OpenFace estimates to the same measures based on manual coding. We conclude that OpenFace gaze estimates may potentially be used with measures such as relative total dwell time to sparse, horizontally separated areas of interest, but should not be used to draw conclusions about measures such as dwell duration.

Ämnesord

SAMHÄLLSVETENSKAP  -- Psykologi (hsv//swe)
SOCIAL SCIENCES  -- Psychology (hsv//eng)
SAMHÄLLSVETENSKAP  -- Psykologi -- Psykologi (hsv//swe)
SOCIAL SCIENCES  -- Psychology -- Psychology (hsv//eng)

Nyckelord

Eye tracking
Gaze estimation
Computer vision
Data quality
eye tracking
gaze estimation
computer vision
data quality

Publikations- och innehållstyp

ref (ämneskategori)
art (ämneskategori)

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