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SUMMARY:Nils Grimbeck (Chalmers University of Technology & University of G
 othenburg)
DTSTART:20250527T083000Z
DTEND:20250527T091500Z
DTSTAMP:20260422T155052Z
UID:gbgstats/87
DESCRIPTION:Title: <a href="https://researchseminars.org/talk/gbgstats/87/
 ">What do we see when we look at art? - Modelling of eye-movements in art 
 perception</a>\nby Nils Grimbeck (Chalmers University of Technology & Univ
 ersity of Gothenburg) as part of Gothenburg statistics seminar\n\nLecture 
 held in MVL14.\n\nAbstract\nEye movements during art perception have been 
 extensively studied over the past century\, as they provide insights into 
 perceptual\, evaluative\, and cognitive processes. Although several theore
 tical frameworks have been proposed\, it is only recently that spatial sta
 tistics have begun to explore gaze patterns\, specifically by modelling fi
 xation locations as spatial point patterns arising from spatio-temporal po
 int processes. Inspired by the simple model of eye-movements proposed by Y
 litalo et al. in 2016\, we propose a stochastic model that incorporates bo
 th the semi-conscious transitions between regions of interest (ROIs) in a 
 painting\, as well as the semi-random eye movements that occur while regis
 tering visual information within these regions during the first 30 seconds
  of art perception. \n    \n\nUsing eye-tracking data from twenty subjects
  on six paintings\, we apply mean-shift clustering to identify ROIs in eac
 h painting based on the intensity of fixation points. A Markov chain is su
 bsequently used to model the transitions between these regions and based o
 n the model proposed by Ylitalo et al. we use the estimated intensity and 
 saccade length distribution to model the placement of fixations within eac
 h ROI. Using this modelling approach\, we analyse the dynamics of eye move
 ments during the initial 30 seconds of art perception and to assess the ro
 bustness of our modelling assumptions across six diverse paintings and art
 istic styles.\n
LOCATION:https://researchseminars.org/talk/gbgstats/87/
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