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UID:pretalx-sips2026-online-VVLMEE@pretalx.com
DTSTART;TZID=EST:20260506T083000
DTEND;TZID=EST:20260506T083500
DESCRIPTION:Eye tracking has gained popularity in psychology\, computer sci
 ence\, and neuroscience (Rayner\, 2009). However\, concerns remain that pr
 eprocessing choices may influence results (Godwin et al.\, 2025\; Landes e
 t al.\, 2025). Prior research highlights potential decision points but doe
 s not account for analysts’ decisions. Many-analyst studies (Silberzahn 
 et al.\, 2018)\, in which multiple teams independently analyse the same da
 ta to test hypotheses\, demonstrate the impact of the "garden of forking p
 aths” (Gelman & Loken\, 2014) on conclusions drawn from the same dataset
 . We propose a many-analyst study using a visual attention and reading dat
 aset to investigate heterogeneity in the preprocessing and analysis of eye
 -tracking data. The Stage 1 report has been submitted\, and we hope to inv
 ite further colleagues to join the project. The lightning talk will cover 
 procedures based on research methods and the challenges they entail. Feedb
 ack on operationalising and facilitating the data collection will be appre
 ciated.
DTSTAMP:20260619T081941Z
LOCATION:Track 1
SUMMARY:oLT1: A many-analysts approach to assessing heterogeneity in eye-tr
 acking analysis pipelines - Yu Yang Chou\, Amélie Gourdon-Kanhukamwe
URL:https://pretalx.com/sips2026-online/talk/VVLMEE/
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