Sampling frequency and eye-tracking measures: how speed affects durations, latencies, and more

We use simulations to investigate the effect of sampling frequency on common dependent variables in eye-tracking. We identify two large groups of measures that behave differently, but consistently. The effect of sampling frequency on these two groups of measures are explored and simulations are perf...

Full description

Bibliographic Details
Main Authors: Richard Andersson, Marcus Nyström, Kenneth Holmqvist
Format: Article
Language:English
Published: Bern Open Publishing 2010-09-01
Series:Journal of Eye Movement Research
Subjects:
Online Access:https://bop.unibe.ch/JEMR/article/view/2300
id doaj-6f00d342ce8f4d9fba483c5242df15f3
record_format Article
spelling doaj-6f00d342ce8f4d9fba483c5242df15f32021-05-28T13:34:40ZengBern Open PublishingJournal of Eye Movement Research1995-86922010-09-013310.16910/jemr.3.3.6Sampling frequency and eye-tracking measures: how speed affects durations, latencies, and moreRichard Andersson0Marcus Nyström1Kenneth Holmqvist2Lund UniversityLund UniversityLund UniversityWe use simulations to investigate the effect of sampling frequency on common dependent variables in eye-tracking. We identify two large groups of measures that behave differently, but consistently. The effect of sampling frequency on these two groups of measures are explored and simulations are performed to estimate how much data are required to overcome the uncertainty of a limited sampling frequency. Both simulated and real data are used to estimate the temporal uncertainty of data produced by low sampling frequencies. The aim is to provide easy-to-use heuristics for researchers using eye-tracking. For example, we show how to compensate the uncertainty of a low sampling frequency with more data and postexperiment adjustments of measures. These findings have implications primarily for researchers using naturalistic setups where sampling frequencies typically are low.https://bop.unibe.ch/JEMR/article/view/2300eye tracking measuressaccadic latencytemporal sampling errorone point measurestwo point measuresvalidity
collection DOAJ
language English
format Article
sources DOAJ
author Richard Andersson
Marcus Nyström
Kenneth Holmqvist
spellingShingle Richard Andersson
Marcus Nyström
Kenneth Holmqvist
Sampling frequency and eye-tracking measures: how speed affects durations, latencies, and more
Journal of Eye Movement Research
eye tracking measures
saccadic latency
temporal sampling error
one point measures
two point measures
validity
author_facet Richard Andersson
Marcus Nyström
Kenneth Holmqvist
author_sort Richard Andersson
title Sampling frequency and eye-tracking measures: how speed affects durations, latencies, and more
title_short Sampling frequency and eye-tracking measures: how speed affects durations, latencies, and more
title_full Sampling frequency and eye-tracking measures: how speed affects durations, latencies, and more
title_fullStr Sampling frequency and eye-tracking measures: how speed affects durations, latencies, and more
title_full_unstemmed Sampling frequency and eye-tracking measures: how speed affects durations, latencies, and more
title_sort sampling frequency and eye-tracking measures: how speed affects durations, latencies, and more
publisher Bern Open Publishing
series Journal of Eye Movement Research
issn 1995-8692
publishDate 2010-09-01
description We use simulations to investigate the effect of sampling frequency on common dependent variables in eye-tracking. We identify two large groups of measures that behave differently, but consistently. The effect of sampling frequency on these two groups of measures are explored and simulations are performed to estimate how much data are required to overcome the uncertainty of a limited sampling frequency. Both simulated and real data are used to estimate the temporal uncertainty of data produced by low sampling frequencies. The aim is to provide easy-to-use heuristics for researchers using eye-tracking. For example, we show how to compensate the uncertainty of a low sampling frequency with more data and postexperiment adjustments of measures. These findings have implications primarily for researchers using naturalistic setups where sampling frequencies typically are low.
topic eye tracking measures
saccadic latency
temporal sampling error
one point measures
two point measures
validity
url https://bop.unibe.ch/JEMR/article/view/2300
work_keys_str_mv AT richardandersson samplingfrequencyandeyetrackingmeasureshowspeedaffectsdurationslatenciesandmore
AT marcusnystrom samplingfrequencyandeyetrackingmeasureshowspeedaffectsdurationslatenciesandmore
AT kennethholmqvist samplingfrequencyandeyetrackingmeasureshowspeedaffectsdurationslatenciesandmore
_version_ 1721423690467377152