Variability of sinusoidal tracking characteristics in children

A. P. Accardo, S. Pensiero, S. Da Pozzo, P. Inchingolo, P. Perisutti

Research output: Contribution to journalArticlepeer-review

Abstract

The variability throughout the test of the smooth pursuit (SP) response to a sinusoidal stimulation was studied in 10 normal children and and in 10 adults. This phenomenon is not described in the literature and its influence on values of the SP characteristics is unknown: similarly, the values of the SP characteristics in school ages have not yet been subject of experimental study. The parameters which describe the response to a sinusoidal stimulation studied here are SP phase and gain (peak eye velocity /peak target velocity) and overall phase and gain (peak eye position /peak target position). It is shown that records obtained from children present a marked fluctuation, depending on less constant attention level. Nevertheless, these fluctuations are not responsible for the different mean values of the SP characteristics found in adults and children. These differences are only marginally due (i.e. at the highest stimulation frequency) to fatigue, while they can be mainly ascribed to an incomplete SP maturation in children. This study concerned also the possible influence of the duration of each test on the mean values of the SP parameters. Our data demonstrate that a correct evaluation of each parameter is obtained only from records of longer than 6 cycles. Moreover, for a valid comparison among experimental groups, the same criterion of characteristics evaluation is needed: therefore all authors should explicitly mention the method used in order to allow comparisons among literature data.

Original languageEnglish
Pages (from-to)87-97
Number of pages11
JournalStudies in Visual Information Processing
Volume6
Issue numberC
DOIs
Publication statusPublished - 1995

Keywords

  • attention
  • eye movements
  • fatigue
  • normal children
  • parameter evaluation
  • smooth pursuit
  • variability

ASJC Scopus subject areas

  • Sensory Systems
  • Ophthalmology
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

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