research-article

Pupil dilations during target-pointing respect Fitts' law

Authors:

M. Stella Atkins,

Roman BednarikAuthors Info & Claims

ETRA '14: Proceedings of the Symposium on Eye Tracking Research and Applications

Pages 175 - 182

https://doi.org/10.1145/2578153.2578178

Published: 26 March 2014 Publication History

Abstract

Pupil size is known to correlate with changes of cognitive task workloads, but the pupillary response to requirements of basic goal-directed motor tasks is not yet clear, although pointing with tools is a ubiquitous human task. This work describes a user study to investigate the pupil dilations during aiming in two tele-operation tasks with different target settings, one aiming at targets with different sizes located at constant distance apart, and the other aiming at targets varying in different distances. The task requirements in each task were defined by Fitts' index of difficulty (ID). The purpose of this work is to further explore how the changes in task requirements are reflected by the changes of pupil size, i.e., whether the pupil responds to either target size or target distance, or to both of them. Pupil responses to different task IDs were recorded in each task. The results showed that the pupil responds to the changes of ID, not just to the change of target size. This implies that pupil diameter can be employed as an indicator of task requirement in goal-directed movements, because higher task difficulty evoked higher peak pupil dilation which occurred with longer delay. These findings can be used for detailed understanding of eye-hand coordination mechanisms in interactive systems and contribute to the foundation for developing methods to objectively evaluate interactive task requirements using pupil parameters during goal-directed movements.

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Naik RKogkas AAshrafian HMylonas GDarzi A(2022)The Measurement of Cognitive Workload in Surgery Using Pupil Metrics: A Systematic Review and Narrative AnalysisJournal of Surgical Research10.1016/j.jss.2022.07.010280(258-272)Online publication date: Dec-2022
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Cong RTago KJin Q(2022)Measurement and verification of cognitive load in multimedia presentation using an eye trackerMultimedia Tools and Applications10.1007/s11042-022-13294-081:19(26821-26835)Online publication date: 1-Aug-2022
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Index Terms

Pupil dilations during target-pointing respect Fitts' law
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods

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cover image ACM Conferences

ETRA '14: Proceedings of the Symposium on Eye Tracking Research and Applications

March 2014

394 pages

ISBN:9781450327510

DOI:10.1145/2578153

Conference Chairs:
Pernilla Qvarfordt
FX Palo Alto Laboratory
,
Dan Witzner Hansen
IT University, Denmark

Copyright © 2014 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 26 March 2014

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Royal College of Physicians and Surgeons of Canada (RCPSC) Medical Education Research
Natural Sciences and Engineering Research Council of Canada

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ETRA '14

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ETRA '14: Eye Tracking Research and Applications

March 26 - 28, 2014

Florida, Safety Harbor

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Overall Acceptance Rate 69 of 137 submissions, 50%

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2025 Symposium on Eye Tracking Research and Applications

May 26 - 29, 2025

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Cited By

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https://doi.org/10.1016/j.cola.2023.101198
Naik RKogkas AAshrafian HMylonas GDarzi A(2022)The Measurement of Cognitive Workload in Surgery Using Pupil Metrics: A Systematic Review and Narrative AnalysisJournal of Surgical Research10.1016/j.jss.2022.07.010280(258-272)Online publication date: Dec-2022
https://doi.org/10.1016/j.jss.2022.07.010
Cong RTago KJin Q(2022)Measurement and verification of cognitive load in multimedia presentation using an eye trackerMultimedia Tools and Applications10.1007/s11042-022-13294-081:19(26821-26835)Online publication date: 1-Aug-2022
https://dl.acm.org/doi/10.1007/s11042-022-13294-0
Hou BBekgaard PMacKenzie SHansen JPuthusserypady S(2020)GIMIS: Gaze Input with Motor Imagery SelectionACM Symposium on Eye Tracking Research and Applications10.1145/3379157.3388932(1-10)Online publication date: 2-Jun-2020
https://dl.acm.org/doi/10.1145/3379157.3388932
Lu SSanchez Perdomo YJiang XZheng B(2020)Integrating Eye-Tracking to Augmented Reality System for Surgical TrainingJournal of Medical Systems10.1007/s10916-020-01656-w44:11Online publication date: 29-Sep-2020
https://dl.acm.org/doi/10.1007/s10916-020-01656-w
Bækgaard PHansen JMinakata KMacKenzie IKrejtz KSharif B(2019)A Fitts' law study of pupil dilations in a head-mounted displayProceedings of the 11th ACM Symposium on Eye Tracking Research & Applications10.1145/3314111.3319831(1-5)Online publication date: 25-Jun-2019
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de Gómez Pérez DSuokas MBednarik RBulling AKasneci ELander C(2018)Crowdsourcing pupil annotation datasetsProceedings of the 7th Workshop on Pervasive Eye Tracking and Mobile Eye-Based Interaction10.1145/3208031.3208036(1-7)Online publication date: 15-Jun-2018
https://dl.acm.org/doi/10.1145/3208031.3208036
Matsumoto ATange YNakazawa ANishida T(2017)Estimation of Task Difficulty and Habituation Effect While Visual Manipulation Using Pupillary ResponseVideo Analytics. Face and Facial Expression Recognition and Audience Measurement10.1007/978-3-319-56687-0_3(24-35)Online publication date: 29-Mar-2017
https://doi.org/10.1007/978-3-319-56687-0_3
Sanchez YPinzon DZheng B(2016)Reaction time for processing visual stimulus in a computer-assisted rehabilitation environmentDisability and Rehabilitation: Assistive Technology10.1080/17483107.2016.125311812:7(725-729)Online publication date: 7-Dec-2016
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Zheng BJiang XAtkins M(2015)Detection of Changes in Surgical DifficultySurgical Innovation10.1177/155335061557358222:6(629-635)Online publication date: 9-Mar-2015
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