research-article

Benchmarking pointing techniques with distractors: adding a density factor to Fitts' pointing paradigm

Authors:

Michael OrtegaAuthors Info & Claims

CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 1629 - 1638

https://doi.org/10.1145/1978942.1979180

Published: 07 May 2011 Publication History

Abstract

Fitts' pointing paradigm is widely used to conduct controlled experiments and to evaluate new interaction techniques enhancing target acquisition. Many of them change the behavior of the cursor according to various inputs, most notably the positions of potential targets. We propose to extend Fitts' paradigm in order to challenge those techniques with distractors (i.e., potential targets which are not the goal of the user) in a controlled manner. To reduce variability, we add a single new factor to the paradigm, the distractor density. We specify a distractors distribution, fully determined by this factor together with those of Fitts' task, aimed at reducing bias toward a specific technique. We also propose a preliminary extension of Fitts' law to take account of the sensitivity to the density of distractors as well as of the task difficulty. In an experiment, we compare five existing pointing techniques, and show that this extended protocol enables contrasted comparisons between them.

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Cited By

Usuba HYamanaka SSato J(2023)Clarifying the Effect of Edge Targets in Touch Pointing through Crowdsourced ExperimentsProceedings of the ACM on Human-Computer Interaction10.1145/36264697:ISS(156-174)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1145/3626469
Oba YMiyashita H(2023)Effect of a Cursor Warping Left and Right of the NotchExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585766(1-8)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3585766
Wei YShi RYu DWang YLi YYu LLiang H(2023)Predicting Gaze-based Target Selection in Augmented Reality Headsets based on Eye and Head Endpoint DistributionsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581042(1-14)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581042
Show More Cited By

Index Terms

Benchmarking pointing techniques with distractors: adding a density factor to Fitts' pointing paradigm
1. Computing methodologies
2. Human-centered computing
  1. Human computer interaction (HCI)

Index terms have been assigned to the content through auto-classification.

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Published In

cover image ACM Conferences

CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

May 2011

3530 pages

ISBN:9781450302289

DOI:10.1145/1978942

General Chair:
Desney Tan
Microsoft Research
,
Program Chairs:
Geraldine Fitzpatrick
Vienna University of Technology
,
Carl Gutwin
University of Saskatchewan
,
Bo Begole
PARC
,
Wendy A. Kellogg
IBM Research

Copyright © 2011 ACM.

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Published: 07 May 2011

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CHI '11

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CHI '11: CHI Conference on Human Factors in Computing Systems

May 7 - 12, 2011

BC, Vancouver, Canada

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CHI '11 Paper Acceptance Rate 410 of 1,532 submissions, 27%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Usuba HYamanaka SSato J(2023)Clarifying the Effect of Edge Targets in Touch Pointing through Crowdsourced ExperimentsProceedings of the ACM on Human-Computer Interaction10.1145/36264697:ISS(156-174)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1145/3626469
Oba YMiyashita H(2023)Effect of a Cursor Warping Left and Right of the NotchExtended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544549.3585766(1-8)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544549.3585766
Wei YShi RYu DWang YLi YYu LLiang H(2023)Predicting Gaze-based Target Selection in Augmented Reality Headsets based on Eye and Head Endpoint DistributionsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581042(1-14)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3581042
Yamanaka SUsuba H(2023)Tuning Endpoint-variability Parameters by Observed Error Rates to Obtain Better Prediction Accuracy of Pointing MissesProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580746(1-18)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580746
Yamanaka SKinoshita TOba YTomihari RMiyashita H(2023)Varying Subjective Speed-accuracy Biases to Evaluate the Generalizability of Experimental Conclusions on Pointing-facilitation TechniquesProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580740(1-13)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580740
Chaffangeon Caillet AGoguey ANigay L(2023)3D Selection in Mixed Reality: Designing a Two-Phase Technique To Reduce Fatigue2023 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)10.1109/ISMAR59233.2023.00095(800-809)Online publication date: 16-Oct-2023
https://doi.org/10.1109/ISMAR59233.2023.00095
Yang YXia WLekschas FNobre CKrüger RPfister H(2022)The Pattern is in the Details: An Evaluation of Interaction Techniques for Locating, Searching, and Contextualizing Details in Multivariate Matrix VisualizationsProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517673(1-15)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517673
Yamanaka SUsuba HMiyashita H(2022)Bivariate Effective Width Method to Improve the Normalization Capability for Subjective Speed-accuracy Biases in Rectangular-target PointingProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517466(1-13)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517466
Ko YPutkonen AAydin AFeiz SWang YAshok VRamakrishnan IOulasvirta ABi X(2021)Modeling Gliding-based Target Selection for Blind Touchscreen UsersProceedings of the 23rd International Conference on Mobile Human-Computer Interaction10.1145/3447526.3472022(1-14)Online publication date: 27-Sep-2021
https://dl.acm.org/doi/10.1145/3447526.3472022
Tu HHuang JLiang HSkarbez RTian FDuh HKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Distractor Effects on Crossing-Based InteractionProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445340(1-13)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445340
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