Extended Fitts’ model of pointing time in eye-gaze input system - Incorporating effects of target shape and movement direction into modeling

Atsuo Murata, Daichi Fukunaga

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

This study attempted to investigate the effects of the target shape and the movement direction on the pointing time using an eye-gaze input system and extend Fitts’ model so that these factors are incorporated into the model and the predictive power of Fitts’ model is enhanced. The target shape, the target size, the movement distance, and the direction of target presentation were set as within-subject experimental variables. The target shape included: a circle, and rectangles with an aspect ratio of 1:1, 1:2, 1:3, and 1:4. The movement direction included eight directions: upper, lower, left, right, upper left, upper right, lower left, and lower right. On the basis of the data for identifying the effects of the target shape and the movement direction on the pointing time, an attempt was made to develop a generalized and extended Fitts’ model that took into account the movement direction and the target shape. As a result, the generalized and extended model was found to fit better to the experimental data, and be more effective for predicting the pointing time for a variety of human-computer interaction (HCI) task using an eye-gaze input system.

Original languageEnglish
Pages (from-to)54-60
Number of pages7
JournalApplied Ergonomics
Volume68
DOIs
Publication statusPublished - Apr 1 2018

Keywords

  • Eye-gaze input system
  • Fitts’ modeling
  • HCI
  • Movement direction
  • Pointing time
  • Target shape

ASJC Scopus subject areas

  • Human Factors and Ergonomics
  • Physical Therapy, Sports Therapy and Rehabilitation
  • Safety, Risk, Reliability and Quality
  • Engineering (miscellaneous)

Fingerprint Dive into the research topics of 'Extended Fitts’ model of pointing time in eye-gaze input system - Incorporating effects of target shape and movement direction into modeling'. Together they form a unique fingerprint.

  • Cite this