• Title/Summary/Keyword: three-dimensional pointing task

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Human performance evaluation of the three-dimensional input devices in virtual environment system (가상현실 시스템에서의 3차원 입력장치의 인간성능 평가)

  • Park, Jae-Hui;Park, Gyeong-Su
    • Journal of the Ergonomics Society of Korea
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    • v.19 no.1
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    • pp.49-61
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    • 2000
  • An experiment was designed to evaluate Fitts' law for the three-dimensional virtual pointing task and to compare the three input devices; Spaceball, Spacemouse, and 3D-Mouse. The result showed that Fitts law fitted poorly for the three-dimensional pointing tasks with relatively low coefficients of determinant. Three reasons, high degree-of-freedom, dynamic egocentric viewpoint change, and clutching problem were discussed to explain the poor fitness of Fitts' law. In terms of device comparison, the 3D-Mouse was superior to the other input devices. Also, the stereoscopic display significantly increased the performance. The results of this study can be used for the design of virtual control tasks and the selection of suitable input devices.

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Extended Fitts' Law for Three-Dimensional Environment

  • Cha, Yeon-Joo;Myung, Ro-Hae
    • Journal of the Ergonomics Society of Korea
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    • v.29 no.6
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    • pp.861-868
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    • 2010
  • This study explored an extended three-dimensional Fitts' law that is more suited for the pointing task than the conventional Fitts' law. The experiments were conducted under the manipulation of the distance to the target, size of the target, and direction of the target's location that can be described by two angles, $\theta1$ and $\theta2$. Considering the starting point as the center of coordinates, $\theta1$ is the angle between the positive z-axis and the target location and $\theta2$ is the angle between the positive y-axis and the projected target location on the x-y plane. From the experimental results, we confirmed that all four variables significantly affect the movement time. As we extended the index of difficulty of the conventional Fitts' model by incorporating $\theta1$ and $\theta2$, we established an extended Fitts' model that showed better accordance with the empirical data than the conventional Fitts' model and 3D Fitts' law of Murata and Iwase, in terms of the $r^2$ and the standard error of the residual between the measured movement time and the predicted value.