Hoffmann Errol R, Chan Alan H S, Heung P T
University of Melbourne, Melbourne, Australia.
City University of Hong Kong, Kowloon Tong.
Hum Factors. 2017 Sep;59(6):986-994. doi: 10.1177/0018720817701000. Epub 2017 Mar 24.
The aim of this study was to measure head rotation movement times in a Fitts' paradigm and to investigate the transition region from ballistic movements to visually controlled movements as the task index of difficulty (ID) increases.
For head rotation, there are gaps in the knowledge of the effects of movement amplitude and task difficulty around the critical transition region from ballistic movements to visually controlled movements.
Under the conditions of 11 ID values (from 1.0 to 6.0) and five movement amplitudes (20° to 60°), participants performed a head rotation task, and movement times were measured.
Both the movement amplitude and task difficulty have effects on movement times at low IDs, but movement times are dependent only on ID at higher ID values. Movement times of participants are higher than for arm/hand movements, for both ballistic and visually controlled movements. The information-processing rate of head rotational movements, at high ID values, is about half that of arm movements.
As an input mode, head rotations are not as efficient as the arm system either in ability to use rapid ballistic movements or in the rate at which information may be processed.
The data of this study add to those in the review of Hoffmann for the critical IDs of different body motions. The data also allow design for the best arrangement of display that is under the design constraints of limited display area and difficulty of head-controlled movements in a data-inputting task.
本研究旨在测量在菲茨范式下头部旋转运动的时间,并随着任务难度指数(ID)的增加,研究从弹道运动到视觉控制运动的过渡区域。
对于头部旋转,在从弹道运动到视觉控制运动的关键过渡区域周围,关于运动幅度和任务难度的影响的知识存在空白。
在11个ID值(从1.0到6.0)和五个运动幅度(20°至60°)的条件下,参与者执行头部旋转任务,并测量运动时间。
在低ID值时,运动幅度和任务难度都对运动时间有影响,但在较高ID值时,运动时间仅取决于ID。对于弹道运动和视觉控制运动,参与者的运动时间都高于手臂/手部运动。在高ID值时,头部旋转运动的信息处理速率约为手臂运动的一半。
作为一种输入模式,头部旋转在使用快速弹道运动的能力或信息处理速率方面都不如手臂系统有效。
本研究的数据补充了霍夫曼综述中不同身体运动的关键ID的数据。这些数据还允许在有限显示区域和数据输入任务中头部控制运动难度的设计约束下,设计最佳的显示布局。