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首页> 外文期刊>International journal of human-computer studies >How do people tap when walking? An empirical investigation of nomadic data entry
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How do people tap when walking? An empirical investigation of nomadic data entry

机译：人们走路时如何轻敲？游牧数据录入的实证研究

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摘要

When mobile devices are used on the move, a user's limited visual resources are split between interacting with the mobile devices and maintaining awareness of the surrounding environment. In this study, we examined stylus-based tapping operations on a PDA under three mobility situations: seated, walking on a treadmill, and walking through an obstacle course. The results revealed that Fitts' Law continues to be effective even under the most challenging obstacle course condition. While target selection times did not differ between the various mobility conditions, overall task completion times, error rates, and several measures of workload differed significantly. Diminished performance under the obstacle course condition was attributed to increased demands on attention associated with navigating through the obstacle course. Results showed that the participants in the obstacle course condition were able to tap on a 6.4 mm-diameter target with 90% accuracy, but they reduced their walking speed by 36% and perceived an increased workload. Extending earlier research, we found that treadmill-based conditions were able to generate representative data for task selection times, but accuracy differed significantly from the more realistic obstacle course condition. (c) 2007 Elsevier Ltd. All rights reserved.
机译：当移动设备在旅途中使用时，用户有限的视觉资源会在与移动设备进行交互与保持对周围环境的意识之间分配。在这项研究中，我们研究了三种移动情况下PDA上基于触控笔的敲击操作：坐着，在跑步机上行走以及在障碍物路线上行走。结果表明，即使在最具挑战性的障碍路线条件下，菲茨定律仍然有效。虽然目标选择时间在各种移动条件之间没有差异，但总体任务完成时间，错误率和几种工作量度量差异很大。在障碍物路线情况下的性能下降归因于与通过障碍物路线相关的对注意力的需求增加。结果表明，处于障碍路线的参与者能够以90％的精度敲击6.4毫米直径的目标，但他们将步行速度降低了36％，并感到工作量增加。通过扩展先前的研究，我们发现基于跑步机的条件能够生成任务选择时间的代表性数据，但准确性与更现实的障碍路线条件有很大差异。 （c）2007 Elsevier Ltd.保留所有权利。

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