Accurate Reaction Times on Smartphones: The Challenges of Developing a Mobile Psychomotor Vigilance Task

Mel Arthurs, J. J. Veiga, T. Ward
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引用次数: 1

Abstract

The mobile psychomotor vigilance task (PVT) has been found to be a valid predictor of cognitive fatigue. However, absolute reaction time (RT) recorded by mobile PVT is inaccurate. This is concerning as participant RTs are used in the analysis of PVT results. This paper aims to characterise this problem and assess the margin of error across common iOS software frameworks. A novel Arduino test instrument was developed to simulate a user’s reaction, providing a ground truth for the RT. We found in our experiments that there is between a 29.57% and 48.58% increase over the ground truth RT in the iOS implementations tested. These are significant overestimations that will affect the validity of the outcome metrics for any mobile PVT study participants.
智能手机上的准确反应时间:开发移动精神运动警戒任务的挑战
运动精神运动警觉性任务(PVT)是认知疲劳的有效预测指标。然而,移动PVT记录的绝对反应时间(RT)是不准确的。这一点值得关注,因为参与者RTs被用于分析PVT结果。本文旨在描述这一问题,并评估常见iOS软件框架的误差范围。我们开发了一种新颖的Arduino测试仪器来模拟用户的反应,为RT提供了一个接地真值。我们在实验中发现,在测试的iOS实现中,接地真值RT增加了29.57%到48.58%。这些都是显著的高估,将影响任何移动PVT研究参与者的结果指标的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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