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Capturing sleep–wake cycles by using day-to-day smartphone touchscreen interactions

机译:使用日常智能手机触摸屏交互捕获睡眠唤醒周期

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Body movements drop with sleep, and this behavioural signature is widely exploited to infer sleep duration. However, a reduction in body movements may also occur in periods of intense cognitive activity, and the ubiquitous use of smartphones may capture these wakeful periods otherwise hidden in the standard measures of sleep. Here, we continuously captured the gross body movements using standard wrist-worn accelerometers to quantify sleep (actigraphy) and logged the timing of the day-to-day touchscreen events (‘tappigraphy’). Using these measures, we addressed how the gross body movements overlap with the cognitively engaging digital behaviour (from n = 79 individuals, accumulating ~1400 nights). We find that smartphone use was distributed across a broad spectrum of physical activity levels, but consistently peaked at rest. We estimated the putative sleep onset and wake-up times from the actigraphy data to find that these times were well correlated to the estimates from tappigraphy (R2 = 0.9 for sleep-onset time and wake-up time). However, actigraphy overestimated sleep as virtually all of the users used their phones during the putative sleep period. Interestingly, the probability of touches remained greater than zero for ~2 h after the putative sleep onset, and ~2 h before the putative wake-up time. Our findings suggest that touchscreen interactions are widely integrated into modern sleeping habits—surrounding both sleep onset and waking-up periods—yielding a new approach to measuring sleep. Smartphone interactions can be leveraged to update the behavioural signatures of sleep with these peculiarities of modern digital behaviour.
机译:身体运动睡眠下降,这种行为签名被广泛利用来推断睡眠持续时间。然而,在激烈的认知活动的时期也可能发生身体运动的减少,并且智能手机的无处不在的使用可能在睡眠标准测量中隐藏这些醒来的时期。在这里,我们不断使用标准腕带加速度计来量化睡眠(Actigraphy)并记录日常触摸屏活动('Taptigraphy')的时机。使用这些措施,我们解决了总体运动如何与认知的数字行为重叠(来自n = 79个人,积累〜1400夜)。我们发现智能手机使用广泛的体育活动水平分布,但在休息时一直达到顶峰。我们估计了来自戏法数据的推定睡眠发作和唤醒时间,以发现这些时间与来自Taptigraphy的估计(R2 = 0.9用于睡眠时间和唤醒时间)良好相关。然而,由于几乎所有用户在推定睡眠期间,所有用户都使用手机的倾斜睡眠。有趣的是,推定睡眠发作后,触摸的概率〜2小时仍然大于零,并且在推定唤醒时间之前〜2小时。我们的研究结果表明,触摸屏交互被广泛融入现代睡眠习惯 - 周围睡眠起来和醒来的时期 - 产生了一种测量睡眠的新方法。可以利用智能手机交互来更新睡眠的行为签名与现代数字行为的这些特性。

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