Personal informatics and negative emotions during commuter driving: Effects of data visualization on cardiovascular reactivity & mood
Personal informatics and negative emotions during commuter driving: Effects of data visualization on cardiovascular reactivity & mood
复制标题
DOI：
10.1016/j.ijhcs.2020.102499
复制
发表时间：
2020-12-01
影响因子：
5.4
通讯作者：
Dobbins, Chelsea
中科院分区：
文献类型：
--
作者：
Fairclough, Stephen H.;Dobbins, Chelsea
移动技术和可穿戴传感器可以为日常生活中的心理压力提供客观衡量。来自传感器的数据可以由用户可视化和查看，以提高自我意识并促进适应性应对策略。有效地自我调节负面情绪的能力可以缓解炎症的生物过程，这对长期健康有影响。两项研究利用移动生活日志平台收集了现实生活中通勤者驾驶一周的心血管数据。第一项研究旨在建立心血管炎症标志物与现实世界中通勤驾车时的愤怒体验之间的联系。结果表明，基于驾驶特征(如车速)和心血管心理生理学特征(心率、心率变异性、脉搏通过时间)的组合，集合分类模型对高愤怒发作与低愤怒发作的二次分类的准确率为73.12%。在第二项研究中，参与者与两天通勤驾驶(预测试)收集的车辆参数、照片和心血管心理生理学的互动、地理位置可视化进行了互动。随后，在他们与动态数据可视化(后测)交互后，在两天的驾驶时间内收集了数据。对测试前后数据的比较显示，在与数据可视化交互后，在旅程阻抗发作期间，心率显著降低。也有证据表明，心率变异性在测试后阶段增加，这表明迷走神经更活跃，适应能力更强。在每次旅行之前和之后都收集了主观情绪数据，但在测试前后没有观察到显著的统计学差异。讨论了这两项研究对动态监测、用户交互和个人信息学能力的影响，以增强长期健康。
Mobile technology and wearable sensors can provide objective measures of psychological stress in everyday life. Data from sensors can be visualized and viewed by the user to increase self-awareness and promote adaptive coping strategies. A capacity to effectively self-regulate negative emotion can mitigate the biological process of inflammation, which has implications for long-term health. Two studies were undertaken utilizing a mobile lifelogging platform to collect cardiovascular data over a week of real-life commuter driving. The first was designed to establish a link between cardiovascular markers of inflammation and the experience of anger during commuter driving in the real world. Results indicated that an ensemble classification model provided an accuracy rate of 73.12% for the binary classification of episodes of high vs. low anger based upon a combination of features derived from driving (e.g. vehicle speed) and cardiovascular psychophysiology (heart rate, heart rate variability, pulse transit time). During the second study, participants interacted with an interactive, geolocated visualisation of vehicle parameters, photographs and cardiovascular psychophysiology collected over two days of commuter driving (pre-test). Data were subsequently collected over two days of driving following their interaction with the dynamic, data visualization (post-test). A comparison of preand post-test data revealed that heart rate significantly reduced during episodes of journey impedance after interaction with the data visualization. There was also evidence that heart rate variability increased during the post-test phase, suggesting greater vagal activation and adaptive coping. Subjective mood data were collected before and after each journey, but no statistically significant differences were observed between preand post-test periods. The implications of both studies for ambulatory monitoring, user interaction and the capacity of personal informatics to enhance long-term health are discussed.