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 pre- and 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 pre- and 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.

移动技术和可穿戴传感器可以提供日常生活中心理压力的客观度量。用户可以可视化和查看来自传感器的数据，以增强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减轻炎症的生物学过程，这对长期健康具有影响。利用移动生命记录平台进行了两项研究，以在一周的现实通勤驾驶中收集心血管数据。第一个设计用于在现实世界中通勤驾驶时在炎症的心血管标志和愤怒体验之间建立联系。结果表明，集成分类模型对高与高发作的二进制分类提供了73.12％的准确率。基于来自驾驶（例如车速）和心血管心理生理（心率，心率变异性，脉搏传播时间）的特征的组合而产生的低怒。在第二项研究中，参与者与通勤驾驶两天（预测试）收集的车辆参数，照片和心血管心理生理学进行了互动的，地理位置定位的可视化交互。随后，在与动态的数据可视化（测试后）互动之后的两天内，收集了数据。测试前和测试后数据的比较显示，在与数据可视化交互后，在旅途阻抗发作期间心率显着降低。还有证据表明，在测试后阶段心率变异性增加，提示迷走神经激活和适应性应对能力增强。在每次旅行之前和之后都收集了主观情绪数据，但是在测试前和测试后之间没有观察到统计学上的显着差异。讨论了两项研究对动态监视，用户交互以及个人信息学增强长期健康的能力的影响。