![]() We found that rotating between interventions increased effectiveness as measured by time on site, but also increased attrition: more users uninstalled HabitLab. We ran three in-the-wild field experiments on HabitLab to compare static interventions to rotated interventions. We built and deployed a browser extension called HabitLab, which features many interventions that the user can enable across social media and other web sites to control their time spent browsing. In this paper, we compare the effectiveness of static interventions to a rotation strategy, where users experience different interventions over time. However, static interventions decline in effectiveness over time as users begin to ignore them. These systems typically consist of a single static intervention, such as a timer or site blocker, to persuade users to behave in ways consistent with their stated goals. The study provides evidence that such methods can be used to understand the impact of technology on wellbeing.īehavior change systems help people manage their time online and achieve many other goals. We also contribute a mood detection model that utilise both digital footprints and lifestyle contexts, yielding an accuracy of 87%. A few lifestyle aspects, such as sleep quality and physical activity, had a significant relationship with positive moods. Results show that more frequent task-switching is associated with negative moods. Our study also investigates how lifestyle aspects (sleep quality, physical activity, workload, social interaction and alcoholic drink consumption) relate to mood, task-switching and productivity. We present methods for analysing the relationship between productivity, task-switching, mood and lifestyle, and more specifically how digital technology usage associates with productivity and task-switching. ![]() We then report a 16-month study in which we collected computer and smartphone usage and self-reports from 72 participants. We present an approach for investigating the relationship between lifestyle aspects and digital technology usage patterns that combines MindGauge, a mobile app enabling users collect and analyse their moods and behaviours, with a productivity tool (RescueTime). ![]() The relationships are complex, but users are increasingly interested in finding how to balance a digital life with psychological wellbeing. We discuss how tools could support developers with a better trade-off between the cost and value of workplace self-reflection and increase long-term engagement.ĭigital technology influences behaviours, moods and wellbeing. We also found that purposeful, continuous self-reflection not only increases developers' awareness about productive and unproductive work habits (84.5%), but also leads to positive self-improvements that increase developer productivity and well-being (79.6%). In our study, 52 professional software developers self-reflected about their work on a daily basis during two to three weeks, which resulted in a rich set of work habit goals and actionable strategies that developers pursue at work. We therefore designed a reflective goal-setting study to learn more about developers' goals and strategies to improve or maintain good habits at work. ![]() In several areas of life, such as the physical activity and health domain, self-reflection has been shown to be successful at increasing people's awareness about a problematic behavior, motivating them to define a self-improvement goal, and fostering goal-achievement. Software developers are generally interested in developing better habits to increase their workplace productivity and well-being, but have difficulties identifying concrete goals and actionable strategies to do so. ![]()
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