Smartphone apps usage patterns as a predictor of perceived stress levels at workplace

Explosion of number of smartphone apps and their diversity has created a fertile ground to study behaviour of smartphone users. Patterns of app usage, specifically types of apps and their duration are influenced by the state of the user and this information can be correlated with the self-reported state of the users. The work in this paper is along the line of understanding patterns of app usage and investigating relationship of these patterns with the perceived stress level within the workplace context. Our results show that using a subject-centric behaviour model we can predict stress levels based on smartphone app usage. The results we have achieved, of average accuracy of 75% and precision of 85.7%, can be used as an indicator of overall stress levels in work environments and in turn inform stress reduction organisational policies, especially when considering interrelation between stress and productivity of workers

Mobile health technology to promote physical activity in a workplace setting: A mixed methods pilot study in the police force

As work roles become more sedentary, new interventions to promote physical activity (PA) and reduce sedentary behaviour (SB) are required. Mobile health (mHealth) technology (including wearable activity monitors and smartphone apps) is increasingly popular, low cost and accessible. The project consisted of a systematic review of the existing evidence for mHealth interventions for PA and SB in workplace settings, followed by a real-world pre-post pilot study of a specific mHealth intervention in the police force (the Physical Activity Wearables in the Police Force, or PAW-Force study). The review findings indicated that mHealth is a potentially effective, feasible and acceptable tool for promoting PA in a workplace context, at least in the short term. The longer-term impact and acceptability, and the impact on SB and wider outcomes (such as health, wellbeing and productivity) were less clear. The methodological quality of many existing studies was low and there were few mixed methods and qualitative studies. The study aims were to address the evidence gaps identified in the review, including the use of mixed methods, a detailed exploration of feasibility, acceptability and engagement in both the short- and longer-term, in addition to the impact on PA, sedentary time, health and wellbeing, perceived stress, perceived productivity and sickness absence. This was the first known study of an mHealth intervention for PA and SB in the police force. Police officers and staff (n = 180) within the Devon and Cornwall and Dorset Police received a 12-week intervention (a Fitbit® activity monitor and ‘Bupa Boost’ smartphone app) with 8 months follow-up. The results suggested a potential short- and long-term impact of the intervention on PA, particularly for less active officers and staff. Although the intervention was perceived as acceptable and feasible at various organisational levels, the findings highlighted the importance of contextual factors and opportunity, particularly for reducing SB. As in previous studies in other workplace settings, the impact on health, wellbeing, stress, productivity and sickness absence was unclear. The fields of workplace wellness, mHealth and behaviour change are brought together in this PhD. The findings will inform future interventions in addition to policy and practice in the police force

Can wearable devices reduce burnout by making people aware of stress?

Wearable fitness technology is advancing in its capabilities. Every new sensor collects new health data, and it becomes important to study how effectively this data can be utilized to help people lead healthier lives. The American Psychological Association found that Americans live with stress levels higher than what is considered healthy. Poorly managed stress can lead to burnout, which leads to unproductive workers. Burnout is known to cost businesses considerable money. The goal of this research study was to determine if burnout could be reduced through the use of a consumer wearable device along with smartphone apps that alerted wearers of their stress levels. Thirteen undergraduate students served as research subjects. They each used a wearable fitness band in conjunction with two Android mobile applications that enabled continuous stress monitoring. The data collected from the students was analyzed using a mixed methodology. The results suggested that the experiment was effective in making students more aware of their stress levels. Larger studies are recommended to determine if similar results would be realized

A Longitudinal, Randomized and Controlled Study of App-Delivered Mindfulness in the Workplace

Introduction: Workplace mindfulness meditation programs are of great interest for improving employee well-being and job performance, fueled in part by the apparent effectiveness of mindfulness meditation as well as by the recent proliferation of mobile mindfulness applications (apps) that can be incorporated into a workplace setting. It is critical to examine the facilitators and barriers to engaging with app-delivered mindfulness in the workplace to understand how biological, psychological, and socio-demographic variables impact practice time. Methods: Using a longitudinal and randomized controlled design, we explored facilitators of and barriers to practicing app-delivered mindfulness in the workplace among predominately non-white call center employees. Mindfulness engagement was operationalized as practice time during a prescriptive study period as well as during the entire 1-year duration of the app subscription. In addition, we made preliminary estimates of the impact of app-delivered mindfulness, compared to wait-list open relaxation, on job performance, negative symptoms, well-being, and social connectedness. Results: Employee C-reactive protein levels were positively correlated with subsequent meditation practice time. Employees who reported wanting to use the app to manage stress were most likely to use it, and women practiced significantly more than men. No other psychological resources were significantly correlated with practice time. Employees randomized to mindfulness had a significant increase in self-reported mindfulness scores, but did not have significant improvements in any other psychological or performance domains. Conclusion: Together these data expand what is known about engagement with, and impact of, mindfulness on a population that is under-represented in the research on mindfulness meditation

Mindfulness on-the-go: Effects of a mindfulness meditation app on work stress and well-being

We investigated whether a mindfulness meditation program delivered via a smartphone application could improve psychological well-being, reduce job strain, and reduce ambulatory blood pressure during the workday. Participants were 238 healthy employees from two large United Kingdom companies that were randomized to a mindfulness meditation practice app or a wait-list control condition. The app offered 45 prerecorded 10- to 20-min guided audio meditations. Participants were asked to complete one meditation per day. Psychosocial measures and blood pressure throughout one working day were measured at baseline and eight weeks later; a follow-up survey was also emailed to participants 16 weeks after the intervention start. Usage data showed that during the 8-week intervention period, participants randomized to the intervention completed an average of 17 meditation sessions (range 0-45 sessions). The intervention group reported significant improvement in well-being, distress, job strain, and perceptions of workplace social support compared to the control group. In addition, the intervention group had a marginally significant decrease in self-measured workday systolic blood pressure from pre- to post-intervention. Sustained positive effects in the intervention group were found for well-being and job strain at the 16-week follow-up assessment. This trial suggests that short guided mindfulness meditations delivered via smartphone and practiced multiple times per week can improve outcomes related to work stress and well-being, with potentially lasting effects

Analysis and design of individual information systems to support health behavior change

As a wide-ranging socio-technical transformation, the digitalization has significantly influenced the world, bringing opportunities and challenges to our lives. Despite numerous benefits like the possibility to stay connected with people around the world, the increasing dispersion and use of digital technologies and media (DTM) pose risks to individuals’ well-being and health. Rising demands emerging from the digital world have been linked to digital stress, that is, stress directly or indirectly resulting from DTM (Ayyagari et al. 2011; Ragu-Nathan et al. 2008; Tarafdar et al. 2019; Weil and Rosen 1997), potentially intensifying individuals’ overall exposure to stress. Individuals experiencing this adverse consequence of digitalization are at elevated risk of developing severe mental health impairments (Alhassan et al. 2018; Haidt and Allen 2020; Scott et al. 2017), which is why various scholars emphasize that research should place a stronger focus on analyzing and shaping the role of the individual in a digital world, pursuing instrumental as well as humanistic objectives (Ameen et al. 2021; Baskerville 2011b). Information Systems (IS) research has long placed emphasis on the use of information and communication technology (ICT) in organizations, viewing an information system as the socio-technical system that emerges from individuals’ interaction with DTM in organizations. However, socio-technical information systems, as the essence of the IS discipline (Lee 2004; Sarker et al. 2019), are also present in different social contexts from private life. Acknowledging the increasing private use of DTM, such as smartphones and social networks, IS scholars have recently intensified their efforts to understand the human factor of IS (Avison and Fitzgerald 1991; Turel et al. 2021). A framework recently proposed by Matt et al. (2019) suggests three research angles: analyzing individuals’ behavior associated with their DTM use, analyzing what consequences arise from their DTM use behavior, and designing new technologies that promote positive or mitigate negative effects of individuals’ DTM use. Various recent studies suggest that individuals’ behavior seems to be an important lever influencing the outcomes of their DTM use (Salo et al. 2017; Salo et al. 2020; Weinstein et al. 2016). Therefore, this dissertation aims to contribute to IS research targeting the facilitation of a healthy DTM use behavior. It explores the use behavior, consequences, and design of DTM for individuals' use with the objective to deliver humanistic value by increasing individuals' health through supporting a behavior change related to their DTM use. The dissertation combines behavioral science and design science perspectives and applies pluralistic methodological approaches from qualitative (e.g., interviews, prototyping) and quantitative research (e.g., survey research, field studies), including mixed-methods approaches mixing both. Following the framework from Matt et al. (2019), the dissertation takes three perspectives therein: analyzing individuals’ behavior, analyzing individuals’ responses to consequences of DTM use, and designing information systems assisting DTM users. First, the dissertation presents new descriptive knowledge on individuals’ behavior related to their use of DTM. Specifically, it investigates how individuals behave when interacting with DTM, why they behave the way they do, and how their behavior can be influenced. Today, a variety of digital workplace technologies offer employees different ways of pursuing their goals or performing their tasks (Köffer 2015). As a result, individuals exhibit different behaviors when interacting with these technologies. The dissertation analyzes what interactional roles DTM users can take at the digital workplace and what may influence their behavior. It uses a mixed-methods approach and combines a quantitative study building on trace data from a popular digital workplace suite and qualitative interviews with users of this digital workplace suite. The empirical analysis yields eight user roles that advance the understanding of users’ behavior at the digital workplace and first insights into what factors may influence this behavior. A second study adds another perspective and investigates how habitual behavior can be changed by means of DTM design elements. Real-time feedback has been discussed as a promising way to do so (Schibuola et al. 2016; Weinmann et al. 2016). In a field experiment, employees working at the digital workplace are provided with an external display that presents real-time feedback on their office’s indoor environmental quality. The experiment examines if and to what extent the feedback influences their ventilation behavior to understand the effect of feedback as a means of influencing individuals’ behavior. The results suggest that real-time feedback can effectively alter individuals’ behavior, yet the feedback’s effectiveness reduces over time, possibly as a result of habituation to the feedback. Second, the dissertation presents new descriptive and prescriptive knowledge on individuals’ ways to mitigate adverse consequences arising from the digitalization of individuals. A frequently discussed consequence that digitalization has on individuals is digital stress. Although research efforts strive to determine what measures individuals can take to effectively cope with digital stress (Salo et al. 2017; Salo et al. 2020; Weinert 2018), further understanding of individuals’ coping behavior is needed (Weinert 2018). A group at high risk of suffering from the adverse effects of digital stress is adolescents because they grow up using DTM daily and are still developing their identity, acquiring mental strength, and adopting essential social skills. To facilitate a healthy DTM use, the dissertation explores what strategies adolescents use to cope with the demands of their DTM use. Combining a qualitative and a quantitative study, it presents 30 coping responses used by adolescents, develops five factors underlying adolescents’ activation of coping responses, and identifies gender- and age-related differences in their coping behavior. Third, the dissertation presents new prescriptive knowledge on the design of individual information systems supporting individuals in understanding and mitigating their perceived stress. Facilitated by the sensing capabilities of modern mobile devices, it explores the design and development of mobile systems that assess stress and support individuals in coping with stress by initiating a change of stress-related behavior. Since there is currently limited understanding of how to develop such systems, this dissertation explores various facets of their design and development. As a first step, it presents the development of a prototype aiming for life-integrated stress assessment, that is, the mobile sensor-based assessment of an individual’s stress without interfering with their daily routines. Data collected with the prototype yields a stress model relating sensor data to individuals’ perception of stress. To deliver a more generalized perspective on mobile stress assessment, the dissertation further presents a literature- and experience-based design theory comprising a design blueprint, design requirements, design principles, design features, and a discussion of potentially required trade-offs. Mobile stress assessment may be used for the development of mobile coping assistants. Aiming to assist individuals in effectively coping with stress and preventing future stress, a mobile coping assistant should recommend adequate coping strategies to the stressed individual in real-time or execute targeted actions within a defined scope of action automatically. While the implementation of a mobile coping assistant is yet up to future research, the dissertation presents an abstract design and algorithm for selecting appropriate coping strategies. To sum up, this dissertation contributes new knowledge on the digitalization of individuals to the IS knowledge bases, expanding both descriptive and prescriptive knowledge. Through the combination of diverse methodological approaches, it delivers knowledge on individuals’ behavior when using DTM, on the mitigation of consequences that may arise from individuals’ use of DTM, and on the design of individual information systems with the goal of facilitating a behavior change, specifically, regarding individuals’ coping with stress. Overall, the research contained in this dissertation may promote the development of digital assistants that support individuals’ in adopting a healthy DTM use behavior and thereby contribute to shaping a socio-technical environment that creates more benefit than harm for all individuals

Smartphone-Based Self-Assessment of Stress in Healthy Adult Individuals:A Systematic Review

BACKGROUND: Stress is a common experience in today’s society. Smartphone ownership is widespread, and smartphones can be used to monitor health and well-being. Smartphone-based self-assessment of stress can be done in naturalistic settings and may potentially reflect real-time stress level. OBJECTIVE: The objectives of this systematic review were to evaluate (1) the use of smartphones to measure self-assessed stress in healthy adult individuals, (2) the validity of smartphone-based self-assessed stress compared with validated stress scales, and (3) the association between smartphone-based self-assessed stress and smartphone generated objective data. METHODS: A systematic review of the scientific literature was reported and conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) statement. The scientific databases PubMed, PsycINFO, Embase, IEEE, and ACM were searched and supplemented by a hand search of reference lists. The databases were searched for original studies involving healthy individuals older than 18 years, measuring self-assessed stress using smartphones. RESULTS: A total of 35 published articles comprising 1464 individuals were included for review. According to the objectives, (1) study designs were heterogeneous, and smartphone-based self-assessed stress was measured using various methods (e.g., dichotomized questions on stress, yes or no; Likert scales on stress; and questionnaires); (2) the validity of smartphone-based self-assessed stress compared with validated stress scales was investigated in 3 studies, and of these, only 1 study found a moderate statistically significant positive correlation (r=.4; P<.05); and (3) in exploratory analyses, smartphone-based self-assessed stress was found to correlate with some of the reported smartphone generated objective data, including voice features and data on activity and phone usage. CONCLUSIONS: Smartphones are being used to measure self-assessed stress in different contexts. The evidence of the validity of smartphone-based self-assessed stress is limited and should be investigated further. Smartphone generated objective data can potentially be used to monitor, predict, and reduce stress levels

Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area

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