Introduction: Many adults do not reach the recommended physical activity (PA) guidelines, which can lead to serious health problems. A promising method to increase PA is the use of smartphone PA applications. However, despite the development and evaluation of multiple PA apps, it remains unclear how to develop and design engaging and effective PA apps. Furthermore, little is known on ways to harness the potential of artificial intelligence for developing personalized apps. In this paper, we describe the design and development of the Playful data-driven Active Urban Living (PAUL): a personalized PA application.Methods: The two-phased development process of the PAUL apps rests on principles from the behavior change model; the Integrate, Design, Assess, and Share (IDEAS) framework; and the behavioral intervention technology (BIT) model. During the first phase, we explored whether location-specific information on performing PA in the built environment is an enhancement to a PA app. During the second phase, the other modules of the app were developed. To this end, we first build the theoretical foundation for the PAUL intervention by performing a literature study. Next, a focus group study was performed to translate the theoretical foundations and the needs and wishes in a set of user requirements. Since the participants indicated the need for reminders at a for-them-relevant moment, we developed a self-learning module for the timing of the reminders. To initialize this module, a data-mining study was performed with historical running data to determine good situations for running.Results: The results of these studies informed the design of a personalized mobile health (mHealth) application for running, walking, and performing strength exercises. The app is implemented as a set of modules based on the persuasive strategies “monitoring of behavior,” “feedback,” “goal setting,” “reminders,” “rewards,” and “providing instruction.” An architecture was set up consisting of a smartphone app for the user, a back-end server for storage and adaptivity, and a research portal to provide access to the research team.Conclusions: The interdisciplinary research encompassing psychology, human movement sciences, computer science, and artificial intelligence has led to a theoretically and empirically driven leisure time PA application. In the current phase, the feasibility of the PAUL app is being assessed.
Introduction: Nursing students will come across stressful situations during their internships and will continue to do so in future practice. Because of the impact stress can have on performance, nursing students need to be equipped to work and collaborate in such situations. Careful consideration of the needs and desires of nursing students should be taken in account, in order to create a training environment that fosters students' ability to learn to collaborate under stress. Aim: The aim of this study is to identify viewpoints of undergraduate nursing students towards the learning of collaboration in stressful situations, to understand their needs and desires, and to improve educational designs for training to collaborate in stressful situations. Methods: We conducted a Q-methodology study, a mixed methods approach that studies and charts subjectivity, and uses a by-person factor analytical procedure to create profiles of shared viewpoints. The process of our Q-study is based on the following five steps: Q-set development (54 statements), participant selection (n = 29), Q-sorting procedure, data analysis, and factor interpretation. Results: Q-factor analysis resulted in two prevailing factors that answer our research question. Twenty-five students loaded on these two factors, and factor interpretation resulted in Profile 1 “Practice makes perfect, so let's do it” and Profile 2 “Practice is needed, but it scares me”. Whereas Profile 1 regarded learning to collaborate in stress mainly as a challenge, Profile 2 appeared anxious despite feeling the necessity to learn this. An overarching consensus factor revealed the importance of a learning environment in which mistakes can be made. Discussion: The two described profiles align with the biopsychosocial model of challenge and threat, and could help to recognize and address the individual needs of nursing students when learning to collaborate in stressful situations. Incorporating these profiles in training may guide students towards a more challenge-like appraisal of stressful situations.
Background and aim – The aim of this paper is present how applicationof the innovative Indoor Comfort Index (ICI) method reveal the actualindoor environmental quality (IEQ) and the perceived IEQ and itsinfluence on office workers productivity. Application of this tool in a preand post-test after an office refurbishment, will reveal the effectivenessof this intervention. The development and application of this tool,emerged from education and research in facility management, led to aspin-off consultancy firm Vital Workplace.Methods – Actual measurements of the IEQ conditions, combined with users’ perceptions of the IEQ,before and after an office refurbishment, reveals the effectiveness of a refurbishment by analysing thedifferences between the pre and post-test with multiple statistical analyses.Results – Regarding the IEQ, the ICI reveals not only the actual performance of an office building, alsoif improved conditions contribute to improved comfort of office workers. In addition, the possibleinfluence of the IEQ on office workers productivity is revealed. This allows facility managers to determineand improve the alignment of environment quality with workers’ activities and performance.Originality – The tool combines actual and perceived environmental quality at office buildings.Practical or social implications – Education and research can be used to create spin-offs in facilitymanagement. The developed tool can be used to diagnose the current state of the office, a basis fordiscussion on related improvements, and by doing so, for a cost-benefit analyses of design interventionsat organizations. Showing if design impact on users outweigh the costs of real estate, refurbishment,and changes in operations.Type of paper – Research paper.
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