Using the Intervention Mapping and Behavioral Intervention Technology Frameworks: Development of an mHealth Intervention for Physical Activity and Sedentary Behavior Change

Few interventions to promote physical activity (PA) adapt dynamically to changes in individuals' behavior. Interventions targeting determinants of behavior are linked with increased effectiveness and should reflect changes in behavior over time. This article describes the application of two frameworks to assist the development of an adaptive evidence-based smartphone-delivered intervention aimed at influencing PA and sedentary behaviors (SB). Intervention mapping was used to identify the determinants influencing uptake of PA and optimal behavior change techniques (BCTs). Behavioral intervention technology was used to translate and operationalize the BCTs and its modes of delivery. The intervention was based on the integrated behavior change model, focused on nine determinants, consisted of 33 BCTs, and included three main components: (1) automated capture of daily PA and SB via an existing smartphone application, (2) classification of the individual into an activity profile according to their PA and SB, and (3) behavior change content delivery in a dynamic fashion via a proof-of-concept application. This article illustrates how two complementary frameworks can be used to guide the development of a mobile health behavior change program. This approach can guide the development of future mHealth programs

Overview of the NTCIR-14 Lifelog-3 task

Lifelog-3 was the third instance of the lifelog task at NTCIR. At NTCIR-14, the Lifelog-3 task explored three different lifelog data access related challenges, the search challenge, the annotation challenge and the insights challenge. In this paper we review the activities of participating teams who took part in the challenges and we suggest next steps for the community

Overview of the NTCIR-16 Lifelog-4 Task

NTCIR-16 saw the fourth edition of the Lifelog task, which aimed to foster comparative benchmarking of approaches to automatic and interactive information retrieval from multimodal lifelog archives. In this paper, we describe the test collection employed, along with the tasks, the submissions and the findings from this NTCIR16 Lifelog-4 LEST sub-task. We finish by suggesting future plans for lifelog tasks

Bystander privacy in lifelogging

Lifelogging, a technique for digitally gathering every moment in life using wearable cameras, is a growing phenomenon. However, it is important to remember that in addition to recording their own lives, users are recording others as well, which raises privacy issues around lifelogging from a bystander’s perspective. This warrants conducting bystander-focused privacy studies in an uncontrolled environment, by reaping upon the experience of practitioners from multiple domains, but not limited to, urban science, sociology, privacy, usability, psychology, and law, to design such studies