Background: Self-help eHealth interventions are generally less effective than human-
supported ones, as they suffer from a low level of adherence. Nevertheless, self-help …

Background: Self-help eHealth interventions are generally less effective than human-
supported ones, as they suffer from a low level of adherence. Nevertheless, self-help …

Abstract eHealth lifestyle interventions without human support (self-help interventions) are
generally less effective, as they suffer from lower adherence levels. To solve this, we …

Background Despite many health benefits of physical activity, nearly a third of the world's
adult population is insufficiently active. Technological interventions, such as mobile apps …

Background: Relational agents (RAs) are electronic computational figures designed to
engage participants in the change process. A recent study, Project RAISE, tested the …

Background Despite many advantages of web-based health behavior interventions such as
wide accessibility or low costs, these interventions are often accompanied by high attrition …

Background The combination of self-tracking and persuasive eCoaching in automated
interventions is a new and promising approach for healthy lifestyle management. Objective …

Background eHealth interventions show stronger effects when informed by solid behavioral
change theories; for example, self-regulation models supporting people in translating vague …

Background eHealth interventions have the potential to increase the physical activity of
users. However, their effectiveness varies, and they often have only short-term effects. A …

Background: Web-based interventions are popular for promoting healthy lifestyles such as
physical activity. However, little is known about user characteristics, adherence, attrition, and …