Abstract
The market for mobile health applications is growing rapidly, but few of these applications are based on evidence-based guidelines. In the case of chronic low back pain, some studies have attempted to identify user needs in order to propose recommendations for the design of digital interventions. However, the specification of human-machine interactions adapted to these needs is poorly described. In this study, we propose a participatory design approach for the design of a mobile application to support self-management of low back pain. We present the results of qualitative and quantitative methods to identify patients' needs and specify the associated human-machine interactions. Then we present the results of workshops conducted with patients in order to validate the human-machine interactions adapted to the previously identified needs. Finally, we propose several recommendations for the design of a mobile application for self-management of chronic low back pain.
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