Key words: Schizophrenia; illness self-management; mobile applications; technology

There is an urgent need to develop more effective interventions for psychotic disorders. Mobile Health solutions can address this emerging problem but needs more research. This study aims to present a new intervention and have some preliminary data about weCOPE. The sample is constituted by nine participants with a mean age of 38 years (±9.701), being 78% men, and with mean clinical follow-up time of 10 years. The intervention lasted eight weeks and was followed by each user's case manager. The data collection was carried out in two moments (before and after the application use), using six evaluation instruments: Recovery Assessment Scale, Empowerment Scale, General Self-Efficacy Scale, Social Support Satisfaction Scale, Personal and Social Performance Scale, and Positive and Negative Syndrome Scale. The data collected through these instruments were analyzed later through descriptive and inferential statistics. The majority of the results were significant and indicate that weCOPE may produce an improvement in symptoms (general psychopathology), empowerment, recovery, satisfaction with social support, self-efficacy, and personal and social functioning. Thus, this kind of mobile technologies for schizophrenia self-management may contribute to a subjective perception of the patient's better well-being and health condition.

This paper presents an undertaken research work about the development of an Adaptive Tourism Modeling System which attempts to correctly model a tourism Web application user profile. This paper will follow the methodology used behind the concept of the application, `User Modeling as a process', which consists of three specific modules in order to achieve a clear user modeling technology. The user representation module devises a collection of knowledge representation formalisms that co-exist in order to constitute the system's view of the user; the user reasoning module is responsible for the execution of several inference tasks as well as the generation of possibly new and valuable information about the user, using the latter module. The user concept that comes out of these two modules will ultimately be used by various kinds of application-level systems, namely a recommender system, therefore instantiating a project-dependent third module.