A novel approach to improve the planning of adaptive and interactive sessions for the treatment of Major Depression

Abstract

Human Computer Interaction (HCI) is a research field which aims to improve the relationship between users and interactive computer systems. A main objective of this research area is to make the user experience more pleasant and efficient, minimizing the barrier between the users' cognition of what they want to accomplish and the computer's understanding of the user's tasks, by means of user-friendly, useful and usable designs. A bad HCI design is one of the main reasons behind user rejection of computer-based applications, which in turn produces loss of productivity and economy in industrial environments. In the eHealth domain, user rejection of computer-based systems is a major barrier to exploiting the maximum benefit from those applications developed to support the treatment of diseases, and in the worst cases a poor design in these systems may cause deterioration in the clinical condition of the patient. Thus,

Usability and acceptability assessment of an empathic virtual agent to prevent major depression

“…The functionalities of each component of the system ensure a continuous user‐adapted intervention, a key aspect to maximize the benefits that this type of interventions can produce in people with problems related to mental health. In a previous study, we performed a functional evaluation of the components through a set of simulations (Bresó et al ., 2016). In this study we present an initial evaluation about the perceived acceptability and usability involving 60 participants who answered a questionnaire after watching a set of pre‐recorded videos containing different interactive sessions.…”

“…This is especially important to make the user more receptive and promote an effective execution of the suggested activities and the disclosing of personal information such as thoughts and feelings. The use of empathic agents as the virtual peers of the user has been recently increased in applications to support change behaviour and in cyber‐psychology (Bresó et al ., 2016). One relevant aspect that these interactive interfaces should implement is the generation of a coherent and adequate emotional behaviour while interacting with the users.…”

Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure

“…In [100], the researchers developed a software for dengue prevention in Sri Lanka. Patients with major depression were treated by a method presented in [101], in which patients were allowed to obtain daily interactive sessions featuring personalised and adaptive, as well as continuous monitoring of patients with Parkinson's disease [102]. In [103], the researchers presented systems for personal coaching; the systems combines 'onbody sensing with smart reasoning and context-aware feedback'.…”

Fault-Tolerant mHealth Framework in the Context of IoT-Based Real-Time Wearable Health Data Sensors

“…The study of [65] presented a Mo-Buzz system using social media for preventing dengue in Sri Lanka and Southeast Asian regions. A treatment mechanism that provides personalised daily interactive sessions for patients with major depression according to the patient's history data, clinical requirement and current responses was presented in [66]. A coaching approach known as a personal coaching system was developed in [67] using body sensors that are integrated with smart reasoning and context-aware feedback to support patients' healthy behaviour.…”