A Quantitative Research for Determining the User Requirements for Developing a System to Detect Depression
Purpose: Smart apps and wearables devices are an increasingly used way in healthcare to monitor a range of functions associated with certain health conditions. Even if in the present there are some devices and applications developed, there is no sufficient evidence of the use of such wearables devices in the detection of some disorders such as depression. Thus, through this paper, we want to address this need and present a quantitative research to determine the user requirements for developing a smart device that can detect depression. Material and Methods: To determine the user requirements for developing a system to detect depression we developed a questionnaire which was applied to 205 participants. Results and conclusions: Such a system addressed to detect depression is of interest among the respondents. The most essential parameters to be monitored refer to sleep quality, level of stress, circadian rhythm, and heart rate. Also, the developed system should prioritize reliability, privacy, security, and ease of use.
A Quantitative Research for Determining the User Requirements for Developing a System to Assist People with Frailty
Frailty is a clinical syndrome prevalent among the older population, characterized by unintentional weight loss, exhaustion being associated with a decline in cognitive and physiological functions. Ambient Assisted Living can be used for coping through solutions based on smart devices that help older people to cope with frailty. In this paper, we present a quantitative research to determine the user requirements for developing a system to assist people with frailty.