The IASO Self-Reporting System

Abstract

Mood swings are commonly observed phenomena among hospitalized patients. As a result, there has been a growing interest in developing solutions that can assist caregivers in acquiring a better understanding of patient mood states and behaviors. A key challenge resides in the need to not only monitor patients' mood state but also to try to influence it and regulate it. This article presents the IASO self-reporting system, a persuasive clinical mood tracking, and a management application for hospital patients. We describe the design process of the system, its technical implementation details, and key features. Unlike most earlier related studies, IASO incorporates the concept of mood-based adaptive art (MBAA) that triggers animated digital art clips with background sounds in response to patients' self-reported mood states, thus offering a tool for creative healing and mood enhancement. Our proposed solution empowers patients to gain more control over their wellbeing, regulates their moods and enables caregivers to receive timely feedback about potential mood swings and dangerous mood conditions.