With the widespread of smart devices, many healthcare applications which utilize the powerful sensors such as accelerometer, heart rate monitor, etc. and studies have been conducted in Europe and US to use information technology as a treatment of lifestyle diseases. Lifestyle diseases such as obesity and hypertension, as the name implies, are usually caused by improper lifestyles. As a treatment, it is necessary to review people's daily life pattern and lead them to a better lifestyle, which is called behavior change in the medical field. The existing systems are mainly developed as mobile applications due to the cost and information reachability. However, this approach has a problem with sending triggers for inducing behavior change. Therefore, more alternative approaches are needed to imporve the efficiency of digital interventions and both inducing behaivior change and maintaining the result.
In this thesis, we propose and an interacitve signage system, which actively talks to the passing persons to induce his/her behavioral changes through visual and auditory stimulation. We design our proposed system based on the Persuasive System Design (PSD) Model and the Behavior Change Support System (BCSS) Theory. To send triggers to users continuously without being interupted by notifications from other applications, we set the interactive signage in the daily action line of users and present information to users when they pass the signage. In order to make the system more persuasive, we pick up 8 features from the 28 feature list of PSD and describe how we apply them to our system.
Since this system does not exist in previous study, we believe it is necessary to investigate users reactions to the signage system, voice message fucntion and personal data collection. Therefore, we develop a prototype of the system without applying any features and cooperation of other smart devices. To investigate users reaction, we conducted a 3-week experiment. And based on the result, we updated our system and conducted an additional 1-week experiment. In this presentation, we describe the result and the conclusion we derived from the experiment.