Highlighted projects

Navigation design: a local navigation model focusing on potential cultural tourism resources


In urban spaces and regional areas, attractive sightseeing spots (potential cultural tourism resources), that has been unknown by the general tourists but are worth visiting, are unevenly distributed across the city. This study aims to clarify the effective methods for guiding these potential cultural tourism resources and uses them for the design of attractive recreation such as regional exploration or city walking and experiential learning such as historical archeological discoveries. In the study, we are conducting empirical research to extract patterns that motivate visitors to the target spots, predict the inducing effect from the combination of these patterns, and clarify the effect.



A smart environment for mental health measurements that enable early preventive intervention


According to the World Health Organization (WHO) , depression is a common illness worldwide, with more than 264 million people affected. An increasing number of people are having difficulty studying or working due to mental illness or depression. By providing preventive interventions to these people, we would like to screen people who have signs of upset at an early stage and reduce the risk of serious upset. In this study, we extract a situation model that is positioned as a sign of problem occurrence, propose a minimum smart environment that obtains clues about mental health problems based on the model, and evaluate its usefulness.