Navigation design: a local navigation model focusing on potential cultural tourism resources
潜在的文化観光資源に注目したローカルナビゲーション・モデルの抽出
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.
都市空間や地域エリアには，人々の注目が及ばないものの訪れる価値がある魅力的なスポット（潜在的観光文化資源）が偏在している．本研究は，これらの潜在的観光文化資源への誘導に有効な手法を明らかにし，これを観光ツーリズム，地域探訪・街歩き等のリクリエーションや体験学習の設計に役立てることである．研究ではターゲットとするスポットへの訪問を動機づけるパタンを抽出し，これらのパタンの組合せから誘導効果を予測し，その効果を明らかにするための実証的研究を行っている．
A smart environment for mental health measurements that enable early preventive intervention
早期予防的介入を実現するメンタルヘルス対策のためのスマート環境
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.
メンタル面の不調やうつ病が原因で修学・就労の困難を抱える人々が増えている．こうした人々への予防的介入を行うことで，不調に陥る予兆がある対象者を早期にスクリーニングし，重篤な不調へ陥るリスクを低減したい．本研究では，問題発生の予兆と位置付けられる状況モデルを抽出し，モデルに基づいてメンタルヘルス上の問題発生の手がかり情報を獲得する最低限のスマート環境を提案すると共にその有用性を評価する．