Activity Recoginition and Inner State Estimation for Tourist

2018 Fiscal Year Final Research Report

• Project/Area Number: 16K00134
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Information network
• Research Institution: Toyama Prefectural University
• Principal Investigator: Iwamoto Takeshi 富山県立大学, 工学部, 准教授 (40553136)
• Project Period (FY): 2016-04-01 – 2019-03-31
• Keywords: 行動変容

Outline of Final Research Achievements

We considered a method which selects the contents focusing on the user’s behavior change in order to solve this problem. Moreover, we guess the content which induces the behavior change differs depending on the user. Thus, we needed to clarify that user’s attributes are correlated with activities on the sightseeing application. In this study, we clarified the difference that the Child App induced the behavior change by user’s
attributes. As a result, we clarified the statistically significant relationship exists that some of user’s attributes are correlated with each content.

Free Research Field

ユビキタスコンピューティング

Academic Significance and Societal Importance of the Research Achievements

行動変容の分野において、人の属性が与える影響について検証した。特に観光分野での行動変容は十分に研究されておらず、この知見をもちいることで、今後の観光施策等に活用できると考えられる。
また、内面状態について、２つのユースケースにおいて、スマートフォン等のセンサを用いた簡易な方法で内面状態の収集手法を検討することができた。