Construction of an environment for cultivating adaptive problem-solving skills based on cognitive-behavioral science theory of action selection and memory

2023 Fiscal Year Final Research Report

• Project/Area Number: 20H04290
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Review Section: Basic Section 62020:Web informatics and service informatics-related
• Research Institution: Nagaoka University of Technology
• Principal Investigator: Kitajima Muneo 長岡技術科学大学, 工学研究科, 特任教授 (00344440)
• Co-Investigator(Kenkyū-buntansha): 李 昇姫 筑波大学, 芸術系, 准教授 (80259051)
• Project Period (FY): 2020-04-01 – 2024-03-31
• Keywords: 適応的問題解決 / 行動記録 / 振り返り学習 / 記憶強化

Outline of Final Research Achievements

We developed a prototype of the web application "Adaptive Problem Solving Behavior Reflection Learning System". As a result of a verification test using daily activities such as taking a walk, we confirmed that the system can perform retrospective learning by automatic scene recording every 30 seconds (passive recording) and manual recording for interesting scenes, and by playing back the recordings and adding text annotations after the activities are performed. During passive and active recording, speech was recognized and recorded as text, which made it possible to annotate efficiently to facilitate learning through the encountered events. It is expected that sharing annotated event records with others will contribute to improving the problem-solving abilities of people who may have similar experiences.

Free Research Field

認知科学

Academic Significance and Societal Importance of the Research Achievements

本研究では，適応的問題解決能力を備えていることが，今後、進展する知識基盤社会において豊かな生活を送る上で必須であると考え，それが日々の活動の中で自然に涵養される環境の構築を目指した．人々の日々の活動のなかで実行される問題解決行動を記録し，適応的問題解決が行われた行動シーンを抽出できるようにして，それを振り返り注釈をつけることによって記憶に定着させ，適応的問題解決能力を伸ばすことができるようにすることを狙った．この「行動計測・問題解決行動抽出・振り返りによる記憶強化」を，個々の生活動線にスムーズに統合して日々の実践として繰り返して行える環境をウェブアプリケーションとして構築した．