Capturing Real-time Changes in Achievement Motivation: Developing an Utterance Analysis Method Based on Attribution Theory

2023 Fiscal Year Final Research Report

• Project/Area Number: 20K20257
• Research Category: Grant-in-Aid for Early-Career Scientists
• Allocation Type: Multi-year Fund
• Review Section: Basic Section 90150:Medical assistive technology-related
• Research Institution: Tokyo Institute of Technology
• Principal Investigator: Ohashi Takumi 東京工業大学, 環境・社会理工学院, 准教授 (20824551)
• Project Period (FY): 2020-04-01 – 2024-03-31
• Keywords: 原因帰属理論 / 支援機器 / 発話分析 / 高齢者介護 / 動機づけ / コミュニケーションモデル

Outline of Final Research Achievements

In this study, we established an utterance analysis method grounded in attribution theory to elucidate the interaction effects between caregivers and care recipients. Specifically, we developed a method to categorize utterances during the use of assistive devices into four categories: "effort," "ability," "luck," and "task difficulty," thereby enabling the assessment of changes in psychological state and motivation from natural utterances. Additionally, we classified caregiver utterances into four categories: "praise," "affirmation/acceptance," "confirmation," and "feedback," and analyzed the impact of each type of utterance on the motivation of care recipients. Consequently, we proposed an effective caregiver communication model to promote the sustained use of assistive devices.

Free Research Field

トランジションデザイン、人間中心デザイン、認知心理学

Academic Significance and Societal Importance of the Research Achievements

本研究は、帰属理論に基づく発話分析手法を確立し、高齢者の福祉デバイス利用時の介助者と被介助者のインタラクション効果を明らかにした。この成果は、被介助者の心理状態や動機の変化をリアルタイムで評価し、効果的な介助者の声掛けモデルを構築するための基盤となる。これにより、介護現場でのコミュニケーション手法の改善が期待され、高齢者の福祉デバイスの継続的な利用促進に寄与する。