以解構式計畫行為理論評估輕度認知障礙長者參與樂智AI桌遊的行為意圖

Applying Decomposed Theory of Planned Behavior on older adults with mild cognitive impairment behavior intent of using Robot-assisted Board Games

前言：具有互動技術輔助培訓工具可以改善患有輕度認知障礙（MCI）長者的健康結果。本研究以解構式計畫行為理論，評估影響機構內MCI的長者使用基於人工智慧桌遊的因素。
方法：以雙北市日照中心或長照據點65歲以上輕度認知障礙的長者為收案對象，進行12次樂智AI桌遊後以質性訪談方式評估行為意圖。
結果與討論：本研究共收集10份問卷經統計與質性分析，資料顯示參與者的評價非常好，且未來使用樂智AI桌遊意圖高。這項研究的結果支持基於互動式人工智慧的桌遊能引起機構內認知障礙長者的使用意願，參加者對樂智AI桌遊的評價非常好。建議長期護理機構的管理人員可以運用解構式行為計畫理論去評估相關介入措施是否能吸引輕度認知障礙的長者參與，才能有效達到介入措施的成效，以協助健康促進計劃。

Introduction: A technology-assisted training tool with interactive features may improve the health outcomes of older adults with mild cognitive impairment (MCI). This study uses the deconstructive planned behavior theory to evaluate the factors that influence the use of Robot-assisted Board Games among the elderly with MCI in the institution.
Methods: Older adults with MCI in Taipei or New Taipei City long-term care facilities were selected as the subjects. After playing 12-times of Robot-assisted Board Games, behavioral intentions were assessed through qualitative interviews.
Results and Discussion: This study collected a total of 10 questionnaires and conducted statistical and qualitative analysis. The findings of this study suppor that participants’evaluations were very good and they had high intentions of using Robot-assisted Board Games in the future. The results of this study support that interactive Robot-assisted Board Games can arouse the willingness to use the cognitively impaired older adults in institutions, and participants rated the Robot-assisted Board Games very well. It is suggested that administration of long-term care facilities can use Decomposed Theory of Planned Behavior to evaluate whether relevant intervention measures can attract the participation of older adults with MCI, so as to effectively achieve the effectiveness of intervention measures and assist in health promotion programs.