隨著高齡化社會的來臨，以及科技產品的普及化，高齡化科技的發展亦隨之日益蓬勃。科技產品的優勢對於高齡者的生活帶來了便利，然而，老化帶來的身心變化使得許多高齡者使用科技產品仍遭遇限制。首先，必須有完善的評估機制針對身心能力變化異質性極高的高齡族群加以偵測其能力表現，以協助發展符合高齡者個別化身心需求的科技產品。考量目前仍缺乏針對高齡者介面使用相關之評估機制，本研究致力於發展一全面性任務導向之高齡使用者數位化介面能力評估系統。
經由文獻分析，本評估系統主要奠基於認知及動作介面使用能力兩大構面，針對目標性能力訂定合適的量測指標。經過維度縮減(dimension reduction)過程，確認關鍵性介面使用能力，作為日後簡化版評估系統之參考。本研究發展之高齡者使用者介面能力評估系統，經過五個版本修正與改良，以最終版本評估於135位50歲以上之健康高齡長者。經由集群分析(clustering)後的評估結果顯示此一系統足以呈現高齡族群在介面使用能力上之異質性。而年齡及科技產品使用經驗亦和介面使用能力顯著相關。費茲定律(Fitts’ law)對於高齡族群的介面點擊效率有一定的預測能力，同時和部分介面使用能力均呈現中度以上顯著相關，包含拖曳、短壓、功能配對、以及數字鍵入。本數位化評估系統及介面使用能力之架構將提供未來發展有效高齡者科技介面之參考，有助於提升高齡者於科技產品之使用者經驗，發展有效之高齡者科技互動設計產品。

This research developed a tool to evaluate the elderly’s user interface ability for the mobile interface use. The domain structure was also proposed including cognitive and motor domains initially, and modified to cover cognition, motor speed, attention, and motor accuracy after the factor analysis. After collecting 135 data from healthy elderly, the original system was used to investigate the variation of user interface ability in the elderly population. The prediction of age difference and technology use on the interface use behaviors were also examined. The application of the broadly used Fitts’ law in the elderly users was investigated as well. Finally, the possible dimension reduction was developed through clustering comparison and factor analysis. This system could provide future designers and researchers to develop the individualized interface in order to improve the usability and user experience in the elderly population. Future research can be conducted to investigate the possible application of outcome measure of interface use training through this evaluation system.

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