隨著經濟發展和社會結構轉變，高齡化社會已成為許多國家面臨的挑戰。在進行實地觀察和高齡者訪談後，了解許多高齡者受到肌少症等病情需要進行復健，但由於COVID-19疫情的限制而不敢前往醫院，導致身體狀況受到影響，也無法隨時與家人聯繫，逐漸產生孤立感和負面心理影響。此外，現行復健過程仰賴復健師的判斷和紙本記錄，使患者及家屬無法即時了解復健狀況，使得高齡者對前往醫院進行復健的意願逐漸降低。為了解決此問題，遠距醫療和智慧醫療的概念被提出。然而，現有的部分遠距復健醫療產品卻因高齡者在閱讀和操作不友善，甚至有些高齡者對新科技產品從無接觸或不願接觸。因此，設計一款使用簡單並讓高齡者有意願使用之遠距復健數據APP至關重要。本研究針對高齡使用者設計了一款查閱復健數據的Web APP。同時應用「涉入」理論，將高齡者對於健康數據應用程式的使用程度分為「高涉入」及「低涉入」兩群，探討兩群對於此應用程式之看法及差異，並採納各群之建議進行介面優化，使得此應用程式符合兩群之需求。首先，我們通過場域觀察、專家訪談和高齡者訪談，了解使用者需求，結合介面設計原則進行開發。在使用性測試中，我們使用問題詢問協議（Question Asking Protocol）進行前後測評估，衡量使用性的滿意度、效率性和錯誤率指標。通過質性和量化分析，來修正介面設計以及比對兩群之差異。研究結果顯示，高涉入程度的高齡者在操作介面上，不論使用何種裝置，其效率性和錯誤率皆優於低涉入程度的高齡者；在裝置方面，手機之使用性數據優於平板。而修正後之介面數據在涉入程度和裝置上與前測相比均顯著提升了使用性指標，使得高齡者更願意使用該應用程式。本研究最終提出適合高、低涉入之高齡者使用之健康數據介面，同時為後續高齡者應用程式開發參考，希望藉由本研究設計開發之Web APP介面導入高齡者復健訓練流程中，提升復健的意願和動機，實現復健過程的簡易化、數據化和可視化。

With economic development and social structure changes, the aging society has become challenging for many countries. After conducting field observations and interviews with the elders, we understand that many elders suffer from conditions such as sarcopenia and need rehabilitation. However, they are afraid to go to the hospital due to the restrictions of the COVID-19 epidemic, which affects their physical condition and prevents them from contacting their family members at any time, gradually creating isolation and adverse psychological effects. In addition, the current rehabilitation process relies on the judgment of the rehabilitation and paper records, which prevents the patients and their families from knowing the rehabilitation status immediately. It gradually decreases the willingness of the elders to go to the hospital for rehabilitation. To solve this problem, many companies propose telemedicine and intelligent healthcare. However, some existing telemedicine products are not user-friendly for the elders to read and operate, and some have never touched or are reluctant to handle the new technology products. Therefore, it is essential to design a telerehabilitation data app that is easy to use and willing to be used by the elders. In this study, we designed a Web APP for elderly users to access rehabilitation data and applied the "involvement" theory to classify the elderly's level of use of health data applications into two groups: "high involvement" and "low involvement," explored the perceptions and differences between these two groups, and adopted the suggestions of each group to optimize the interface to make the application meet the needs of these two groups. First, we conducted site observation, expert interviews, and senior interviews to understand the user requirements and combined them with the interface design principles for development. We used the Question Asking Protocol for pre- and post-test evaluation to measure the usability satisfaction, efficiency, and error rate indicators in the usability testing. Qualitative and quantitative analyses were conducted to revise the interface design and compare the two groups' differences. The study's results showed that the efficiency and error rate of the interface of the elders with a high level of involvement were better than those of the elders with a low level of involvement, regardless of the device they used. The usability data of the mobile was better than that of the tablet in terms of the device. In terms of device, the usability data of a mobile is better than that of a tablet, and the revised interface data significantly improves the usability indexes in terms of involvement level and device compared with the previous test, which makes the elders more willing to use the application. This study finally proposes a health data interface suitable for elders with high and low involvement levels and provides a reference for developing future applications for elders. We hope that the Web APP interface designed and developed in this study can be introduced into the rehabilitation training process of elders, increasing the rehabilitation's willingness and motivation and realizing the rehabilitation process's simplicity, digitization, and visualization.

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