背景:老年人吃腐烂的水果和食物中毒的风险更大,因为他们的认知功能随着年龄的增长而下降,很难区分腐烂的水果。为了解决这个问题,研究人员开发并评估了各种工具,以各种方式检测腐烂的食物。然而,很少有人知道如何创建一个应用程序来检测腐烂的食物,以支持老年人吃腐烂的食物有健康问题的风险。
目的:这项研究旨在(1)创建一个智能手机应用程序,使老年人能够用相机拍摄食物,并将水果分类为腐烂或不腐烂的老年人和(2)评估应用程序的可用性和老年人对应用程序的看法。
方法:我们开发了一个智能手机应用程序,该应用程序支持老年人确定本研究选择的3种水果(苹果,香蕉,和橙色)足够新鲜吃。我们使用了几个剩余深度网络来检查收集到的水果照片是否为新鲜水果。我们招募了65岁以上的健康老年人(n=15,57.7%,男性,n=11,42.3%,女性)作为参与者。我们通过调查和访谈评估了应用程序的可用性和参与者对应用程序的看法。我们分析了调查结果,包括事后调查问卷,作为应用程序可用性的评价指标,并从受访者那里收集定性数据,对调查答复进行深入分析。
结果:参与者对使用应用程序通过拍摄水果照片来确定水果是否新鲜感到满意,但不愿意使用付费版本的应用程序。调查结果显示,参与者倾向于有效地使用该应用程序拍摄水果并确定其新鲜度。对应用程序可用性和参与者对应用程序的看法的定性数据分析表明,他们发现应用程序简单易用,他们拍照没有困难,他们发现应用程序界面在视觉上令人满意。
结论:这项研究表明开发一款支持老年人有效和高效地识别腐烂食品的应用程序的可能性。未来的工作,使应用程序区分各种食品的新鲜度,而不是选择的3个水果仍然存在。
BACKGROUND: Older adults are at greater risk of eating rotten fruits and of getting food poisoning because cognitive function declines as they age, making it difficult to distinguish rotten fruits. To address this problem, researchers have developed and evaluated various tools to detect rotten food items in various ways. Nevertheless, little is known about how to create an app to detect rotten food items to support older adults at a risk of health problems from eating rotten food items.
OBJECTIVE: This study aimed to (1) create a smartphone app that enables older adults to take a picture of food items with a
camera and classifies the fruit as rotten or not rotten for older adults and (2) evaluate the usability of the app and the perceptions of older adults about the app.
METHODS: We developed a smartphone app that supports older adults in determining whether the 3 fruits selected for this study (apple, banana, and orange) were fresh enough to eat. We used several residual deep networks to check whether the fruit photos collected were of fresh fruit. We recruited healthy older adults aged over 65 years (n=15, 57.7%, males and n=11, 42.3%, females) as participants. We evaluated the usability of the app and the participants\' perceptions about the app through surveys and interviews. We analyzed the survey responses, including an after-scenario questionnaire, as evaluation indicators of the usability of the app and collected qualitative data from the interviewees for in-depth analysis of the survey responses.
RESULTS: The participants were satisfied with using an app to determine whether a fruit is fresh by taking a picture of the fruit but are reluctant to use the paid version of the app. The survey results revealed that the participants tended to use the app efficiently to take pictures of fruits and determine their freshness. The qualitative data analysis on app usability and participants\' perceptions about the app revealed that they found the app simple and easy to use, they had no difficulty taking pictures, and they found the app interface visually satisfactory.
CONCLUSIONS: This study suggests the possibility of developing an app that supports older adults in identifying rotten food items effectively and efficiently. Future work to make the app distinguish the freshness of various food items other than the 3 fruits selected still remains.