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一款食物识别应用程序(FoodRec)的开发与用户评估:实验数据与定性分析

Development and User Evaluation of a Food-recognition app (FoodRec): Experimental Data and Qualitative Analysis.

作者信息

Battiato Sebastiano, Caponnetto Pasquale, Leotta Roberto, Marotta Giovanni, Midolo Alessandro, Ortis Alessandro, Polosa Riccardo

出版信息

Health Psychol Res. 2023 Feb 21;11:70401. doi: 10.52965/001c.70401. eCollection 2023.

Abstract

BACKGROUND

different studies revealed strong correlation between smoking cessation and a worsening of the diet, whose consequence include loss of appetite, weight loss, etc.

OBJECTIVE

the objective of FoodRec project is to exploit technology to monitor the dietary habits of people during their smoke quitting process, catching relevant changes which can affect the patient health and the success of the process. This work was an uncontrolled pre-test post-test open pilot study in which an interdisciplinary group created an app for food recognition (FoodRec) to monitor their mood status and dietary habits during the test period.

METHODS

participants used the FoodRec App for two consecutive weeks for usability and suitability assessment. Tests included 149 smokers involved in a smoke quitting process, aged between 19 and 80. For the quantitative test, data were analyzed regarding users features, meals uploads, mood states and drink intakes. For the qualitative test, a user evaluation test of the app has been performed with four assignments being carried out on a group of 50 participants.

RESULTS

the App was perceived as extremely user-friendly and lightweight. It also turned out to be useful in the perception of users' dietary habits and helpful in relieving the stress of a food intake reduction process.

CONCLUSION

this work investigated the role and impact of the FoodRec App in a large international and multicultural context. The experience gained in the current study will be used to modify and refine the large international RCT protocol version of the app.

摘要

背景

不同研究表明戒烟与饮食恶化之间存在强相关性,其后果包括食欲不振、体重减轻等。

目的

FoodRec项目的目标是利用技术监测人们戒烟过程中的饮食习惯,捕捉可能影响患者健康和戒烟过程成功与否的相关变化。这项工作是一项非对照的前测后测开放性试点研究,一个跨学科团队开发了一款食物识别应用程序(FoodRec),以在测试期间监测他们的情绪状态和饮食习惯。

方法

参与者连续两周使用FoodRec应用程序进行可用性和适用性评估。测试纳入了149名年龄在19至80岁之间、正在进行戒烟的吸烟者。对于定量测试,分析了关于用户特征、上传的餐食、情绪状态和饮品摄入量的数据。对于定性测试,对一组50名参与者进行了四项任务的应用程序用户评估测试。

结果

该应用程序被认为极其用户友好且轻便。它在了解用户饮食习惯方面也很有用,并且有助于缓解减少食物摄入量过程中的压力。

结论

这项工作在一个大型国际多元文化背景下研究了FoodRec应用程序的作用和影响。当前研究中获得的经验将用于修改和完善该应用程序的大型国际随机对照试验方案版本。

相似文献

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A Report on Smoking Detection and Quitting Technologies.吸烟检测与戒烟技术报告
Int J Environ Res Public Health. 2020 Apr 10;17(7):2614. doi: 10.3390/ijerph17072614.
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Effects of smoking and smoking cessation on dietary habits of a Swiss urban population.
Eur J Clin Nutr. 1999 Mar;53(3):239-43. doi: 10.1038/sj.ejcn.1600710.

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