Roe Brian E, Qi Danyi, Beyl Robbie A, Neubig Karissa E, Martin Corby K, Apolzan John W
Department of Agricultural, Environmental and Development Economics, Ohio State Univesity, 2120 Fyffe Road, Columbus, OH 43210 USA.
Department of Agricultural Economics and Agribusiness, Louisiana State University, Martin D. Woodin Hall, Baton Rouge, LA 70802 USA.
Resour Conserv Recycl. 2020 Sep;160. doi: 10.1016/j.resconrec.2020.104858. Epub 2020 May 21.
The FoodImage™ smartphone app transmits to researchers users' photographs of food selection and food waste, and includes user-tagged information about waste reasons and destination. Twenty-four participants were trained to record food waste using FoodImage, food waste diaries requiring visual estimation of waste quantities, and diaries requiring scale weights. Participants used each method during three staged food-waste scenarios (food preparation, eating, and clean-out) in a randomized crossover trial. Two participants had extreme values for the weighed diary method; therefore, accuracy results are reported with and without these two participants' data. Error was calculated as waste estimated with the experimental method minus directly weighed waste. Mean absolute error from FoodImage was significantly smaller than or equal to the error from both diary methods in each scenario. Furthermore, the mean values from FoodImage were equivalent to directly weighed values in two out of the three tasks; while weighed diaries were equivalent in two tasks only when the two participants with extreme values were removed. Visually estimated diaries were equivalent for only one task. All 24 participants preferred FoodImage to diaries and all rated FoodImage as less time consuming. Over one week, FoodImage would require ~24 fewer minutes of users' time to record all data. Unlike food waste diaries, FoodImage also transmits data to researchers in real-time and provides detailed data on food selection and intake. ClinicalTrials.gov Identifier: NCT03309306.
FoodImage™智能手机应用程序会将用户选择食物和食物浪费的照片传输给研究人员,并且包含用户标注的关于浪费原因和去向的信息。24名参与者接受了培训,使用FoodImage、需要对浪费量进行视觉估计的食物浪费日记以及需要秤重的日记来记录食物浪费情况。在一项随机交叉试验中,参与者在三个分阶段的食物浪费场景(食物准备、进食和清理)中使用每种方法。两名参与者在称重日记法中出现了极端值;因此,在报告准确性结果时分别包含和不包含这两名参与者的数据。误差计算为用实验方法估计的浪费量减去直接称重的浪费量。在每个场景中,FoodImage的平均绝对误差显著小于或等于两种日记法的误差。此外,在三项任务中的两项中,FoodImage的平均值与直接称重的值相当;而只有在去除两名有极端值的参与者后,称重日记在两项任务中的值才相当。视觉估计日记仅在一项任务中相当。所有24名参与者都更喜欢FoodImage而不是日记,并且所有人都认为FoodImage耗时更少。在一周的时间里,FoodImage记录所有数据所需的用户时间大约少24分钟。与食物浪费日记不同,FoodImage还会实时将数据传输给研究人员,并提供有关食物选择和摄入量的详细数据。临床试验注册号:NCT03309306。