Data Collection Framework on Menus satisfying both Preferences and Nutritional Balance

Yoko Nishihara, Takumi Ohata, Ryosuke Yamanishi
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Abstract

Having meals with nutritional balanced is an excellent choice to live in healthy and long. However, people may avoid meals with nutritional balanced if they are not matched with their preferences even though they know well the importance of nutritional balance. Meals that satisfy both preferences and nutritional balance should be recommended. This paper proposes a data collection framework on menus satisfying both preferences and nutritional balance. The proposed framework asks a user to think up a menu that consists of several meals while considering both preferences and nutritional balance. The menu is evaluated in its nutritional balance and given a score. The score is relatively compared with the previous scores, and a face mark which is the feedback to the user is decided. If a score is improved even if slightly, a smiley face mark is shown. In contrast, if a score is worsened significantly, a crying face mark is shown. In other cases, a normal face mark is shown to the user. The user can learn characteristics of the menus with nutritional balanced by referring to the feedback. The framework collects data on menus that satisfy both preferences and nutritional balance. The authors conducted evaluation experiments. Experimental results showed that the proposed framework could collect data on menus satisfying both preferences and nutritional balance without tough labor.
满足偏好和营养平衡的菜单数据收集框架
营养均衡的膳食是健康长寿的绝佳选择。然而,即使人们知道营养平衡的重要性,如果不符合他们的喜好,他们可能会避免营养均衡的食物。应该推荐既能满足偏好又能保持营养平衡的膳食。本文提出了一个同时满足偏好和营养平衡的菜单数据收集框架。拟议的框架要求用户在考虑偏好和营养平衡的同时,想出一个由几顿饭组成的菜单。菜单是根据营养平衡来评估的,并给出一个分数。将分数与之前的分数进行相对比较,并确定一个人脸标记作为对用户的反馈。如果分数提高了,哪怕只是一点点,也会显示一个笑脸标记。相比之下,如果分数明显恶化,则会显示哭泣的面部标记。在其他情况下,一个正常的人脸标记显示给用户。用户可以通过反馈了解营养均衡菜单的特点。该框架收集了满足偏好和营养平衡的菜单数据。作者进行了评价实验。实验结果表明,该框架可以在不费力的情况下收集满足偏好和营养平衡的菜单数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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