论文标题
食品机器人：以目标为导向的即时健康饮食干预措施聊天机器人
Foodbot: A Goal-Oriented Just-in-Time Healthy Eating Interventions Chatbot
论文作者
论文摘要
最近的研究确定了流行移动健康（MHealth）应用程序的一些设计缺陷，以促进健康饮食生活方式，例如移动食品期刊。这些包括手动食品伐木的繁琐，食品数据库覆盖不足以及缺乏健康的饮食目标设定。为了解决这些问题，我们提出了Foodbot，这是一种基于聊天机器人的MHealth申请，以面向目标的即时（JIT）健康饮食干预措施。 Foodbot由大规模食品知识图提供动力，利用自动语音识别和移动消息界面来记录食物摄入量。此外，FoodBot允许用户通过JIT通知提示，交互式对话和个性化建议来设定目标并将其行为引导到目标。总而言之，Foodbot框架展示了使用开源数据，工具和平台来建立实用的MHealth解决方案，以支持一般人群中健康饮食生活方式。
Recent research has identified a few design flaws in popular mobile health (mHealth) applications for promoting healthy eating lifestyle, such as mobile food journals. These include tediousness of manual food logging, inadequate food database coverage, and a lack of healthy dietary goal setting. To address these issues, we present Foodbot, a chatbot-based mHealth application for goal-oriented just-in-time (JIT) healthy eating interventions. Powered by a large-scale food knowledge graph, Foodbot utilizes automatic speech recognition and mobile messaging interface to record food intake. Moreover, Foodbot allows users to set goals and guides their behavior toward the goals via JIT notification prompts, interactive dialogues, and personalized recommendation. Altogether, the Foodbot framework demonstrates the use of open-source data, tools, and platforms to build a practical mHealth solution for supporting healthy eating lifestyle in the general population.
