Recording Daily Health Status with Chatbot on Mobile Phone - A Preliminary Study
Recording Daily Health Status with Chatbot on Mobile Phone - A Preliminary Study
复制标题
用手机聊天机器人记录每日健康状况——初步研究
DOI：
10.23919/icmu48249.2019.9006645
复制
发表时间：
2019
期刊：
影响因子：
--
通讯作者：
K. Yasuda
中科院分区：
文献类型：
--
作者：
H. Maeda;S. Saiki;Masahide Nakamura;K. Yasuda
为了支持家庭长期护理，我们正在研究心灵感应技术，通过与代理人或机器人的对话，将老年人的内部状态外部化为语言。我们之前开发了记忆辅助服务，其中移动的电话上的聊天机器人自主地与老年人交谈，记录他们的状况，事件和备忘录。在对健康老人的实验中，我们发现他们经常与聊天机器人谈论健康状况，如体重和血压。这促使我们使用心灵感应作为一种负担得起的实用手段来记录日常健康状况。在本文中，我们提出了一种方法，个人用户可以声明他们的利益的健康指标，并记录他们通过心灵感应。具体来说，对于每个用户定义的指标，聊天机器人会在指定时间询问用户指标的当前值。然后将文本对话放入数据挖掘过程中以提取度量的时间序列值。时间序列数据最终被可视化为图形，用户可以使用该图形查看健康状态。我们的初步实验表明，即使没有“连接”的测量仪器，也可以成功地记录和可视化个人健康指标。
To support in-home long-term care, we are studying techniques of mind sensing, which externalizes internal states of elderly people as words through conversations with agents or robots. We previously developed the memory-aid service, where a chatbot on a mobile phone autonomously talks to elderly people, to record their conditions, events, and memorandums. During experiments with healthy elders, we found that they regularly talked to the chatbot about health status, such as weight and blood pressure. This motivated us to use the mind sensing as an affordable and practical means to record daily health status. In this paper, we present a method where individual users can declare health metrics of their interests, and record them through the mind sensing. Specifically, for each user-defined metric, the chatbot asks the user the current value of the metric at the designated time. The text conversations are then put in a data mining process to extract time-series values of the metric. The time-series data is finally visualized as a graph, with which the user can review the health status. Our preliminary experiment shows that individual health metrics can be recorded and visualized successfully even without “connected” measuring instruments.