College of Computer and Information Science, Northeastern University, Boston, MA 02115, USA.
Patient Educ Couns. 2013 Aug;92(2):142-8. doi: 10.1016/j.pec.2013.05.011. Epub 2013 Jun 12.
An automated health counselor agent was designed to promote both physical activity and fruit and vegetable consumption through a series of simulated conversations with users on their home computers.
The agent was evaluated in a 4-arm randomized trial of a two-month daily contact intervention comparing: (a) physical activity; (b) fruit and vegetable consumption; (c) both interventions; and (d) a non-intervention control. Physical activity was assessed using daily pedometer steps. Daily servings of fruit and vegetables were assessed using the NIH/NCI self-report Fruit and Vegetable Scan.
Participants in the physical activity intervention increased their walking on average compared to the control group, while those in the fruit and vegetable intervention and combined intervention decreased walking. Participants in the fruit and vegetable intervention group consumed significantly more servings per day compared to those in the control group, and those in the combined intervention reported consuming more compared to those in the control group.
Automated health intervention software designed for efficient re-use is effective at changing health behavior.
Automated health behavior change interventions can be designed to facilitate translation and adaptation across multiple behaviors.
通过在家用电脑上与用户进行一系列模拟对话，设计了一个自动化健康顾问代理，以促进身体活动和水果及蔬菜的消费。
该代理在一项为期两个月的每日接触干预的 4 臂随机试验中进行了评估，比较了：（a）身体活动；（b）水果和蔬菜的消费；（c）两种干预措施；和（d）非干预对照组。使用日常计步器步数评估身体活动。使用 NIH/NCI 自我报告的《水果和蔬菜扫描》评估每日水果和蔬菜的摄入量。
与对照组相比，身体活动干预组的参与者平均增加了步行量，而水果和蔬菜干预组以及联合干预组的参与者则减少了步行量。与对照组相比，水果和蔬菜干预组的参与者每天摄入的份量明显更多，而联合干预组的参与者报告的摄入量则比对照组更多。
专为高效重复使用而设计的自动化健康干预软件可有效改变健康行为。
可以设计自动化的健康行为改变干预措施，以促进多种行为的转化和适应。
