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Social robots as treatment agents: Pilot randomized controlled trial to deliver a behavior change intervention

机译:社交机器人作为治疗剂:进行行为改变干预的随机对照试验

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摘要

Social robots are increasingly demonstrating effectiveness as low-intensity behavior change agents. Key targets for these behavioral interventions include daily lifestyle behaviors with significant health consequences, such as the consumption of high-calorie foods and drinks (‘snacks’). A pilot randomized controlled trial using a stepped-wedge design was conducted to determine the efficacy of a motivational intervention by an autonomous robot, to help reduce high-calorie snacks. Twenty-six adults were randomized to receive Immediate or 4-week Delayed treatment, with assessments at Baseline and Weeks 4 and 8. The treatment comprised motivation enhancement and self-management training using mental imagery (Functional Imagery Training). A significant condition by time effect for snack episode reduction was obtained, (2, 32.06) = 4.30,  = .022. The Immediate condition significantly reduced snacking between Baseline and Week 4 (  = −1.06), while the Delayed condition did not (  = −0.08). Immediate participants maintained their improvement between Weeks 4 and 8 (  = −0.18), and Delayed participants then showed a significant fall (  = −1.42). Overall, ‘Immediate’ participants decreased their snack episodes by 54% and ‘Delayed’ decreased by 62% from Baseline to Week 8, and an average weight reduction of 4.4 kg was seen across over the first 2 weeks of treatment. Four weeks after starting the intervention, both conditions had significant increases in perceived confidence to control snack intake for time duration, specific scenarios and emotional states (  = 0.61 to 1.42). Working alliance was significantly correlated with reduced snack episodes. The pilot's results appear to suggest that the robot-delivered intervention may be as effective as a human clinician delivering a similar intervention. The robot-delivered pilot achieved similar snack episode reduction in the first four weeks (FIT-R, 55%) when compared with the human-delivered version by a trained clinician (FIT-H, 49%).
机译:社交机器人越来越显示出作为低强度行为改变剂的有效性。这些行为干预的主要目标包括每天的生活方式行为,这些行为会对健康产生重大影响,例如食用高热量的食物和饮料(“零食”)。进行了一项采用阶梯楔形设计的试验性随机对照试验,以确定自主机器人进行动机干预的功效,以帮助减少高热量小吃。 26名成年人被随机分配接受立即或4周延迟治疗,并在基线和第4、8周进行评估。治疗包括使用心理意象(功能意象训练)进行动机增强和自我管理训练。通过时间效应获得了减少小吃发作的重要条件,(2,32.06)= 4.30,= .022。即时状况显着减少了基线与第4周之间的零食(= -1.06),而延迟状况则没有(-0.08)。即时参与者在第4周和第8周之间保持了进步(= -0.18),而延迟参与者则表现出显着下降(= -1.42)。总体而言,从“基线”到第8周,“立即”参与者的零食发作减少了54%,而“延迟”参与者的饮食减少了62%,并且在治疗的前2周内平均体重减轻了4.4公斤。在开始干预的四个星期后,这两种情况在一定时间内,特定情景和情绪状态下控制零食摄入量的感知信心都有了显着提高(= 0.61至1.42)。工作联盟与零食发作的减少显着相关。飞行员的结果似乎表明,机器人提供的干预措施与人类临床医生提供的类似干预措施一样有效。与受过训练的临床医生的人工运送版本(FIT-H,49%)相比,由机器人运送的飞行员在前四个星期(FIT-R,55%)实现了类似的零食减少。

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