Active assistance technology for health-related behavior change: an interdisciplinary review.
Active assistance technology for health-related behavior change: an interdisciplinary review.
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DOI：
10.2196/jmir.1893
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发表时间：
2012-06-14
影响因子：
7.4
通讯作者：
Buchan I
中科院分区：
文献类型：
--
作者：
Kennedy CM;Powell J;Payne TH;Ainsworth J;Boyd A;Buchan I
信息技术可以帮助个人改变他们的健康行为。这是因为它具有动态和公正的信息处理潜力，使用户能够监测自己的进展，并了解不断变化的背景和动机所特有的风险和机会。然而，在许多行为改变干预措施中，信息技术未得到充分利用，将其视为一种被动的媒介，专注于有效的信息传输和积极的用户体验。进行跨学科文献综述，以确定动态和适应性信息处理的主动技术能力在行为改变干预中的应用程度，并确定它们在这些干预中的作用。我们定义了主动技术的关键类别，如语义信息处理，模式识别和适应。我们使用来自类别的关键词进行文献检索，并纳入了表明主动技术在健康相关行为改变中发挥重要作用的研究。在数据提取中，我们特别关注以下技术角色：（1）根据上下文动态自适应定制消息，（2）交互式教育，（3）支持客户自我监测行为变化进程，以及（4）使用主动技术将干预措施建立在行为变化理论基础上的新方法。检索返回了228篇潜在相关文章，其中41篇符合纳入标准。我们发现，重要的研究集中在对话系统，体现会话代理，和活动识别。覆盖最多的健康主题是体育活动。大多数研究都是早期研究。只有6项是随机对照试验，其中4项对行为改变呈阳性，5项对可接受性呈阳性。移情和关系行为是对话系统中行为改变的重要研究主题，许多试点研究显示出对这些功能的偏好。我们发现很少有研究关注互动教育（3项研究）和自我监控（2项研究）。最近的一些研究出现在动态裁剪（15项研究）和自动语义处理的理论基础本体（4项研究）。在大多数当前的行为改变研究中，主动辅助技术的潜在能力和风险尚未得到充分探讨。健康行为干预的设计者需要更充分地考虑相关的信息学方法和算法。还需要分析不同技术组成部分之间的互动可能产生的各种可能性。这需要深入的跨学科合作，例如，健康心理学，计算机科学，健康信息学，认知科学和教育方法之间的合作。
Information technology can help individuals to change their health behaviors. This is due to its potential for dynamic and unbiased information processing enabling users to monitor their own progress and be informed about risks and opportunities specific to evolving contexts and motivations. However, in many behavior change interventions, information technology is underused by treating it as a passive medium focused on efficient transmission of information and a positive user experience. To conduct an interdisciplinary literature review to determine the extent to which the active technological capabilities of dynamic and adaptive information processing are being applied in behavior change interventions and to identify their role in these interventions. We defined key categories of active technology such as semantic information processing, pattern recognition, and adaptation. We conducted the literature search using keywords derived from the categories and included studies that indicated a significant role for an active technology in health-related behavior change. In the data extraction, we looked specifically for the following technology roles: (1) dynamic adaptive tailoring of messages depending on context, (2) interactive education, (3) support for client self-monitoring of behavior change progress, and (4) novel ways in which interventions are grounded in behavior change theories using active technology. The search returned 228 potentially relevant articles, of which 41 satisfied the inclusion criteria. We found that significant research was focused on dialog systems, embodied conversational agents, and activity recognition. The most covered health topic was physical activity. The majority of the studies were early-stage research. Only 6 were randomized controlled trials, of which 4 were positive for behavior change and 5 were positive for acceptability. Empathy and relational behavior were significant research themes in dialog systems for behavior change, with many pilot studies showing a preference for those features. We found few studies that focused on interactive education (3 studies) and self-monitoring (2 studies). Some recent research is emerging in dynamic tailoring (15 studies) and theoretically grounded ontologies for automated semantic processing (4 studies). The potential capabilities and risks of active assistance technologies are not being fully explored in most current behavior change research. Designers of health behavior interventions need to consider the relevant informatics methods and algorithms more fully. There is also a need to analyze the possibilities that can result from interaction between different technology components. This requires deep interdisciplinary collaboration, for example, between health psychology, computer science, health informatics, cognitive science, and educational methodology.
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DOI：
10.1016/0749-5978(91)90020-t
发表时间：
1991-12-01
影响因子：
4.6
作者：
AJZEN, I
通讯作者：
AJZEN, I
影响因子：
1.3
作者：
Bickmore, TW;Caruso, L;Heeren, T
通讯作者：
Heeren, T
影响因子：
7.4
作者：
Burns MN;Begale M;Duffecy J;Gergle D;Karr CJ;Giangrande E;Mohr DC
通讯作者：
Mohr DC
影响因子：
4.3
作者：
Bickmore, Timothy W.;Mauer, Daniel;Brown, Thomas
通讯作者：
Brown, Thomas
影响因子：
5.4
作者：
BANDURA, A
通讯作者：
BANDURA, A