J. Med. Internet Res. - Active assistance technology for health-related behavior change: an interdisciplinary review.

Tópicos

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Resumo

CKGROUND: 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.OBJECTIVE: 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.METHODS: 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.RESULTS: 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).CONCLUSIONS: 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.

Resumo Limpo

ckground inform technolog can help individu chang health behavior due potenti dynam unbias inform process enabl user monitor progress inform risk opportun specif evolv context motiv howev mani behavior chang intervent inform technolog underus treat passiv medium focus effici transmiss inform posit user experienceobject conduct interdisciplinari literatur review determin extent activ technolog capabl dynam adapt inform process appli behavior chang intervent identifi role interventionsmethod defin key categori activ technolog semant inform process pattern recognit adapt conduct literatur search use keyword deriv categori includ studi indic signific role activ technolog healthrel behavior chang data extract look specif follow technolog role dynam adapt tailor messag depend context interact educ support client selfmonitor behavior chang progress novel way intervent ground behavior chang theori use activ technologyresult search return potenti relev articl satisfi inclus criteria found signific research focus dialog system embodi convers agent activ recognit cover health topic physic activ major studi earlystag research random control trial posit behavior chang posit accept empathi relat behavior signific research theme dialog system behavior chang mani pilot studi show prefer featur found studi focus interact educ studi selfmonitor studi recent research emerg dynam tailor studi theoret ground ontolog autom semant process studiesconclus potenti capabl risk activ assist technolog fulli explor current behavior chang research design health behavior intervent need consid relev informat method algorithm fulli also need analyz possibl can result interact differ technolog compon requir deep interdisciplinari collabor exampl health psycholog comput scienc health informat cognit scienc educ methodolog

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