心理信息
心理干预
心理学
背景(考古学)
构造(python库)
认知心理学
社会心理学
知识管理
计算机科学
政治学
梅德林
精神科
法学
生物
程序设计语言
古生物学
作者
Inbal Nahum‐Shani,Steven D. Shaw,Stephanie M. Carpenter,Susan A. Murphy,Carolyn Yoon
出处
期刊:American Psychologist
[American Psychological Association]
日期:2022-03-17
卷期号:77 (7): 836-852
被引量:98
摘要
The notion of "engagement," which plays an important role in various domains of psychology, is gaining increased currency as a concept that is critical to the success of digital interventions. However, engagement remains an ill-defined construct, with different fields generating their own domain-specific definitions. Moreover, given that digital interactions in real-world settings are characterized by multiple demands and choice alternatives competing for an individual's effort and attention, they involve fast and often impulsive decision-making. Prior research seeking to uncover the mechanisms underlying engagement has nonetheless focused mainly on psychological factors and social influences and neglected to account for the role of neural mechanisms that shape individual choices. This article aims to integrate theories and empirical evidence across multiple domains to define engagement and discuss opportunities and challenges to promote effective engagement in digital interventions. We also propose the affect-integration-motivation and attention-context-translation (AIM-ACT) framework, which is based on a neurophysiological account of engagement, to shed new light on how in-the-moment engagement unfolds in response to a digital stimulus. Building on this framework, we provide recommendations for designing strategies to promote engagement in digital interventions and highlight directions for future research. (PsycInfo Database Record (c) 2022 APA, all rights reserved).
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