Virtual prognostication: When virtual alcohol choices predict change in alcohol consumption over 6-months.
Virtual prognostication: When virtual alcohol choices predict change in alcohol consumption over 6-months.
复制标题
虚拟预测：虚拟酒精选择可预测 6 个月内酒精消费量的变化。
DOI：
10.1016/j.chb.2018.08.025
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发表时间：
2019
影响因子：
9.9
通讯作者：
Miller,LynnC
中科院分区：
文献类型：
--
作者：
Wang,Liyuan;Christensen,JohnL;Jeong,DavidC;Miller,LynnC
用户与虚拟代理人互动的叙事游戏越来越多地被用于健康干预，以改变有针对性的行为。在虚拟社交互动中，基于类似的现实生活背景线索，过去的行为可以预测虚拟的选择。在这里，基于学习和互动的理论，我们研究了在虚拟干预之后，社交互动中的选择是否对未来的行为变化具有特别的诊断作用。为了测试这一点，我们需要(1)利用情境化的风险(例如，涉及饮酒)：给定目标受众(例如，与我的伴侣再喝一杯)的场景(例如，与男性发生性关系的有性风险的年轻男子(YMSM))，(2)在该上下文中包括基于证据的虚拟干预(例如，促进饮酒)，(3)实例化并记录在虚拟约会游戏场景干预中的虚拟选择(水或酒)，(4)对干预前和干预后6个月的青年男性接触者的饮酒情况进行评估。使用带有IA和酒精使用措施的社会优化学习环境(SOLUE)干预游戏，我们发现虚拟水选择(与虚拟酒精选择相比)显著预测现实生活中酒精消费的变化。此外，人格因素(例如，行为方法系统)预测了虚拟选择和酒精消费的变化。对这些发现的含义进行了讨论。
Narrative games, in which users interact with virtual agents, are increasingly being used in health interventions to change targeted behaviors. In virtual social interactions, based on similar real-life contextual cues, past behavior can predict virtual choices. Here, based on theories in learning and interactivity, we examined the whether following a virtual intervention, choices in social interactions may be particularly diagnostic of future behavior changes. To test this, we needed to (1) leverage a contextualized risk (e.g., involving alcohol consumption): scenario (e.g., having one more drink with my partner) given a target audience (e.g., sexually risky young men who have sex with men (YMSM)), (2) include within this context an evidence-based virtual intervention (e.g., promoting alcohol reduction), (3) instantiate and record a virtual choice (water or alcohol) in a virtual dating game scenario intervention with IA for that target audience, and (4) assess pre and 6-months post-intervention YMSM's alcohol use. Using a Socially Optimized Learning Environment (SOLVE) intervention game with IA and alcohol use measures, we found that virtual water choice (versus virtual alcohol choice) significantly predicted real-life alcohol consumption change. Furthermore, personality factors (e.g., Behavioral Approach System) predicted virtual choices and alcohol consumption change. Implications of these findings are discussed.