Social & Behavioral Research Branch, National Human Genome Research Institute, Bethesda, Maryland.
Cyberpsychol Behav Soc Netw. 2019 Jul;22(7):486-493. doi: 10.1089/cyber.2018.0644. Epub 2019 Jun 26.
There is a pressing need to better understand how parents make feeding decisions for their children, but extant measures focus primarily on outcomes rather than examining the process of food choice as it unfolds. This exploratory study examined parents' translational movement as they moved throughout a virtual reality-based buffet restaurant to select a lunch for their child. Our aim was to explore whether translational movement would be related to cognitive and affective variables that underlie motivation, effort, and ultimate choices within food decision-making contexts (e.g., guilt, self-efficacy). Movement data were quantified in terms of path tortuosity: the degree of straightness of one's path while traveling through a space. Greater path tortuosity predicted a reduction in parents' guilt about their child feeding, above and beyond actual food chosen. Results suggest path tortuosity serves as an implicit measure of effort put forth by parents throughout the food decision-making process. Future work should continue to explore the utility of novel metrics that can be obtained from unique data sources, such as location tracking, for elucidating complicated behavioral processes such as food choice.
目前迫切需要更好地了解父母如何为孩子做出喂养决策,但现有的衡量标准主要关注结果,而不是在食物选择过程展开时检查这一过程。本探索性研究考察了父母在虚拟实境自助餐厅中为孩子选择午餐时的平移运动。我们的目的是探索平移运动是否与动机、努力和食物决策情境中最终选择的认知和情感变量(如内疚感、自我效能感)有关。运动数据是根据路径曲折度来量化的:一个人在空间中移动时路径的直线路径程度。路径曲折度越大,父母对孩子喂养的内疚感就越低,而与实际选择的食物无关。结果表明,路径曲折度可以作为父母在整个食物决策过程中付出努力的一种隐性衡量标准。未来的研究应该继续探索从独特的数据源(例如位置跟踪)中获得的新指标的效用,这些指标可以用来阐明像食物选择这样复杂的行为过程。