Niewiadomski Radoslaw, Ceccaldi Eleonora, Huisman Gijs, Volpe Gualtiero, Mancini Maurizio
CONTACT Unit, Istituto Italiano di Tecnologia, Genoa, Italy.
InfoMus Lab, DIBRIS, University of Genoa, Genoa, Italy.
Front Robot AI. 2019 Dec 5;6:119. doi: 10.3389/frobt.2019.00119. eCollection 2019.
Food and eating are inherently social activities taking place, for example, around the dining table at home, in restaurants, or in public spaces. Enjoying eating with others, often referred to as "commensality," positively affects mealtime in terms of, among other factors, food intake, food choice, and food satisfaction. In this paper we discuss the concept of "Computational Commensality," that is, technology which computationally addresses various social aspects of food and eating. In the past few years, Human-Computer Interaction started to address how interactive technologies can improve mealtimes. However, the main focus has been made so far on improving the individual's experience, rather than considering the inherently social nature of food consumption. In this survey, we first present research from the field of social psychology on the social relevance of Food- and Eating-related Activities (F&EA). Then, we review existing computational models and technologies that can contribute, in the near future, to achieving Computational Commensality. We also discuss the related research challenges and indicate future applications of such new technology that can potentially improve F&EA from the commensality perspective.
饮食本质上是社交活动，例如发生在家庭餐桌旁、餐馆里或公共场所。与他人一起享受用餐，通常称为“共餐”，在食物摄入量、食物选择和食物满意度等诸多因素方面，对用餐时间有着积极影响。在本文中，我们讨论“计算共餐”的概念，即通过计算来处理食物和饮食的各种社会层面的技术。在过去几年里，人机交互开始探讨交互式技术如何改善用餐时间。然而，迄今为止主要关注点在于改善个人体验，而非考虑食物消费固有的社会属性。在这项调查中，我们首先展示社会心理学领域关于与食物和饮食相关活动（F&EA）的社会相关性的研究。然后，我们回顾现有的计算模型和技术，这些在不久的将来有助于实现计算共餐。我们还讨论了相关的研究挑战，并指出这类新技术从共餐角度可能改善F&EA的未来应用。
