Institute of Neuroscience and Psychology, University of Glasgow, Glasgow, Scotland, United Kingdom.
School of Health in Social Science, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
PLoS One. 2022 Sep 28;17(9):e0274353. doi: 10.1371/journal.pone.0274353. eCollection 2022.
To facilitate long-term engagement with social robots, emerging evidence suggests that modelling robots on social animals with whom many people form enduring social bonds-specifically, pet dogs-may be useful. However, scientific understanding of the features of pet dogs that are important for establishing and maintaining social bonds remains limited to broad qualities that are liked, as opposed to specific behaviours. To better understand dog behaviours that are perceived as important for facilitating social bonds between owner and pet, we surveyed current dog owners (n = 153) with open-ended questions about their dogs' behaviours. Thematic analysis identified 7 categories of behaviours perceived as important to human-dog bonding, including: 1) attunement, 2) communication, 3) consistency and predictability, 4) physical affection, 5) positivity and enthusiasm, 6) proximity, and 7) shared activities. We consider the feasibility of translating these behaviours into a social robotic platform, and signpost potential barriers moving forward. In addition to providing insight into important behaviours for human-dog bonding, this work provides a springboard for those hoping to implement dog behaviours into animal-like artificial agents designed for social roles.
为了促进与社交机器人的长期互动,新出现的证据表明,将机器人模拟成许多人与之建立持久社交纽带的社交动物(特别是宠物狗)可能是有用的。然而,对于对建立和维持社交纽带很重要的宠物狗的特征,科学理解仍然局限于被喜欢的广泛品质,而不是特定的行为。为了更好地理解被认为有助于促进主人和宠物之间社交纽带的狗的行为,我们用开放式问题调查了当前的狗主人(n = 153),询问他们的狗的行为。主题分析确定了 7 类被认为对人与狗建立联系很重要的行为,包括:1)协调,2)沟通,3)一致性和可预测性,4)身体接触,5)积极性和热情,6)接近度,7)共同活动。我们考虑了将这些行为转化为社交机器人平台的可行性,并为未来可能遇到的障碍指明了方向。除了提供对人与狗建立联系的重要行为的见解外,这项工作还为那些希望将狗的行为融入为社交角色而设计的类动物人工代理的人提供了一个起点。