Air Force Research Laboratory, 2210 Eighth Street Bldg. 146, Wright Patterson Air Force Base, OH, 45433, USA.
Consortium of Universities, 1020 19th St NW #500, Washington, DC, 20036, USA.
Appl Ergon. 2021 May;93:103350. doi: 10.1016/j.apergo.2020.103350. Epub 2021 Jan 30.
There is sparse research directly investigating the effects of trust manipulations in human-human and human-robot interactions. Moreover, studies on human-human versus human-robot trust have leveraged unusual or low vulnerability contexts to investigate such effects and have focused mostly on robot performance. In the present research, we seek to remedy these limitations and compare trust in human-human versus human-robot collaborations in an augmented and adapted version of the Trust Game. We used a mixed factorial design to examine the effects of trust and trust violations on human-human and human-robot interactions over time with an emphasis on anthropomorphic robots in a social context. We found consistent and significant effects of partner behavior. Specifically, partner distrust behaviors led to participants' lower levels of trustworthiness perceptions, trust intentions, and trust behaviors over time compared to partner trust behaviors. We found no significant effect of partnering with a human versus an anthropomorphic robot over time across the three dependent variables, supporting the computers as social actors (CASA; Nass and Moon, 2000) paradigm. This study demonstrated that there may be instances where the effects of trust violations from an anthropomorphized robot partner are not meaningfully different from those of a human partner in a social context.
直接研究信任操纵对人际和人机交互影响的研究很少。此外,关于人际信任与机器人信任的研究利用了不寻常或低脆弱性的情境来调查这些影响,并且主要集中在机器人性能上。在本研究中,我们试图弥补这些局限性,并在信任游戏的增强和改编版本中比较人际和人机协作中的信任。我们使用混合因子设计来检查信任和信任违反对人际和人机交互的影响,重点是社会背景下的拟人机器人。我们发现合作伙伴行为有一致且显著的影响。具体来说,与合作伙伴信任行为相比,合作伙伴不信任行为会导致参与者随着时间的推移降低信任感知、信任意图和信任行为的水平。我们没有发现随着时间的推移,与人类相比,与拟人机器人合作在三个因变量上有显著的影响,这支持了计算机作为社会行为者(CASA;Nass 和 Moon,2000)范式。这项研究表明,在某些情况下,拟人化机器人伙伴的信任违反的影响可能与社会情境中人类伙伴的影响没有明显区别。