On the Role of Beliefs and Trust for the Intention to Use Service Robots: An Integrated Trustworthiness Beliefs Model for Robot Acceptance
参考中译:信念和信任对使用服务机器人意图的作用：机器人接受的集成可信信念模型


          

刊名：International Journal of Social Robotics
作者：Johannes Kraus（Department of Human Factors, Ulm University）
Linda Miller（Department of Human Factors, Ulm University）
Marielene Klumpp（Department of Human Factors, Ulm University）
Franziska Babel（Department of Human Factors, Ulm University）
David Scholz（Cognitive Psychology Lab, University of Koblenz-Landau）
Julia Merger（Department of Human Factors, Ulm University）
Martin Baumann（Department of Human Factors, Ulm University）
刊号：737LB013/I
ISSN：1875-4791
出版年：2024
年卷期：2024, vol.16, no.6
页码：1223-1246
总页数：24
分类号：TP24
关键词：Trust in robots；Acceptance modeling；Intention to use；Beliefs；Theory of planned behavior；UTAUT
参考中译：对机器人的信任;接受建模;使用意图;信念;计划行为理论; UTAUT
语种：eng
文摘：With the increasing abilities of robots, the prediction of user decisions needs to go beyond the usability perspective, for example, by integrating distinctive beliefs and trust. In an online study (N = 400), first, the relationship between general trust in service robots and trust in a specific robot was investigated, supporting the role of general trust as a starting point for trust formation. On this basis, it was explored-both for general acceptance of service robots and acceptance of a specific robot-if technology acceptance models can be meaningfully complemented by specific beliefs from the theory of planned behavior (TPB) and trust literature to enhance understanding of robot adoption. First, models integrating all belief groups were fitted, providing essential variance predictions at both levels (general and specific) and a mediation of beliefs via trust to the intention to use. The omission of the performance expectancy and reliability belief was compensated for by more distinctive beliefs. In the final model (TB-RAM), effort expectancy and competence predicted trust at the general level. For a specific robot, competence and social influence predicted trust. Moreover, the effect of social influence on trust was moderated by the robot's application area (public > private), supporting situation-specific belief relevance in robot adoption. Taken together, in line with the TPB, these findings support a mediation cascade from beliefs via trust to the intention to use. Furthermore, an incorporation of distinctive instead of broad beliefs is promising for increasing the explanatory and practical value of acceptance modeling.
参考中译：随着机器人能力的不断增强，对用户决策的预测需要超越可用性的角度，例如，通过整合独特的信念和信任。在一项在线研究中(N=400)，首先，调查了服务机器人的一般信任与特定机器人的信任之间的关系，支持了一般信任作为信任形成的起点的作用。在此基础上，探讨了无论是对服务机器人的普遍接受，还是对特定机器人的接受，技术接受模型是否能得到来自计划行为理论(TPB)和信任文献的具体信念的有意义的补充，以增强对机器人采用的理解。首先，对整合了所有信念群体的模型进行了拟合，提供了两个水平(一般和具体)的基本方差预测，并通过信任对使用意图进行了信念的中介。性能预期和可靠性信念的缺失被更独特的信念所弥补。在最终模型(TB-RAM)中，努力期望和能力在一般水平上预测信任。对于特定的机器人来说，能力和社会影响力预示着信任。此外，社会影响对信任的影响受到S应用领域(公共领域>私人领域)的调节，支持特定情境的信念与机器人采用的相关性。综上所述，与TPB一致，这些发现支持从信念通过信任到使用意图的中介级联。此外，加入独特的信念而不是广泛的信念有望增加接受模型的解释和实用价值。



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