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首页> 外文期刊>International Journal of Social Robotics >Persuasive Robots Acceptance Model (PRAM): Roles of Social Responses Within the Acceptance Model of Persuasive Robots
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Persuasive Robots Acceptance Model (PRAM): Roles of Social Responses Within the Acceptance Model of Persuasive Robots

机译：有说服力的机器人验收模型（PRAM）：有说服力机器人验收模型中的社会反应的角色

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摘要

In the last years, there have been rapid developments in social robotics, which bring about the prospect of their application as persuasive robots to support behavior change. In order to guide related developments and pave the way for their adoption, it is important to understand the factors that influence the acceptance of social robots as persuasive agents. This study extends the technology acceptance model by including measures of social responses. The social responses include trusting belief, compliance, liking, and psychological reactance. Using the Wizard of Oz method, a laboratory experiment was conducted to evaluate user acceptance and social responses towards a social robot called SociBot. This robot was used as a persuasive agent in making decisions in donating to charities. Using partial least squares method, results showed that trusting beliefs and liking towards the robot significantly add the predictive power of the acceptance model of persuasive robots. However, due to the limitations of the study design, psychological reactance and compliance were not found to contribute to the prediction of persuasive robots' acceptance. Implications for the development of persuasive robots are discussed.
机译：在过去几年中，社会机器人的发展是一种快速的发展，将其应用前景带到了有说服力的机器人来支持行为变革。为了引导相关的发展并为采用铺平道路，重要的是要了解影响社会机器人作为有说服力的因素。本研究通过包括社会反应的措施来扩展技术验收模型。社会答复包括信任信仰，合规性，喜好和心理抵抗力。使用OZ方法向导，进行了实验室实验，以评估向叫做Socibot的社会机器人的用户接受和社会反应。该机器人被用作有说服力的代理商，在捐赠给慈善机构时做出决定。利用部分最小二乘法，结果表明，信任信仰和喜欢机器人的喜好显着增加了有说服力机器人验收模型的预测力。然而，由于研究设计的局限性，没有发现心理抵抗和合规性促进有助于机器人的接受。讨论了对有说服力机器人发展的影响。

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