Building Trust in PRVAs by User Inner State Transition through Agent State Transition
Building Trust in PRVAs by User Inner State Transition through Agent State Transition
复制标题
通过代理状态转换，通过用户内部状态转换建立对 PRVA 的信任
DOI：
10.1145/2974804.2974816
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发表时间：
2016
期刊：
影响因子：
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通讯作者：
S. Yamada
中科院分区：
文献类型：
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作者：
T. Matsui;S. Yamada
在本研究中，我们旨在提出一种设计可信赖产品推荐虚拟代理的方法。我们将智能体的可信性定义为受用户情感和人类感知的知识性的影响。此外，我们还提出了一种增加信任的用户内部状态转换模型。为了增加信任，我们的目标是通过情感传染使用户的情感转变为积极的，并通过增加代理的知识使用户的知识性变得更高。为了检验这一模型，我们进行了两个实验。在实验1中，PRVA推荐了包价旅游，并在十个推荐中的后半部分变得非常了解。在实验二中，PRVA推荐了相同的团队旅游，并在下半年表达了积极的情绪。结果，参与者的内心状态发生了我们预期的转变，证明了该模型对PRVA推荐是有价值的。
In this research, we aim to suggest a method for designing trustworthy PRVAs (product recommendation virtual agents). We define an agent's trustworthiness as being operated by user emotion and knowledgeableness perceived by humans. Also, we suggest a user inner state transition model for increasing trust. To increase trust, we aim to cause user emotion to transition to positive by using emotional contagion and to cause user knowledgeableness perceived to become higher by increasing an agent's knowledge. We carried out two experiments to inspect this model. In experiment 1, the PRVAs recommended package tours and became highly knowledgeable in the latter half of ten recommendations. In experiment 2, the PRVAs recommended the same package tours and expressed a positive emotion in the latter half. As a result, participants' inner states transitioned as we expected, and it was proved that this model was valuable for PRVA recommendation.