Trust Behavior(信任行为)研究综述
Trust Behavior 信任行为 - Since previous studies exploring the influence of these three parameters on people’s trust behavior in the trust game paradigm have inconsistent results, some researchers reported that it is because the absolute values of these three parameters are used when analyzing the results. [1] In our considered oligopoly, the regulatory sets a dynamic maximum allowed price of service to prevent anti-trust behavior and unfair service pricing. [2] Results provide robust support for a negative effect of uncivil partisan discourse on trust behavior and null results on trustworthiness. [3] Specifically, we propose that two models based on “con-fident” and “skeptical” group of participants, respectively, can represent the trust behavior of the population. [4] Overall, our study extends the understanding of trust behavior to a fluctuating social context and highlights the role of social learning in social emotion and interaction. [5] Specifically, partner distrust behaviors led to participants' lower levels of trustworthiness perceptions, trust intentions, and trust behaviors over time compared to partner trust behaviors. [6] In this work, we examine design characteristics of AV interface, including communication style, explicit display of vehicle speed, and adaptive strategy, and study their effects on pedestrians’ trust behaviors. [7] We investigate the interplay of trust intent and trust behavior, an underresearched yet critical link in the trust process. [8] Findings suggest that IV exposure and associated anxiety impacts adolescents' trust behaviors, demonstrating potential mechanisms for maladaptive social behavior among trauma-exposed youth. [9] The survey covered their trust behavior and attitude scale (PTBAS), and an 8-item Morisky medication adherence scale (MMAS-8). [10] Participant’s trust behavior was measured by the number of tokens they re-invested in their counterpart in a second round of the game. [11] In order to address the problems, the machine learning and ensemble learning techniques are introduced to form the virtual community based on influencing, suspicious and trust behavior with better classification accuracy and lesser time consumption. [12] These effects hold for trust judgments (Study 2–3) and trust behavior in an economic game (Study 4). [13] Respondents were asked to complete EI tests and questions related to trust behavior. [14] We employ a multi-method research design that allows us to investigate the extent to which the executives' trust beliefs toward a relevant network of exchange partners (which we define as their "network trust") impact their trust behaviors when engaging in business interactions with members of this network. [15]由于以往在信任博弈范式中探讨这三个参数对人们信任行为的影响的研究结果不一致，一些研究人员报告说这是因为在分析结果时使用了这三个参数的绝对值。 [1] 在我们认为的寡头垄断中，监管机构设定了一个动态的最高允许服务价格，以防止反垄断行为和不公平的服务定价。 [2] 结果为不文明的党派话语对信任行为的负面影响和对可信度的无效结果提供了有力的支持。 [3] 具体来说，我们提出分别基于“自信”和“怀疑”的参与者群体的两种模型可以代表人群的信任行为。 [4] 总体而言，我们的研究将信任行为的理解扩展到波动的社会环境，并强调了社会学习在社会情感和互动中的作用。 [5] 具体而言，与合作伙伴信任行为相比，合作伙伴不信任行为导致参与者的信任感知、信任意图和信任行为随着时间的推移而降低。 [6] 在这项工作中，我们研究了 AV 界面的设计特征，包括沟通方式、车速的显式显示和自适应策略，并研究了它们对行人信任行为的影响。 [7] 我们调查了信任意图和信任行为的相互作用，这是信任过程中研究不足但至关重要的环节。 [8] 研究结果表明，IV 暴露和相关的焦虑会影响青少年的信任行为，这表明了遭受创伤的青少年适应不良社会行为的潜在机制。 [9] 该调查涵盖了他们的信任行为和态度量表 (PTBAS) 以及 8 项 Morisky 药物依从性量表 (MMAS-8)。 [10] 参与者的信任行为是通过他们在第二轮游戏中重新投资给对方的代币数量来衡量的。 [11] 为了解决这些问题，引入机器学习和集成学习技术，形成基于影响、怀疑和信任行为的虚拟社区，具有更好的分类精度和更少的时间消耗。 [12] 这些影响适用于信任判断（研究 2-3）和经济博弈中的信任行为（研究 4）。 [13] 受访者被要求完成 EI 测试和与信任行为相关的问题。 [14] 我们采用多方法研究设计，使我们能够调查高管对相关交易伙伴网络的信任信念（我们将其定义为他们的“网络信任”）在与他们进行业务互动时影响他们的信任行为的程度。这个网络的成员。 [15]
Online Trust Behavior
Keywords : health belief model, online trust behavior, milenial generations, m-health Abstrak. [1] Some other significant topics of research include a theoretical understanding of the disintermediated online trust behavior of suppliers and consumers, prospective ranges of IOT (the Internet of Things) applications of blockchain, diverse legal issues involving IT/IS digital contracts across blockchain platforms, and so on. [2]关键词：健康信念模型，在线信任行为，千禧一代，m-health Abstrak。 [1] 其他一些重要的研究主题包括对供应商和消费者的去中介在线信任行为的理论理解、区块链的 IOT（物联网）应用的预期范围、涉及跨区块链平台的 IT/IS 数字合同的各种法律问题等等上。 [2]
Predict Trust Behavior 预测信任行为
However, only institutional influences and experiences of discrimination were observed to predict trust behaviors between collaborators. [1] Exploring neural markers that predict trust behavior may help us to identify the cognitive process underlying trust decisions and to develop a new approach to promote interpersonal trust. [2]然而，仅观察到制度影响和歧视经验来预测合作者之间的信任行为。 [1] 探索预测信任行为的神经标记可能有助于我们识别信任决策背后的认知过程，并开发一种促进人际信任的新方法。 [2]