Conditions under which “Neither-Good-Nor-Bad” Information Works Effectively on User’s Trust in Agents

IF 0.8 Q4 ENGINEERING, INDUSTRIAL International Journal of Affective Engineering Pub Date : 2021-01-01 DOI:10.5057/IJAE.IJAE-D-20-00036
Shinku Yokoyama, Jun-ichi Imai
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引用次数: 1

Abstract

: The effect of the provision of “Neither-Good-Nor-Bad” (NGNB) information on the trustworthiness of agents has been reported. However, in this previous study, the size of the profits generated by the NGNB information was fixed at 50% of the maximum profit, even though this ratio can vary in practical situations. Furthermore, in this experiment, all the consequences were disclosed to the users, including those that they had not chosen. In practical situations, we are often unaware of consequences that we have not chosen. In this study, we focus on these two factors and investigate the effects of them on the trustworthiness of the agents. Experimental results reveal that the agent that reliably provides the NGNB information tends to gain a greater degree of users’ trust in a situation where it is harder to obtain large profits, and when consequences that they had not chosen were not disclosed to them.
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“非好即坏”信息有效影响用户对代理信任的条件
有报道称,提供“非好即坏”(NGNB)信息对代理商可信度的影响。然而,在之前的研究中,NGNB信息产生的利润规模被固定为最大利润的50%,尽管这个比例在实际情况中可能会有所不同。此外,在这个实验中,所有的结果都向用户公开,包括那些他们没有选择的结果。在实际情况中,我们常常没有意识到我们没有选择的后果。在本研究中,我们将重点关注这两个因素,并探讨它们对代理可信度的影响。实验结果表明,在难以获得高额利润的情况下,当用户没有选择的后果不被披露时,可靠地提供NGNB信息的代理往往会获得更大程度的用户信任。
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