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人类对其他软件的信任——一项将所有前因整合在一起的系统文献综述。

Human trust in otherware - a systematic literature review bringing all antecedents together.

机构信息

Chair of International Production Engineering and Management, University of Siegen, Siegen, Germany.

Chair of Ubiquitous Design, University of Siegen, Siegen, Germany.

出版信息

Ergonomics. 2023 Jul;66(7):976-998. doi: 10.1080/00140139.2022.2120634. Epub 2022 Sep 14.

Abstract

Technological systems are becoming increasingly smarter, which causes a shift in the way they are seen: from tools used to execute specific tasks to social counterparts with whom to cooperate. To ensure that these interactions are successful, trust has proven to be the most important driver. We conducted an extensive and structured review with the goal to reveal all previously researched antecedents influencing the human trust in technology-based counterparts. In doing so, we synthesised 179 papers and uncovered 479 trust antecedents. We assigned these antecedents to four main groups. Three of them have been explored before: environment, trustee, and trustor. Within this paper, we argue for a fourth group, the interaction. This quadripartition allows the inclusion of antecedents that were not considered previously. Moreover, we critically question the practice of uncovering more and more trust antecedents, which already led to an opaque plethora and thus becomes increasingly complex for practitioners. Future designers of intelligent and interactive technology will have to consider trust to a greater extent. We emphasise that there are far more trust antecedents - and interdependencies - to consider than the ethically motivated discussions about "Trustworthy AI" suggest. For this purpose, we derived a trust map as a sound basis.

摘要

技术系统变得越来越智能化,这导致人们看待它们的方式发生了转变:从用于执行特定任务的工具转变为与之合作的社交伙伴。为了确保这些交互取得成功,信任已被证明是最重要的驱动因素。我们进行了广泛而结构化的综述,旨在揭示所有先前研究过的影响人类对基于技术的伙伴的信任的前因。在这样做的过程中,我们综合了 179 篇论文,发现了 479 个信任前因。我们将这些前因分为四个主要组。其中三个已经在之前的研究中进行了探讨:环境、受托人、信任人。在本文中,我们主张第四个群组,即交互。这种四分法允许包含以前未考虑的前因。此外,我们对不断揭示越来越多的信任前因的做法提出了质疑,这已经导致了不透明的大量涌现,从而使实践者越来越难以理解。智能和交互技术的未来设计者将不得不更加重视信任。我们强调,需要考虑的信任前因和相互依存关系比关于“值得信赖的人工智能”的伦理讨论所暗示的要多得多。为此,我们得出了信任图作为一个可靠的基础。

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