Advancing Trust Visualisations for Wider Applicability and User Acceptance

O. Kulyk, B. Reinheimer, Paul Gerber, Florian Volk, M. Volkamer, M. Mühlhäuser
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引用次数: 1

Abstract

There are only a few visualisations targeting the communication of trust statements. Even though there are some advanced and scientifically founded visualisations—like, for example, the opinion triangle, the human trust interface, and T-Viz—the stars interface known from e-commerce platforms is by far the most common one. In this paper, we propose two trust visualisations based on T-Viz, which was recently proposed and successfully evaluated in large user studies. Despite being the most promising proposal, its design is not primarily based on findings from human-computer interaction or cognitive psychology. Our visualisations aim to integrate such findings and to potentially improve decision making in terms of correctness and efficiency. A large user study reveals that our proposed visualisations outperform T-Viz in these factors.
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为更广泛的适用性和用户接受推进信任可视化
只有几个可视化的目标是信任语句的沟通。尽管有一些先进的、有科学依据的可视化方法,比如意见三角、人际信任界面和t - viz,但电子商务平台上的明星界面是迄今为止最常见的一种。在本文中,我们提出了两种基于T-Viz的信任可视化,这是最近在大型用户研究中提出并成功评估的。尽管这是最有希望的提议,但它的设计主要不是基于人机交互或认知心理学的发现。我们的可视化旨在整合这些发现,并潜在地提高决策的正确性和效率。一项大型用户研究表明,我们提出的可视化在这些因素上优于T-Viz。
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