What Does it Mean to Trust a Robot?: Steps Toward a Multidimensional Measure of Trust
What Does it Mean to Trust a Robot?: Steps Toward a Multidimensional Measure of Trust
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信任机器人意味着什么？：迈向多维信任衡量标准
DOI：
10.1145/3173386.3176991
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
B. Malle
中科院分区：
文献类型：
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作者：
D. Ullman;B. Malle
对人类互动的信任的研究通常集中在脆弱性，完整性和剥削的概念上，而对人机相互作用的信任的研究通常集中在能力和可靠性上。在这项最初的研究中，我们探讨了信任的这些不同方面是否可以被视为多维概念和信任度量的一部分。我们从字典和信任文献中收集了62个单词，并要求参与者评估这些单词属于“个人”含义或“能力”含义。通过使用主组件分析（PCA）和项目分析的迭代过程，我们得出了四个组件，这些组件捕获了信任概念所占据的多维空间。由此产生的四个组件产生了四个信任子量表，每个分量分别有五个项目，α可靠性如下：功能= .88，伦理= .87，真诚= .84，可靠= .72。
Research on trust in human-human interaction has typically focused on notions of vulnerability, integrity, and exploitation whereas research on trust in human-machine interaction has typically focused on competence and reliability. In this initial study, we explore whether these different aspects of trust can be considered parts of a multidimensional conception and measure of trust. We gathered 62 words from dictionaries and trust literatures and asked participants to evaluate the words as belonging to a "personal" meaning or a "capacity" meaning. Through an iterative process using Principal Components Analysis (PCA) and item analysis, we derived four components that capture the multidimensional space occupied by the concept of trust. The resulting four components yield four subscales of trust with five items each and alpha reliabilities as follows: Capable = .88, Ethical = .87, Sincere = .84, and Reliable = .72.