论文标题
建立信任的对话措施
Towards a Conversational Measure of Trust
论文作者
论文摘要
人类和代理商之间日益协作的决策过程要求对代理商的信任进行全面，连续且不引人注目。衡量信任的黄金标准格式，李克特风格的调查，受到动态人类代理相互作用的主要限制。我们提出了一种新的方法来评估对非定向和关系对话的信任。非指示性一词是指开放式提示中的抽象单词选择，该提示可以探究受访者自由描述其态度。关系术语是指交互式对话，其中受访者可以在后续问题中阐明他们的回答。我们提出了一个系统的过程，用于通过使用先前验证的信任量表的文本分析来生成基于非信任的提示。这种非定向和关系方法提供了互补的信任度量，可以在整个人类代理人的互动过程中毫不客气地引起有关情境信任的丰富而动态的信息。
The increasingly collaborative decision-making process between humans and agents demands a comprehensive, continuous, and unobtrusive measure of trust in agents. The gold standard format for measuring trust, a Likert-style survey, suffers from major limitations in dynamic human-agent interactions. We proposed a new approach to evaluate trust in a nondirective and relational conversation. The term nondirective refers to abstract word selections in open-ended prompts, which can probe respondents to freely describe their attitudes. The term relational refers to interactive conversations where respondents can clarify their responses in followup questions. We propose a systematic process for generating nondirective trust-based prompts by using text analysis from previously validated trust scales. This nondirective and relational approach provides a complementary trust measurement, which can unobtrusively elicit rich and dynamic information on situational trust throughout a human-agent interaction.
