会话代理感知有用性预测航空航天领域搜索性能

Alexandre Arnold, Gérard Dupont, Catherine Kobus, François Lancelot, Ying-Hsang Liu
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引用次数: 3

摘要

本文提出了一种以用户为中心的对话搜索用户界面的设计和评估方法,以支持驾驶舱内的飞行员。我们的受控用户实验结果表明,用户对系统在完成搜索任务方面的有用性的感知以及系统对主题相关性的响应是搜索性能的良好预测指标。用户对系统响应的满意度可能不能很好地预测在生命安全场景下的搜索性能,比如飞行员的驾驶舱程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Perceived Usefulness of Conversational Agents Predicts Search Performance in Aerospace Domain
This paper presents a user-centered approach to the design and evaluation of conversational search user interfaces to support the pilot in cockpits. Our findings of a controlled user experiment suggest that user perception of the usefulness of the system in completing the search task and the system's responses to the relevance of the topic are good predictors of search performance. User satisfaction with the system's responses may not be a good predictor of search performance in the context of safety of life scenarios such as cockpit procedures for pilots.
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