论文标题
评估虚拟人类培训师的反馈策略
Evaluating Feedback Strategies for Virtual Human Trainers
论文作者
论文摘要
在本文中，我们针对自主虚拟教练的反馈策略。首先，进行了一项试点研究，以识别和指定反馈策略，以帮助参与者执行给定的任务。该任务涉及根据所显示的国家 /地区的区域对虚拟立方体进行分类。指定了两种反馈策略。第一个通过在任务的每个阶段充分纠正用户响应来提供正确的反馈，而第二个则仅通过通知是否可以纠正响应以及如何纠正响应来提供暗示的反馈。两种策略均在虚拟培训系统中实施并进行了经验评估。正确性反馈策略是参与者首选的，更有效的时间，并且在提高任务绩效技能方面更有效。总体系统也被评为与假设执行相同任务与实际交互作用相同的额定值。
In this paper we address feedback strategies for an autonomous virtual trainer. First, a pilot study was conducted to identify and specify feedback strategies for assisting participants in performing a given task. The task involved sorting virtual cubes according to areas of countries displayed on them. Two feedback strategies were specified. The first provides correctness feedback by fully correcting user responses at each stage of the task, and the second provides suggestive feedback by only notifying if and how a response can be corrected. Both strategies were implemented in a virtual training system and empirically evaluated. The correctness feedback strategy was preferred by the participants, was more effective time-wise, and was more effective in improving task performance skills. The overall system was also rated comparable to hypothetically performing the same task with real interactions.
