评估领域独立的企业学习聊天机器人的期望和潜力

Fabian Dopler, Bernhard Göschlberger
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引用次数: 0

摘要

自然语言处理技术的不断发展导致了新一代的转换代理在不同的应用领域。教育领域的一个特殊挑战是如何处理不同的知识领域,从而使聊天机器人能够进行领域独立学习。为了实现这样一个系统的未来发展,我们通过Wizard-of-Oz研究调查了用户在使用聊天机器人学习时的不同期望和满意度。随后,我们对学习者的意图进行了识别和分类。该研究显示出较高的接受度和进一步与该系统互动的意愿。从我们的研究结果中可以得出技术需求,以便在未来为企业电子学习提供独立于领域的聊天机器人。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing expectations and potential of domain independent corporate learning chatbots
Advancing technological developments in Natural Language Processing have led to a new generation of conversional agents for various application domains. A special challenge in the area of education is to handle the different domains of knowledge in order to enable domain independent learning with chatbots. To enable a future development of such a system, we investigate the different expectations of users and their satisfaction when learning with a chatbot through a Wizard-of-Oz study. Subsequently, we identified and categorized intentions of learners. The study shows high acceptance and willingness to further interact with the system. Technical requirements can be derived from our results to enable a domain-independent chatbot for corporate e-learning in the future.
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