The bridging research between Human-Computer Interaction and Natural Language Processing is developing quickly these years. However, there is still a lack of formative guidelines to understand the human-machine interaction in the NLP loop. When researchers crossing the two fields talk about humans, they may imply a user or labor. Regarding a human as a user, the human is in control, and the machine is used as a tool to achieve the human's goals. Considering a human as a laborer, the machine is in control, and the human is used as a resource to achieve the machine's goals. Through a systematic literature review and thematic analysis, we present an interaction framework for understanding human-machine relationships in NLP. In the framework, we propose four types of human-machine interactions: Human-Teacher and Machine-Learner, Machine-Leading, Human-Leading, and Human-Machine Collaborators. Our analysis shows that the type of interaction is not fixed but can change across tasks as the relationship between the human and the machine develops. We also discuss the implications of this framework for the future of NLP and human-machine relationships.
翻译:这些年来,人类-计算机互动和自然语言处理之间的衔接研究正在迅速发展。然而,目前仍然缺乏理解NLP环形中人类-机器互动的成型指南。当研究人员跨过这两个领域谈论人类时,它们可能意味着一个用户或劳动力。关于人类作为用户,人类处于控制之中,机器被用作实现人类目标的工具。把人类视为劳动力,机器处于控制之中,人类被用作实现机器目标的资源。通过系统化的文献审查和专题分析,我们提出了一个理解NLP中人类-机器关系的互动框架。在这个框架中,我们提出了四种类型的人类-机器互动:人类-教师和机器-实验室、机器-导师、人体-导师和人体-机器协作者。我们的分析表明,由于人类与机器之间的关系的发展,互动的类型不是固定的,但可以随着任务的不同而变化。我们还讨论了这一框架对NLP的未来和人类-机器关系的影响。