Oertel Catharine, Castellano Ginevra, Chetouani Mohamed, Nasir Jauwairia, Obaid Mohammad, Pelachaud Catherine, Peters Christopher
Interactive Intelligence, Intelligent Systems, EWI, Delft University of Technology, Delft, Netherlands.
Uppsala Social Robotics Lab, Department of Information Technology, Uppsala University, Uppsala, Sweden.
Front Robot AI. 2020 Aug 4;7:92. doi: 10.3389/frobt.2020.00092. eCollection 2020.
Engagement is a concept of the utmost importance in human-computer interaction, not only for informing the design and implementation of interfaces, but also for enabling more sophisticated interfaces capable of adapting to users. While the notion of engagement is actively being studied in a diverse set of domains, the term has been used to refer to a number of related, but different concepts. In fact it has been referred to across different disciplines under different names and with different connotations in mind. Therefore, it can be quite difficult to understand what the meaning of engagement is and how one study relates to another one accordingly. Engagement has been studied not only in human-human, but also in human-agent interactions i.e., interactions with physical robots and embodied virtual agents. In this overview article we focus on different factors involved in engagement studies, distinguishing especially between those studies that address task and social engagement, involve children and adults, are conducted in a lab or aimed for long term interaction. We also present models for detecting engagement and for generating multimodal behaviors to show engagement.
参与度是人机交互中极为重要的概念，不仅有助于界面的设计与实现，还能催生更复杂且能适应用户的界面。尽管参与度这一概念正在众多不同领域积极开展研究，但该术语已被用于指代一系列相关但不同的概念。事实上，它在不同学科中以不同名称出现，且有着不同的内涵。因此，理解参与度的含义以及一项研究与另一项研究之间的关联可能颇具难度。参与度不仅在人与人的交互中得到研究，在人与智能体的交互中也是如此，即与实体机器人和具身虚拟智能体的交互。在这篇综述文章中，我们聚焦于参与度研究涉及的不同因素，特别区分那些涉及任务和社交参与度、涵盖儿童和成人、在实验室进行或旨在实现长期交互的研究。我们还展示了用于检测参与度以及生成多模态行为以展示参与度的模型。
