Postural interaction is of major importance during job interviews. While several prototypes enable users to rehearse for public speaking tasks and job interviews, few of these prototypes support subtle bodily interactions between the user and a virtual agent playing the role of an interviewer. The design of our system is informed by a multimodal corpus that was previously collected. In this paper, we explain how we were inspired by these video recordings of human interviewers to build a library of motion-captured movements that interviewers are most likely to display. We designed a fully automatic interactive virtual agent able to display these movements in response to the bodily movements of the user. Thirty-two participants presented themselves to this virtual agent during a simulated job interview. We focused on the self-presentation task of the job interview, the virtual agent being listening. Participants stood on a force platform that recorded the displacements of their center of pressure to assess the postural impact of our design. We also collected video recordings of their movements and computed the contraction index and the quantity of motion of their bodies. We explain the different hypotheses that we made concerning (1) the comparison between the performance of participants with human interviewers and the performance of participants with virtual interviewers, (2) the comparison between mirror and random postural behaviors displayed by a female versus a male virtual interviewer, and (3) the correlation between the participants' performance and their personality traits. Our results suggest that users perceive the simulated self-presentation task with the virtual interviewer as threatening and as difficult as the presentation task with the human interviewers. Furthermore, when users interact with a virtual interviewer that mirrors their postures, these users perceive the interviewer as being affiliative. Finally, a correlation analysis showed that personality traits had a significant relation to the postural behaviors and performance of the users during their presentation.

中文翻译：

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在模拟工作面试期间设计和评估用户和倾听虚拟代理之间的姿势交互

在求职面试中，姿势互动非常重要。虽然有几个原型使用户能够为公开演讲任务和工作面试进行排练，但这些原型中很少有支持用户和扮演面试官角色的虚拟代理之间微妙的身体交互。我们系统的设计是由先前收集的多模态语料库提供的。在本文中，我们解释了我们是如何从面试官的这些视频记录中获得灵感的，从而构建了一个面试官最有可能展示的动作捕捉动作库。我们设计了一个全自动交互式虚拟代理，能够根据用户的身体动作显示这些动作。32 名参与者在模拟工作面试中向这个虚拟代理展示了自己。我们专注于工作面试的自我展示任务，虚拟代理正在倾听。参与者站在一个力量平台上，记录他们压力中心的位移，以评估我们设计的姿势影响。我们还收集了他们运动的视频记录，并计算了他们身体的收缩指数和运动量。我们解释了我们提出的不同假设：（1）参与者与人工面试官的表现与虚拟面试官的参与者表现之间的比较，（2）女性与男性虚拟呈现的镜像和随机姿势行为之间的比较面试官，以及（3）参与者的表现与他们的人格特征之间的相关性。我们的结果表明，用户认为虚拟面试官的模拟自我展示任务与人工面试官的演示任务一样具有威胁性和难度。此外，当用户与反映他们姿势的虚拟面试官互动时，这些用户会认为面试官是亲和的。最后，相关性分析表明，人格特质与用户在演示过程中的姿势行为和表现有显着关系。