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See You See Me: the Role of Eye Contact in Multimodal Human-Robot Interaction

机译:看见你看见我:眼神交流在多模式人机交互中的作用

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摘要

We focus on a fundamental looking behavior in human-robot interactions – gazing at each other’s face. Eye contact and mutual gaze between two social partners are critical in smooth human-human interactions. Therefore, investigating at what moments and in what ways a robot should look at a human user’s face as a response to the human’s gaze behavior is an important topic. Toward this goal, we developed a gaze-contingent human-robot interaction system, which relied on momentary gaze behaviors from a human user to control an interacting robot in real time. Using this system, we conducted an experiment in which human participants interacted with the robot in a joint attention task. In the experiment, we systematically manipulated the robot’s gaze toward the human partner’s face in real time and then analyzed the human’s gaze behavior as a response to the robot’s gaze behavior. We found that more face looks from the robot led to more look-backs (to the robot’s face) from human participants and consequently created more mutual gaze and eye contact between the two. Moreover, participants demonstrated more coordinated and synchronized multimodal behaviors between speech and gaze when more eye contact was successfully established and maintained.
机译:我们专注于人机交互中的基本外观行为-凝视彼此的脸。两个社会伙伴之间的眼神交流和相互注视对于人与人之间的顺畅互动至关重要。因此,研究机器人应在什么时候以什么方式注视人类用户的面部以响应人类的凝视行为是一个重要的话题。为了实现这一目标,我们开发了视线偶然的人机交互系统,该系统依靠人类用户的瞬时视线行为来实时控制交互的机器人。使用该系统,我们进行了一项实验,在该实验中,人类参与者与机器人在共同注意任务中进行了交互。在实验中,我们系统地实时操纵了机器人对人类伴侣脸部的凝视,然后分析了人类的凝视行为以回应机器人的凝视行为。我们发现,机器人产生的更多面部表情导致人类参与者产生了更多的回望(机器人面孔),因此在两者之间产生了更多的相互注视和目光接触。此外,当成功建立并保持更多的眼神接触时,参与者展示出语音和凝视之间更协调,更同步的多峰行为。

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