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基于人类个性的机器人非言语行为与人类喜好度之间的关系。

The Relationship between Robot's Nonverbal Behaviour and Human's Likability Based on Human's Personality.

机构信息

Department of Computational Intelligence and Systems Science, Tokyo Institute of Technology, Yokohama, Japan.

Department of Computer Science, Tokyo Institute of Technology, Yokohama, Japan.

出版信息

Sci Rep. 2018 May 30;8(1):8435. doi: 10.1038/s41598-018-25314-x.

DOI:10.1038/s41598-018-25314-x
PMID:29849079
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5976716/
Abstract

At current state, although robotics technology has been immensely developed, the uncertainty to completely engage in human-robot interaction is still growing among people. Many current studies then started to concern about human factors that might influence human's likability like human's personality, and found that compatibility between human's and robot's personality (expressions of personality characteristics) can enhance human's likability. However, it is still unclear whether specific means and strategy of robot's nonverbal behaviours enhances likability from human with different personality traits and whether there is a relationship between robot's nonverbal behaviours and human's likability based on human's personality. In this study, we investigated and focused on the interaction via gaze and head nodding behaviours (mutual gaze convergence and head nodding synchrony) between introvert/extravert participants and robot in two communication strategies (Backchanneling and Turn-taking). Our findings reveal that the introvert participants are positively affected by backchanneling in robot's head nodding behaviour, which results in substantial head nodding synchrony whereas the extravert participants are positively influenced by turn-taking in gaze behaviour, which leads to significant mutual gaze convergence. This study demonstrates that there is a relationship between robot's nonverbal behaviour and human's likability based on human's personality.

摘要

目前，尽管机器人技术已经得到了极大的发展，但人们对完全参与人机交互的不确定性仍在不断增加。许多当前的研究开始关注可能影响人类喜好度的人类因素，例如人类的个性，并发现人类和机器人个性之间的兼容性（个性特征的表达）可以增强人类的喜好度。然而，目前还不清楚机器人的非言语行为的具体手段和策略是否能提高具有不同个性特征的人类的喜好度，以及机器人的非言语行为和人类的喜好度是否基于人类的个性存在关系。在这项研究中，我们研究并关注了内向/外向参与者与机器人之间通过目光和点头行为（相互目光汇聚和头部点头同步）的交互，以及两种沟通策略（反馈和轮流）。我们的研究结果表明，内向参与者受到机器人点头行为中反馈的积极影响，从而导致显著的头部点头同步，而外向参与者受到目光行为中轮流的积极影响，从而导致显著的相互目光汇聚。这项研究表明，机器人的非言语行为与人类的喜好度之间存在基于人类个性的关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc66/5976716/f5470d1851c7/41598_2018_25314_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc66/5976716/b241db2f1a4d/41598_2018_25314_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc66/5976716/8e71d396d4d0/41598_2018_25314_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc66/5976716/26e1e633ac80/41598_2018_25314_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc66/5976716/ade547697f62/41598_2018_25314_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc66/5976716/f5470d1851c7/41598_2018_25314_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc66/5976716/b241db2f1a4d/41598_2018_25314_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc66/5976716/8e71d396d4d0/41598_2018_25314_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc66/5976716/26e1e633ac80/41598_2018_25314_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc66/5976716/ade547697f62/41598_2018_25314_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc66/5976716/f5470d1851c7/41598_2018_25314_Fig5_HTML.jpg

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