To Err is Human(-like): Effects of Robot Gesture on Perceived Anthropomorphism and Likability
To Err is Human(-like): Effects of Robot Gesture on Perceived Anthropomorphism and Likability
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DOI：
10.1007/s12369-013-0196-9
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发表时间：
2013-08-01
影响因子：
4.7
通讯作者：
Joublin, Frank
中科院分区：
文献类型：
--
作者：
Salem, Maha;Eyssel, Friederike;Joublin, Frank
以前的工作表明，非语言行为会影响对虚拟代理或社交机器人等人工通信者的拟人化推断。在一个实验中，与人形机器人，我们研究了机器人的手和手臂的姿态对感知的人性化，可爱的机器人，共享的现实，和未来的接触意图与机器人互动后的影响。为此，拟人机器人的语音伴随的非言语行为被操纵在三个实验条件下：（1）没有手势，（2）一致的协同言语手势，和（3）不一致的协同言语手势。我们假设在两个多模态（即，语音和手势）条件与单峰（即，仅限演讲）。结果证实了我们的预测：当机器人在交互过程中使用共同语言手势时，它被更多地拟人化，参与者认为它更讨人喜欢，报告了更多的共享现实，并且显示出比机器人在没有手势的情况下给出指令时更多的未来接触意图。令人惊讶的是，当机器人的手势与语音部分不一致时，这种效果特别明显，尽管这种行为对参与者的任务相关表现产生了负面影响。这些研究结果表明，机器人系统所表现出的交流非语言行为会影响拟人感知和人类在交互过程中形成的人形机器人的心理模型。
Previous work has shown that non-verbal behaviors affect anthropomorphic inferences about artificial communicators such as virtual agents or social robots. In an experiment with a humanoid robot we investigated the effects of the robot's hand and arm gestures on the perception of humanlikeness, likability of the robot, shared reality, and future contact intentions after interacting with the robot. For this purpose, the speech-accompanying non-verbal behaviors of the humanoid robot were manipulated in three experimental conditions: (1) no gesture, (2) congruent co-verbal gesture, and (3) incongruent co-verbal gesture. We hypothesized higher ratings on all dependent measures in the two multimodal (i.e., speech and gesture) conditions compared to the unimodal (i.e., speech only) condition. The results confirm our predictions: when the robot used co-verbal gestures during interaction, it was anthropomorphized more, participants perceived it as more likable, reported greater shared reality with it, and showed increased future contact intentions than when the robot gave instructions without gestures. Surprisingly, this effect was particularly pronounced when the robot's gestures were partly incongruent with speech, although this behavior negatively affected the participants' task-related performance. These findings show that communicative non-verbal behaviors displayed by robotic systems affect anthropomorphic perceptions and the mental models humans form of a humanoid robot during interaction.