How an Android Expresses “Now Loading…”: Examining the Properties of Thinking Faces

IF 3.8 2区 计算机科学 Q2 ROBOTICS
Shushi Namba, Wataru Sato, Saori Namba, Alexander Diel, Carlos Ishi, Takashi Minato
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引用次数: 0

Abstract

The “thinking face” is a facial signal used to convey being in thought. For androids, the thinking face may be important to achieve natural human–robot interaction. However, the facial pattern necessary for portraying the thinking face remains unclear and has not yet been investigated in androids. The current study aims to (a) identify the facial patterns when people are engaged in answering complex questions (i.e., thinking face) and (b) clarify whether implementing the observed thinking faces in an android can facilitate natural human–robot interaction. In Study 1, we analyze the facial movements of 40 participants after they are prompted with difficult questions and indicate five facial patterns that corresponded to thinking faces. In Study 2, we further focus on the pattern of furrowing of the brows and narrowing of the eyes among the observed thinking facial patterns and implement this pattern in an android. The results show that thinking faces enhance the perception of being in thought, genuineness, human-likeness, and appropriateness in androids while decreasing eeriness. The free-description data also revealed that negative emotions are attributed to the thinking face. In Study 3, we compared the thinking vs. neutral faces in a question–answer situation. The results showed that the android's thinking face facilitated the perception of being in thought and human-likeness. These findings suggest that the thinking face of androids can facilitate natural human–robot interaction.

Abstract Image

Android 如何表达 "正在加载......":检验思维面孔的属性
思考表情 "是一种面部信号,用于传达思考的状态。对于机器人来说,思考表情对于实现自然的人机交互可能非常重要。然而,描绘思考表情所需的面部模式仍不清楚,也尚未在机器人中进行研究。本研究的目的是:(a)识别人在回答复杂问题时的面部模式(即思考表情);(b)阐明在机器人中实施观察到的思考表情是否能促进自然的人机交互。在研究 1 中,我们分析了 40 名参与者在回答难题后的面部动作,并指出了与思考表情相对应的五种面部模式。在研究 2 中,我们进一步聚焦于观察到的思考表情模式中的皱眉和眯眼模式,并将这一模式应用到机器人中。结果表明,思考脸增强了机器人的思考感、真实感、人似性和适当性,同时降低了阴森感。自由描述数据还显示,负面情绪被归因于思考表情。在研究 3 中,我们在问答情境中比较了思考脸和中性脸。结果表明,机器人的思考表情促进了对思考和人类相似性的感知。这些研究结果表明,机器人的思考表情可以促进自然的人机交互。
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来源期刊
CiteScore
9.80
自引率
8.50%
发文量
95
期刊介绍: Social Robotics is the study of robots that are able to interact and communicate among themselves, with humans, and with the environment, within the social and cultural structure attached to its role. The journal covers a broad spectrum of topics related to the latest technologies, new research results and developments in the area of social robotics on all levels, from developments in core enabling technologies to system integration, aesthetic design, applications and social implications. It provides a platform for like-minded researchers to present their findings and latest developments in social robotics, covering relevant advances in engineering, computing, arts and social sciences. The journal publishes original, peer reviewed articles and contributions on innovative ideas and concepts, new discoveries and improvements, as well as novel applications, by leading researchers and developers regarding the latest fundamental advances in the core technologies that form the backbone of social robotics, distinguished developmental projects in the area, as well as seminal works in aesthetic design, ethics and philosophy, studies on social impact and influence, pertaining to social robotics.
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