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Greeting gestures are one of the most important aspects of social robot behavior design. Existing research has shown different greeting gesture design methods for social robots when they interact with humans. However, cultural difference, which is an important factor between human greetings, is less explored for robot greeting gesture design. In th...
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Context 1
... idea of robot greeting gesture design comes from human-human gestures, which are an essential part of human introductions. Figure 2 shows a common human-human greeting gesture, while Fig. 3 shows greeting gestures in Japan and Thailand. Greeting has been shown to take different forms in different cultures, including verbal and nonverbal aspects of the interaction. Researchers have also argued that robots should adapt to cultural differences in order to communicate effectively. In one study, a humanoid robot performed physical gestures including bowing, raising a hand, moving it to the heart and nodding. Results showed that participants felt more comfortable when interacting with a robot that greets using language and gestures that matched the partic- ipants' culture ...
Context 2
... idea of robot greeting gesture design comes from human-human gestures, which are an essential part of human introductions. Figure 2 shows a common human-human greeting gesture, while Fig. 3 shows greeting gestures in Japan and Thailand. Greeting has been shown to take different forms in different cultures, including verbal and nonverbal aspects of the interaction. Researchers have also argued that robots should adapt to cultural differences in order to communicate effectively. In one study, a humanoid robot performed physical gestures including bowing, raising a hand, moving it to the heart and nodding. Results showed that participants felt more comfortable when interacting with a robot that greets using language and gestures that matched the partic- ipants' culture ...
Context 3
... idea of robot greeting gesture design comes from human-human gestures, which are an essential part of human introductions. Figure 2 shows a common human-human greeting gesture, while Fig. 3 shows greeting gestures in Japan and Thailand. Greeting has been shown to take different forms in different cultures, including verbal and nonverbal aspects of the interaction. Researchers have also argued that robots should adapt to cultural differences in order to communicate effectively. In one study, a humanoid robot performed physical gestures including bowing, raising a hand, moving it to the heart and nodding. Results showed that participants felt more comfortable when interacting with a robot that greets using language and gestures that matched the partic- ipants' culture ...
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... Another study investigated how robot therapy with autistic individuals differs depending on the cultural background between patients from Asian and Eastern European cultural backgrounds and found significant differences [4]. A particularly interesting example can be seen in a study that investigated differences in greeting practices by country and its relevance to HRI [42]. Compared to robots greeting with general gestures that are widely used around the world, greeting with each culture's native gesture was shown to make users feel closer to the robots and increase ratings of likeability towards the robot. ...
Socially-assistive robots (SARs) have significant potential to help manage chronic diseases (e.g. dementia, depression, diabetes) in spaces where people live, averse to clinic-based care. However, the challenge is designing SARs so that they perform appropriate interactions with people who have different characteristics, such as age, gender, and cultural identity. Those characteristics impact how human behaviors are performed as well as user expectations of robot responses. Although cross-cultural studies with robots have been conducted to understand differing population characteristics, they have mainly focused on statistical comparisons of groups. In this study, we utilize deep learning (DL) and machine learning (ML) models to evaluate whether cultural differences show up in robotic sensor data during human-robot interaction (HRI). To do so, a SAR was distributed to user's homes for three weeks in the US and Korea (25 participants), while collecting data on the human activity and the surrounding environment through on-board sensor devices. DL models based on that data were able to predict the user’s cultural identity with roughly 95% accuracy. Such findings have potential implications for the design and development of culturally-adaptive SARs to provide services across diverse cultural locales and multi-cultural environments where users’ cultural background cannot be assumed a priori.
... It reveals information about a person's mental condition by delving into their sensations on the inside. However, more research has been conducted on human facial expression recognition for autonomous in recent years and human-computer interaction with a broad range of applications in automation like social robot interaction [2], advertisement [3], medical application like medical diagnosis at early stage [4,5], sentiment analysis [6,7], psychology [8], neuroscience and medicine [9], augmented reality [10], and security monitoring [11]. Convolutional neural networks (CNNs) are a common deep learning technique for image identification, segmentation, and classification established by Bengio et al. [12]. ...
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The evolving field of human-robot interaction (HRI) necessitates that we better understand how social robots operate and interact with humans. This scoping review provides an overview of about 300 research works focusing on the use of the NAO robot from 2010 to 2020. This study presents one of the most extensive and inclusive pieces of evidence on the deployment of the humanoid NAO robot and its global reach. Unlike most reviews, we provide both qualitative and quantitative results regarding how NAO is being used and what has been achieved so far. We analyzed a wide range of theoretical, empirical, and technical contributions that provide multidimensional insights, such as general trends in terms of application, the robot capabilities, its input and output modalities of communication, and the human-robot interaction experiments that featured NAO (e.g. number and roles of participants, design, and the length of interaction). Lastly, we derive from the review some research gaps in current state-of-the-art and provide suggestions for the design of the next generation of social robots.
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Socially Assistive Robotics (SAR) aim at supporting their users, through social interaction, in carrying out various tasks. One of the areas in which SARs are widely used is teaching foreign/second languages, particularly to children. Socially Assistive Robots create incentives, shape appropriate attitudes, and foster suitable conditions to support learning through the social relationships developed with humans. This paper examines the extent to which a SAR could be utilized to teach the Pontic dialect to adults. For this purpose, four educational activities were designed with specific learning goals incorporated into the curriculum. A total of thirty adult students participated individually in this teaching intervention and then expressed their impressions and attitudes during personal semi-structured interviews. At the same time, the activities were recorded on video. The research data were analyzed based on qualitative research methods. The data analysis found that most participants viewed the endeavor favorably. Interaction with the SAR strengthened a positive learning atmosphere and stirred their interest. All participants made positive remarks on the fact that they had the ability to engage in language activities in an alternative, pleasant manner. However, some of them highlighted the absence of deeper and more substantial communication that is achieved between humans, a shortcoming that is the result of the currently unsolved design weaknesses of robots. Nevertheless, indications are positive and there is interest in further research on the use of SAR in teaching languages to adults.
