• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.5
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• pp.144-149
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• 2013

With the increasing of service robots, human-robot interaction for natural communication between user and robots is becoming more and more important. Especially, face recognition is a key issue of HRI. Even though robots mainly use face detection and recognition to provide various services, it is still difficult to guarantee of performance due to insufficient test methods in real service environment. Now, face recognition performance of most robots is evaluation for engine without consideration for robots. In this paper, we show validity of test method using LED monitor through performance comparison of real images with from images LED monitor.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.3
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• pp.861-870
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• 2017

In this paper, we propose the roles of social robots in educational environments. This proposal becomes an extension of R-learning. The purpose of social robots is the communication and interaction with human. Social robots have two roles. One is similar to the role of educational service robot and the other is communication role with people in education environments. We make an scenario to explain how to operate the roles of social robots using robot jibo SDK. The scenario was designed for mild interaction with the user in the educational environment. And it was made using jibo animation part to control the external reaction of jibo and behaviors part to control the internal reaction in jibo SDK. Social robots collect data effectively, based on grafting technologies and interaction with people in educational environments. Concludingly, various data collected by social robots contribute to solving problems, developing and establishing of educational environments.

• Journal of Institute of Control, Robotics and Systems
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• v.16 no.5
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• pp.481-488
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• 2010

Most public guide robots installed in public spots such as exhibition halls and lobbies of department store etc., have poor capability to distinguish the users who require services. As to provide suitable services, public guide robots should have a human detection system that makes it possible to evaluate intention of customers from their movement direction. In this paper, a DPS (Directional Perception System) is realized based on face detection technology. In particular, to catch human movement efficiently and reduce computational time, human detection technology using face rectangle, which is obtained from the human face, is developed. DPS determines which customer needs services of public guide robots by investigating the size and direction of face rectangle. If DPS is adapted, guide service will be provided with more satisfaction and reliability, and power efficiency also can be added up because public guide robots provide services only for the users who expresses their intentions of wanting services explicitly. Finally, through several experiments, the feasibility of the proposed DPS is verified.

• The Journal of Korea Robotics Society
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• v.6 no.1
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• pp.1-9
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• 2011

An increasing number of researches and developments for personal or professional service robots are attracting a lot of attention and interest industrially and academically during the past decade. Furthermore, the development of intelligent robots is intensively fostered as strategic industry. Until now, most of practical and commercial service robots are worked by remotely operated controller. The most important technical issue of remote control is a wireless communication, especially in the indoor and unstructured environments where communication infrastructures might be destroyed by various disasters. Therefore we propose a multi-robot following navigation method for securing the valid communication distance extension of the remote control based on WPAN(Wireless Personal Area Networks). The concept and implementation of following navigation are introduced and the performance verification is performed through real navigation experiments in real or test-bed environments.

• The Journal of Korea Robotics Society
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• v.14 no.3
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• pp.163-169
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• 2019

Robot ALICE@ERICA is a service robot developed to receive donations and to provide information services. ALICE@ERICA stands for Artificial Learning Intelligence robot for Culture and Entertainment at ERICA. In order to achieve the specific purpose of receiving donations, proper appearance design, appropriate movement and good communication skills are required in terms of HRI. In this paper, we introduce three strategies for developing robots to receive donations effectively. The first is to design a robot that makes people feel intimacy, the second is to approach only one of several people as a donor, and finally the donor communicates with video contents and voice recognition. A survey was conducted on the person who showed the reaction after the robot donated money in public places. Based on the survey results, it is proved that the method presented in this study effectively contributed to fund raising. If robots can perform actions that require high level of HRI, such as donation, robots can contribute more to human society. We hope that this study contributes to the improvement of human happiness.

• Journal of KIISE
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• v.43 no.12
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• pp.1365-1375
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• 2016

One of the most important capabilities for autonomous service robots working in living environments is to recognize and understand the correct context in dynamically changing environment. To generate high-level context knowledge for decision-making from multiple sensory data streams, many technical problems such as multi-modal sensory data fusion, uncertainty handling, symbolic knowledge grounding, time dependency, dynamics, and time-constrained spatio-temporal reasoning should be solved. Considering these problems, this paper proposes an effective dynamic context management and spatio-temporal reasoning method for intelligent service robots. In order to guarantee efficient context management and reasoning, our algorithm was designed to generate low-level context knowledge reactively for every input sensory or perception data, while postponing high-level context knowledge generation until it was demanded by the decision-making module. When high-level context knowledge is demanded, it is derived through backward spatio-temporal reasoning. In experiments with Turtlebot using Kinect visual sensor, the dynamic context management and spatio-temporal reasoning system based on the proposed method showed high performance.

• Journal of Digital Convergence
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• v.11 no.3
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• pp.165-173
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• 2013

The purpose of this study was to investigate the effects of customer's innovation and usefulness on the use intention of Service Robots by potential customers. Based on Davis(1989)'s Technology Acceptance Model, this study formulated three hypotheses, which were about relationships between customer's innovation, usefulness, and use intention of Service Robots. For this study, structured questionnaires were used and data were collected from the 171 people in Seoul and Cheonan. To test three hypotheses, collected data were analyzed using hierarchical regression technique. The results showed that customer's innovation has no influence on usefulness, whereas customer's innovation and usefulness have effects on use intention.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2008.06a
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• pp.153-154
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• 2008

• The Journal of the Korea Contents Association
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• v.22 no.4
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• pp.13-27
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• 2022

This study focused on the role of service robots as employees, and examined how robot services affect customer behavior compared to human employees in service success and failure situations. The three experiments were performed on barista robot, serving robot, and chef robot. The results of this study are as follows. First, in the case of service success, customers showed similar intentions for revisit regardless of employee type. On the other hand, in the case of service failure, the revisit intention was found to be more negative than that of the human employee when the service was received from the robot employee. The reason for this was found to be that customers had lower expectations for the capabilities of service robots compared to humans. Finally, customers perceive that robot services are more stable than human services.

• Journal of The Korean Association of Information Education
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• v.11 no.2
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• pp.195-203
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• 2007

Together with the development of ubiquitous computing technology and robot technology, intelligent type robots are being utilized in many areas and the range is expected to become wider and wider. Among many service robots, the educational robots are being diversely studied in the field with the concept of r-Learning. Presently, teaching assistant robots require a lot of HRI studies prior to their practical use in the very near future and are not sufficient yet. Especially, the reactions of students based of the styles of robots (e.g. serious robot, playful robot) are very important in producing robot contents but there has been no case study on them. Therefore, in this study, the appearance of the IROBI was changed to become a teaching assistant robot and was used to test and compare elementary school students' interest, achievement and concentration depending on the styles of robot (playful, serious). The results showed that the interest was high in the group that had studied with the playful robot. The achievement however, did not show significant relations with the style of robot and that the concentration was high in the group that had studied with the serious robot.