• Title/Summary/Keyword: User-Companion robot Interaction

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Design of the emotion expression in multimodal conversation interaction of companion robot (컴패니언 로봇의 멀티 모달 대화 인터랙션에서의 감정 표현 디자인 연구)

  • Lee, Seul Bi;Yoo, Seung Hun
    • Design Convergence Study
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    • v.16 no.6
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    • pp.137-152
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    • 2017
  • This research aims to develop the companion robot experience design for elderly in korea based on needs-function deploy matrix of robot and emotion expression research of robot in multimodal interaction. First, Elder users' main needs were categorized into 4 groups based on ethnographic research. Second, the functional elements and physical actuators of robot were mapped to user needs in function- needs deploy matrix. The final UX design prototype was implemented with a robot type that has a verbal non-touch multi modal interface with emotional facial expression based on Ekman's Facial Action Coding System (FACS). The proposed robot prototype was validated through a user test session to analyze the influence of the robot interaction on the cognition and emotion of users by Story Recall Test and face emotion analysis software; Emotion API when the robot changes facial expression corresponds to the emotion of the delivered information by the robot and when the robot initiated interaction cycle voluntarily. The group with emotional robot showed a relatively high recall rate in the delayed recall test and In the facial expression analysis, the facial expression and the interaction initiation of the robot affected on emotion and preference of the elderly participants.

Text-Mining Analysis on the Interaction between the American Consumers Aged over 60 and Companion Pets Robots: Focused on Amazon Reviews for Joy For All Companion Pets (텍스트 마이닝을 활용한 미국 노년 소비자와 애완용 로봇 간 상호작용에 대한 분석: Joy For All Companion Pets에 대한 아마존 리뷰를 중심으로)

  • Chung, Yea-Eun;Lee, Yu Lim;Chung, Jae-Eun
    • Journal of Digital Convergence
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    • v.19 no.10
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    • pp.469-489
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    • 2021
  • This study explores consumers' responses to socially assistive robotics by using text-mining method focusing on Companion Pets from Hasbro as it gives emotional support. We conducted text frequency analysis, LDA analysis using R programming. The key findings are 1)the most frequently used words the mimicry of living pets and the appearance of companion pets, 2)the five topics were derived from the LDA analysis and classified keywords in each topic split between positive and negative, 3)user, product, environment affect the interaction between consumer and companion pets, 4)consumers who have difficulty in cognition and physical conditions use companion pets to replace living pets. This study provides an understanding of consumer responses in companion pets and gives practical implications that may improve the efficacy of usage for consumers and understand the companion robot, which provides emotional support in COVID-19.

Considerable Factors According to Classification of Social Robot Services (소셜 로봇 서비스의 유형화에 따른 유형별 고려 요소)

  • Lee, Ki-Lim;Jeong, Min-Ji;Choi, Seungyeon;Park, Jae Wan
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.8 no.8
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    • pp.883-892
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    • 2018
  • Recently, as interest in social robots to support physical convenience and emotional sympathy has increased, and social internet has developed, a social robot has evolved as various services simply beyond robot function. Therefore, to develop a social robot service effectively, it is required to study the functional application and methods of interaction between user and social robot service. The purpose of this study is to classify social robot services and to suggest the types of elements that need to be considered in service development. To do this, we conducted in-depth case studies and analysis based on the theoretical definitions and characteristics of social robots. Then, based on the sympathy and functions, we classified social robot services into 1) emotional support type, 2) companion type, 3) guide type, and 4) life support type. In addition, in this study, we derive the considerable factors according to the classified types for the development of effective social robot services. This study will contribute to the understanding and development of various services using a social robot.