실환경 전시관 안내 서비스 로봇에 대한 방문객 행동 분석 연구
Analysis of Visitor Behaviors toward Museum Guide Robot in the Real World
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초록
To study human-robot interaction in the real world, we adopted the observational research method commonly used in psychological studies and behavioral sciences.We collected video data from the RoboLife Museum and developed a behavior coding scheme that can interpret visitor’s interaction toward the museum guide robot. Then, the visitor behaviors were coded based on the proposed coding scheme that was evaluated by the inter-coder reliability. The statistical analysis across different user groups, such as sex and age was performed. The results showed no significant difference between males and females. However, children were significantly more engaged in interacting with the museum guide robot than adults. It suggested that the robot-based guide services should be improved as more child-centered.
Abstract
To study human-robot interaction in the real world, we adopted the observational research method commonly used in psychological studies and behavioral sciences.We collected video data from the RoboLife Museum and developed a behavior coding scheme that can interpret visitor’s interaction toward the museum guide robot. Then, the visitor behaviors were coded based on the proposed coding scheme that was evaluated by the inter-coder reliability. The statistical analysis across different user groups, such as sex and age was performed. The results showed no significant difference between males and females. However, children were significantly more engaged in interacting with the museum guide robot than adults. It suggested that the robot-based guide services should be improved as more child-centered.
참고문헌 (13)
- S. Ivanov, "Progress on Robotics in Hospitality and Tourism : a Review of The Literature", J. of Hospitality and Tourism Technology, 10(4), pp.489~521 (2019)[DOI]
- L. Fuentes-Moraleda, "Willingness to Accept Social Robots in Museums : an Exploratory Factor Analysis According to Visitor Profile", Library Hi Tech, 40(4), pp.894~913 (2021)[DOI]
- J. Park, "User Perception on Personalized Explanation by Science Museum Docent Robot", 2022 17th ACM, 2022, 973~975
- F. Duchetto, "Lindsey the Tour Guide Robot-Usage Patterns in a Museum Long-Term Deployment", 28th IEEE Int. Conf. on Robot and Human Interactive Communication (RO-MAN), pp.1~8 (2019)
- F. Babel, "Findings from a Qualitative Field Study with an Autonomous Robot in Public : Exploration of User Reactions and Conflicts", Int. J. of Social Robotics, 14(7), pp.1625~1655 (2022)[DOI]
- C. Heath, "Video in Qualitative Research", Analysing Social Interaction in Everyday Life (2010)[DOI]
- X. Indurkhya, "Lessons in Developing a Behavioral Coding Protocol to Analyze In-the-Wild Child–Robot Interaction Events and Experiments", Electronics, 13(7) (2024)[DOI]
- M. Hulcelle, "TURIN : A coding system for Trust in hUman Robot Interaction", 2021 9th Int. Conf. on Affective Computing and Intelligent Interaction (ACII), pp.1~8 (2021)
- M. Giuliani, "Systematic Analysis of Video Data from Different Human–Robot Interaction Studies : a Categorization of Social Signals during Error Situations", Frontiers in Psychology, 6 (2015)[DOI]
- E. Hall, "Spaces of Social Inclusion and Belonging for People with Intellectual Disabilities", J. of Intellectual Disability Research, 54(s1), pp.48~57 (2010)[DOI]
- K. Fischer, "Initiating Interactions and Negotiating Approach : a Robotic Trash Can in the Field", AAAI Spring Symposium, pp.10~16 (2015)
- A. Andrés, "New Instrumentation for Human Robot Interaction Assessment Based on Observational Methods", J. of Ambient Intelligence and Smart Environments, 7(4), pp.397~413 (2015)[DOI]
- H. Lausberg, "Coding Gestural Behavior with the NEUROGES-ELAN System", Behavior Research Methods, 41, pp.841~849 (2009)[DOI]