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  • 2019

  • Bhagya, S. M.; Samarakoon, P.; Viraj, M. A.; Muthugala, J.; Buddhika, A. G.; Jayasekara, P.; Elara, M. R. (2019) : An Exploratory Study on Proxemics Preferences of Humans in Accordance with Attributes of Service Robots: 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN): 2019 28th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN): New Delhi, India: IEEE, S. 1-7

    DOI: https://doi.org/10.1109/RO-MAN46459.2019.8956297 

    Abstract: Service robots that possess social interactive capabilities are vital to cater to the demand in emerging domains of robotic applications. A service robot frequently needs to interact with users when performing service tasks. The comfortability of users depends on the human-robot proxemics during these interactions. Hence, a service robot should be capable of maintaining proper proxemics that improves the comfort of users. The proxemics preferences of users might depend on diverse attributes of a robot, such as emotional state, noise level, and physical appearance. Therefore, it is vital to gain a better understanding of a robot's attributes which influence human-robot proxemics behavior. This paper contributes to an exploratory study to analyze the effects on human-robot proxemics preferences due to a robot's attributes; facial and vocal emotions, level of internal noises, and the physical appearance. Four sub-studies have been conducted to gather the required human-robot proxemics data. The gathered data have been analyzed through statistical tests. The test statistics reveal that facial and vocal emotions, internal noise level, and the physical appearance of a robot have significant effects on proxemics preferences of humans. The outcomes of this exploratory study would be useful in designing and developing human-robot proxemics strategies of a service robot that would enhance social interaction.

    Keywords: emotion & social robotics, Human Factors, human-robot interaction, human-robot proxemics behavior, human-robot proxemics data, human-robot proxemics preferences, human-robot proxemics strategies, ieee xplore, Proxemics, robotic applications, service robot, service robotic, Social robotic, statistical testing, statistical tests

  • 2006

  • Gockley, R.; Simmons, R.; Forlizzi, J. (2006) : Modeling Affect in Socially Interactive Robots: ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication: ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human: Hatfield, UK: IEEE, S. 558-563

    DOI: https://doi.org/10.1109/ROMAN.2006.314448 

    Abstract: Humans use expressions of emotion in a very social manner, to convey messages such as "I'm happy to see you" or "I want to be comforted," and people's long-term relationships depend heavily on shared emotional experiences. We believe that for robots to interact naturally with humans in social situations they should also be able to express emotions in both short-term and long-term relationships. To this end, we have developed an affective model for social robots. This generative model attempts to create natural, human-like affect and includes distinctions between immediate emotional responses, the overall mood of the robot, and long-term attitudes toward each visitor to the robot. This paper presents the general affect model as well as particular details of our implementation of the model on one robot, the Roboceptionist

    Keywords: Cultural differences, Displays, emotion & social robotics, emotion recognition, Global communication, human emotion, Human robot interaction, Humanoid Robots, ieee xplore, interactive systems, man-machine systems, Medical services, Mood, Orbital robotics, Roboceptionist, Senior citizens, Social robotic, socially interactive robots
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