2015 IEEE 19th International Conference on Intelligent Engineering Systems (INES) 2015
DOI: 10.1109/ines.2015.7329648
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Proposal of a cloud-based agent for social human-robot interaction that learns from the human experimenters

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Cited by 5 publications
(5 citation statements)
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“…"Researchers have highlighted the need to make AI ready for human interaction" [5]. Human beings need to learn from AI and AI needs to learn from human beings.…”
Section: Human and Ai Interactionmentioning
confidence: 99%
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“…"Researchers have highlighted the need to make AI ready for human interaction" [5]. Human beings need to learn from AI and AI needs to learn from human beings.…”
Section: Human and Ai Interactionmentioning
confidence: 99%
“…Human beings need to learn from AI and AI needs to learn from human beings. "The field of human-robot interaction uses an experimental technique called the Wizard of Oz where the human operator remotely controls the behaviour of AI" [5]. The Wizard of Oz is a technique which enables AI to provide appropriate reactions to human behaviour as well as human expectation.…”
Section: Human and Ai Interactionmentioning
confidence: 99%
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“…Robots can only conduct a restricted range of pre-programmed actions while they stay selfcontained during a discussion. Magyar and Vircikova (2015) advocated using reinforcement learning to change autonomous robotic behavior during interaction while also using the benefits of cloud computing. The main objective is to make robotic behaviors more engaging and effective, in order to better prepare robots for long-term human-robot interaction [48].…”
Section: Schmidt Defined "Interactive Human Centered Artificialmentioning
confidence: 99%
“…On the other hand, in today's robotic applications such as companion robots, human-robot interaction (HRI) is crucial. HRI could be characterized by five factors identified by [11], such as (i) the level of autonomy [12], (ii) the nature of the exchanged information [13], (iii) the structure of the team [14], (iv) the adaptation, learning, and training of the person and the robot [15], and (v) the shape of the task [16].…”
Section: Introductionmentioning
confidence: 99%