BabeBay-A Companion Robot for Children Based on Multimodal Affective Computing

Zheng, Meimei; She, Yingying; Fang, Liu; Chen, Jin; Shu, Yang; Xiahou, Jianbing

doi:10.1109/hri.2019.8673163

Cited by 12 publications

(6 citation statements)

References 4 publications

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“…Another field of research where social robotics had applications in affective computing, aiming to understand the effect of a person using specific signals and modalities, and applied in education for example [80]. In [81], a children companion robot was equipped with the capacity of real-time affective computing, allowing the robot to adapt its behavior to the effect of the child it is interacting with, improving the interaction.…”

Section: Other Applications Of Children Companionshipmentioning

confidence: 99%

“…Another humanoid robot of Softbank Robotics, Pepper [121], was also widely used [16,[19][20][21]43]. Other robotic platforms that can be mentioned are ASIMO [44,84,122,123], iCub [124], TERESA [15,22], Double [23,47], Furhat [26,125], Stevie [62,126], LUCA [33] which was inspired by the OPSORO platform [127,128], The Universal Robot Trainer (URT) [70], Kaspar [37,77], Mio Amico [42], Reeti [40,129], BabeBay [81], Kiddo [49], Paro [130,131], Tega [132], and Huggable [133,134]. Additionally, Sophia has emerged as a framework for robotics and artificial intelligence research that made appearances in television shows and conferences, also becoming the world's first robot citizen and the first robot Innovation Ambassador for the United Nations Development Program [135].…”

Section: Robotic Platforms Used In Social Roboticsmentioning

confidence: 99%

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A Survey on Recent Advances in Social Robotics

et al. 2022

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Over decades, social robotics has evolved as a concept that presently covers different areas of application, and interacts with different domains in technology, education, medicine and others. Today, it is possible to envision social robots in tasks that were not expected years ago, and that is not only due to the evolution of social robots, but also to the evolution of the vision humans have for them. This survey addresses recent advances in social robotics from different perspectives. Different contexts and areas of application of social robots are addressed, as well as modalities of interaction with humans. Different robotic platforms used in social contexts are shown and discussed. Relationships of social robotics with advances in other technological areas are surveyed, and methods and metrics used for the human evaluation of the interaction with robots are presented. The future of social robotics is also envisioned based on surveyed works and from different points of view.

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Section: Other Applications Of Children Companionshipmentioning

confidence: 99%

Section: Robotic Platforms Used In Social Roboticsmentioning

confidence: 99%

A Survey on Recent Advances in Social Robotics

et al. 2022

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“…Wood et al (2017a) outline the standard assessments to measure autism children's progress when interacting with a robot. Zheng et al (2019) introduces the design of a companion robot that has real-time multimodal computing. Axelsson et al (2019) present the design process of the robotic tutor that helps to teach sign language to children with autism spectrum disorder problems.…”

Section: Design Of Children's Productsmentioning

confidence: 99%

Smart design of intelligent companion toys for preschool children

Wang

Yin

Zhang

2020

AIEDAM

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Early childhood education has long-lasting influences on people, and an appropriate companion toy can play an essential role in children's brain development. This paper establishes a complete framework to guide the design of intelligent companion toys for preschool children from 2 to 6 years old, which is child-centered and environment-oriented. The design process is divided into three steps: requirement confirmation, the smart design before the sale, and the iterative update after the sale. This framework considers the characteristics of children and highlights the integration of human and artificial intelligence in design. A case study is provided to prove the superiority of the new framework. In addition to enriching the research on intelligent toy design, this paper also guides for practitioners to design smart toys and helps in children's cognitive development.

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“…It can analyze the state of the chess game and the child's facial expressions to make a corresponding response such as encouragement. Zheng et al ( 2019 ) proposed a children's companion robot called BabeBay, which has affective computing ability for multi-modal information such as expression, body gesture, and text, to maintain companionship with different children. These traditional approaches are only computational processing of the emotion overt signals, but the emotion overt signals are not equal to the emotion.…”

Section: Introductionmentioning

confidence: 99%

Brain-Inspired Affective Empathy Computational Model and Its Application on Altruistic Rescue Task

Feng

Zeng

2022

Front. Comput. Neurosci.

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Affective empathy is an indispensable ability for humans and other species' harmonious social lives, motivating altruistic behavior, such as consolation and aid-giving. How to build an affective empathy computational model has attracted extensive attention in recent years. Most affective empathy models focus on the recognition and simulation of facial expressions or emotional speech of humans, namely Affective Computing. However, these studies lack the guidance of neural mechanisms of affective empathy. From a neuroscience perspective, affective empathy is formed gradually during the individual development process: experiencing own emotion—forming the corresponding Mirror Neuron System (MNS)—understanding the emotions of others through the mirror mechanism. Inspired by this neural mechanism, we constructed a brain-inspired affective empathy computational model, this model contains two submodels: (1) We designed an Artificial Pain Model inspired by the Free Energy Principle (FEP) to the simulate pain generation process in living organisms. (2) We build an affective empathy spiking neural network (AE-SNN) that simulates the mirror mechanism of MNS and has self-other differentiation ability. We apply the brain-inspired affective empathy computational model to the pain empathy and altruistic rescue task to achieve the rescue of companions by intelligent agents. To the best of our knowledge, our study is the first one to reproduce the emergence process of mirror neurons and anti-mirror neurons in the SNN field. Compared with traditional affective empathy computational models, our model is more biologically plausible, and it provides a new perspective for achieving artificial affective empathy, which has special potential for the social robots field in the future.

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BabeBay-A Companion Robot for Children Based on Multimodal Affective Computing

Cited by 12 publications

References 4 publications

A Survey on Recent Advances in Social Robotics

A Survey on Recent Advances in Social Robotics

Smart design of intelligent companion toys for preschool children

Brain-Inspired Affective Empathy Computational Model and Its Application on Altruistic Rescue Task

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