Acquiring peekaboo communication: Early communication model based on reward prediction

Ogino, Masao; Ooide, T.; Watanabe, Ayako; Asada, Minoru

doi:10.1109/devlrn.2007.4354053

Cited by 9 publications

(3 citation statements)

References 11 publications

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“…Several studies in cognitive developmental robotics (Asada et al, 2009) have sought to understand initial communication by computational models (Ogino et al, 2007; Watanabe et al, 2007). However, these studies focused on acquiring communicative actions, rather than the factors that motivate communication.…”

Section: Introductionmentioning

confidence: 99%

A motivation model for interaction between parent and child based on the need for relatedness

2013

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In parent-child communication, emotions are evoked by various types of intrinsic and extrinsic motivation. Those emotions encourage actions that promote more interactions. We present a motivation model of infant-caregiver interactions, in which relatedness, one of the most important basic psychological needs, is a variable that increases with experiences of emotion sharing. Besides being an important factor of pleasure, relatedness is a meta-factor that affects other factors such as stress and emotional mirroring. The proposed model is implemented in an artificial agent equipped with a system to recognize gestures and facial expressions. The baby-like agent successfully interacts with an actual human and adversely reacts when the caregiver suddenly ceases facial expressions, similar to the “still-face paradigm” demonstrated by infants in psychological experiments. In the simulation experiment, two agents, each controlled by the proposed motivation model, show relatedness-dependent emotional communication that mimics actual human communication.

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Section: Introductionmentioning

confidence: 99%

A motivation model for interaction between parent and child based on the need for relatedness

2013

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“…Ogino et al [53] propose a model for a robot to acquire new communication based on the reward prediction. The system keeps the sensor data in short term memory and puts into the long term memory when the value of the internal state corresponding to the emotion is increased.…”

Section: Sensorimotor Stage -2nd Substagementioning

confidence: 99%

“…After careful review of the literature [14,65,40,17], inspired by the activities proposed in [36] to evaluate the cognitive development of children based on Piagetian experiences and the experiments realized by Piaget with babies described in [67] and considering scenarios that we could mimic with robots [27,44,42,12,11,8,45,51,72,71,52,60,62,92,75,53,85,63,17], we organized the experiments according to following abilities:…”

Section: Proposed Sensorimotor Experimentsmentioning

confidence: 99%

Exploring cognitive functions in robotics

Belém¹

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I thank God for the opportunity of completing this Master's degree program.I am very grateful to my family for always supporting me and for encouraging me to follow my dreams. I thank you for always being there, showing me that I was capable and giving me strength in the most challenging moments, for trusting me when I didn't trust myself, for supporting my every decision, and for never letting me give up. I love them, and I am grateful for the life they have given me.I thank my fiance, André, for being beside me daily, for comforting me during my moments of frustration, but also for sharing my happiness. Thank you so much for your companionship, love, and understanding throughout this period. I also thank your family for always motivating me.I am extremely grateful to my advisor, Esther. She has always shown her passion for what she does and has become a great example. Esther has always been very patient, motivating, and spared no effort to help me when I was having difficulties. Thank you so much, Esther, for all the knowledge, for the conversations, for believing in me and encouraging me to always look for more.I would also like to thank my roommates, Carol and Dani. Girls, thank you so much for everything, for the dance and pizza nights, for all the jokes and stories. Thank you so much for all the time we spent together over these years. You made my days lighter.I would also like to thank my friends, Caroline Nogueira and Amanda Guigen, for all the help they gave me in the area of psychology, child development, and all the theoretical human background necessary for this research.I am also grateful for my professors at UFSCar, who introduced me to research and academic life, especially to Tiemi, Luciana, Cândida, and Gustavo. You have always shown me how beautiful knowledge is and how important science is.I would like to thank my friends at UNICAMP. My laboratory team, LaRoCs, for all the exchange of knowledge. Special thanks to my friends Carol, Sara, Andressa, Renan, Luã, and Fabricio for being with me daily, for each coffee we had, each lunch, the advice. Thank you for the fellowship and for making my days happier.I also want to thank my friends outside UNICAMP. Special thanks go to Elisa, Isabela

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Developing preferential attention to a speaker: A robot learning to recognise its carer

Murray

Cañamero

2009

2009 IEEE Symposium on Artificial Life

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Acquiring peekaboo communication: Early communication model based on reward prediction

Cited by 9 publications

References 11 publications

A motivation model for interaction between parent and child based on the need for relatedness

A motivation model for interaction between parent and child based on the need for relatedness

Exploring cognitive functions in robotics

Developing preferential attention to a speaker: A robot learning to recognise its carer

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