Robots That Can Play with Children: What Makes a Robot Be a Friend

Attamimi, Muhammad; Abe, Kasumi; Iwasaki, Akiko; Nagai, Takayuki; Shimotomai, Takayuki; Omori, Takashi

doi:10.1007/978-3-642-42054-2_47

Cited by 1 publication

(2 citation statements)

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“…We consider that this approach could be advantageous for evaluation in this field. In CRI, there are several related studies [7][8][9][10]. Methods of controlling robots able to act as friends or playmates have been discussed in [7][8].…”

Section: Introductionmentioning

confidence: 99%

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The study of attention estimation for child-robot interaction scenarios

Attamimi¹,

Omori²

2020

Bulletin EEI

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One of the biggest challenges in human-agent interaction (HAI) is the development of an agent such as a robot that can understand its partner (a human) and interact naturally. To realize this, a system (agent) should be able to observe a human well and estimate his/her mental state. Towards this goal, in this paper, we present a method of estimating a child's attention, one of the more important human mental states, in a free-play scenario of child-robot interaction (CRI). To realize attention estimation in such CRI scenario, first, we developed a system that could sense a child's verbal and non-verbal multimodal signals such as gaze, facial expression, proximity, and so on. Then, the observed information was used to train a model that is based on a Support Vector Machine (SVM) to estimate a human's attention level. We investigated the accuracy of the proposed method by comparing with a human judge's estimation, and obtained some promising results which we discuss here.

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Section: Introductionmentioning

confidence: 99%

“…In CRI, there are several related studies [7][8][9][10]. Methods of controlling robots able to act as friends or playmates have been discussed in [7][8]. And although the results were encouraging, the scenarios were overly controlled.…”

Section: Introductionmentioning

confidence: 99%