Combining embodied models and empirical research for understanding the development of shared attention

Fasel, Ian; Deák, Gedeon O.; Triesch, Jochen; Movellan, Javier R.

doi:10.1109/devlrn.2002.1011724

Cited by 42 publications

(39 citation statements)

References 37 publications

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“…In addition to the above mentioned projects, Fasel and others used simulated systems and robotic ones to study normal and abnormal development of joint attention in infants with and without autism [18]. Later, the small robot Keepon, which was developed by Kozima, Nakagawa, and others, showed that it could establish triadic interactions among itself, a young child with autism, and either another child or the autistic child's parent/caregiver [33,34].…”

Section: Related Workmentioning

confidence: 99%

A Pilot Study with a Novel Setup for Collaborative Play of the Humanoid Robot KASPAR with Children with Autism

Wainer

Dautenhahn

Robins

et al. 2013

Int J of Soc Robotics

137

102

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This article describes a pilot study in which a novel experimental setup, involving an autonomous humanoid robot, KASPAR, participating in a collaborative, dyadic video game, was implemented and tested with children with autism, all of whom had impairments in playing socially and communicating with others. The children alternated between playing the collaborative video game with a neurotypical adult and playing the same game with the humanoid robot, being exposed to each condition twice. The equipment and experimental setup were designed to observe whether the children would engage in more collaborative behaviours while playing the video game and interacting with the adult than performing the same activities with the humanoid robot. The article describes the development of the experimental setup and its first evaluation in a small-scale exploratory pilot study. The purpose of the study was to gain experience with the operational limits of the robot as well as the dyadic video game, to determine what changes should be made to the systems, and to gain experience with analyzing the data from this study in order to conduct a more extensive evaluation in the future. Based on our observations of the childrens' experiences in playing the cooperative game, we determined that while the children enjoyed both playing the game and interacting with the robot, the game should be made simpler to play as well as more explicitly collaborative in its mechanics. Also, the robot should be more explicit in its speech as well as more structured in its interactions.Results show that the children found the activity to be more entertaining, appeared more engaged in playing, and displayed better collaborative behaviours with their partners (For the purposes of this article, 'partner' refers to the human/robotic agent which interacts with the children with autism. We are not using the term's other meanings that refer to specific relationships or emotional involvement between two individuals.) in the second sessions of playing with human adults than during their first sessions. One way of explaining these findings is that the children's intermediary play session with the humanoid robot impacted their subsequent play session with the human adult. However, another longer and more thorough study would have to be conducted in order to better re-interpret these findings. Furthermore, although the children with autism were more interested in and entertained by the robotic partner, the children showed more examples of collaborative play and cooperation while playing with the human adult.

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Section: Related Workmentioning

confidence: 99%

A Pilot Study with a Novel Setup for Collaborative Play of the Humanoid Robot KASPAR with Children with Autism

Wainer

Dautenhahn

Robins

et al. 2013

Int J of Soc Robotics

137

102

View full text Add to dashboard Cite

show abstract

“…In addition to the abovementioned projects, Fasel and others used simulated systems and robotic ones to study normal and abnormal development of joint attention in infants with and without autism [10]. Later, Kozima, Nakagawa, and others developed a simple robot, Keepon, capable of establishing triadic interactions between itself, a young child with autism, and another individual, whether another child or the autistic child's parent / caregiver [16].…”

Section: A Related Workmentioning

confidence: 99%

Collaborating with Kaspar: Using an autonomous humanoid robot to foster cooperative dyadic play among children with autism

Wainer¹,

Dautenhahn²,

Robins³

et al. 2010

2010 10th IEEE-RAS International Conference on Humanoid Robots

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Abstract-This article describes a pilot study in which children with autism alternated between playing a cooperative, dyadic video game with an adult human and playing the same game with an autonomous humanoid robot. The purpose of the study was to determine whether the children, all of whom had difficulties communicating and engaging in social play with others, would display more collaborative behaviours when playing with an adult after playing and interacting with the humanoid robot. Based on our analysis of the children's behaviours while playing the cooperative game, our findings suggest that the children were more entertained, seemed more invested in the game, and collaborated better with their partners during their second sessions of playing with human adults than during their first. One possible explanation for this result is that the children's intermediary play session with the humanoid robot had an impact on their subsequent play session with the adult. Additionally, while the autistic children saw the robotic partner as being more interesting and entertaining, they played more collaboratively and cooperated better with the human adult.

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“…Numerous other researchers (Brooks et al 1998;Varshavskaya 2002;Weng, Zhang, & Chen 2003;Stojanov 2001;Fischer & Moratz 2001;Hugues & Drogoul 2001;Cohen, Sutton, & Burns 2002;Fasel et al 2002;Grupen 2003) study cognition using robotics; see (Lungarella & Metta 2003) for a recent survey. One key aspect of our project different from most other work is our focus on language learning and interaction as a basis for higher learning.…”

Section: Introductionmentioning

confidence: 99%

Automatic language acquisition by an autonomous robot

Levinson

Zhu

et al.

Proceedings of the International Joint Conference on Neural Networks, 2003.

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There is no such thing as a disembodied mind. We posit that cognitive development can only occur through interaction with the physical world. To this end, we are developing a robotic platform for the purpose of studying cognition. We suggest that the central component of cognition is a memory which is primarily associative, one where learning occurs as the correlation of events from diverse inputs. We also believe that human-like cognition requires a well-integrated sensorymotor system, to provide these diverse inputs. As implemented in our robot, this system includes binaural hearing, stereo vision, tactile sense, and basic proprioceptive control. On top of these abilities, we are implementing and studying various models of processing, learning and decision making. Our goal is to produce a robot that will learn to carry out simple tasks in response to natural language requests. The robot's understanding of language will be learned concurrently with its other cognitive abilities. We have already developed a robust system and conducted a number of experiments on the way to this goal, some details of which appear in this paper. This is a progress report of what we believe will be a long term project with significant implications.

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Combining embodied models and empirical research for understanding the development of shared attention

Cited by 42 publications

References 37 publications

A Pilot Study with a Novel Setup for Collaborative Play of the Humanoid Robot KASPAR with Children with Autism

A Pilot Study with a Novel Setup for Collaborative Play of the Humanoid Robot KASPAR with Children with Autism

Collaborating with Kaspar: Using an autonomous humanoid robot to foster cooperative dyadic play among children with autism

Automatic language acquisition by an autonomous robot

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