|dc.description.abstract||This thesis is part of the Aurora project, an ongoing long-term project investigating
the potential use of robots to help children with autism overcome some of their
impairments in social interaction, communication and imagination. Autism is a spectrum disorder and children with autism have different abilities and needs. Related
research has shown that robots can play the role of a mediator for social interaction in
the context of autism. Robots can enable simple interactions, by initially providing
a relatively predictable environment for play. Progressively, the complexity of the
interaction can be increased.
The purpose of this thesis is to facilitate play between children with autism and
an autonomous robot. Children with autism have a potential for play but often
encounter obstacles to actualize this potential. Through play, children can develop
multidisciplinary skills, involving social interaction, communication and imagination.
Besides, play is a medium for self-expression. The purpose here is to enable children with autism to experience a large range of play situations, ranging from dyadic play with progressively better balanced interaction styles, to situations of triadic play with both the robot and the experimenter. These triadic play situations could also involve symbolic or pretend play.
This PhD work produced the following results:
• A new methodological approach of how to design, conduct and analyse robotassisted
play was developed and evaluated. This approach draws inspiration from non-directive play therapy where the child is the main leader for play and the experimenter participates in the play sessions. I introduced a regulation
process which enables the experimenter to intervene under precise conditions in
order to: i) prevent the child from entering or staying in repetitive behaviours,
ii) provide bootstrapping that helps the child reach a situation of play she is
about to enter and iii) ask the child questions dealing with affect or reasoning
about the robot. This method has been tested in a long-term study with six children with autism. Video recordings of the play sessions were analysed in detail according to three dimensions, namely Play, Reasoning and Affect. Results have shown the ability of this approach to meet each child’s specific needs and abilities. Future work may develop this work towards a novel approach in autism therapy.
• A novel and generic computational method for the automatic recognition of
human-robot interaction styles (specifically gentleness and frequency of touch
interaction) in real time was developed and tested experimentally. This method,
the Cascaded Information Bottleneck Method, is based on an information theoretic
approach. It relies on the principle that the relevant information can be
progressively extracted from a time series with a cascade of successive bottlenecks
sharing the same cardinality of bottleneck states but trained successively.
This method has been tested with data that had been generated with a physical
robot a) during human-robot interactions in laboratory conditions and
b) during child-robot interactions in school. The method shows a sound recognition
of both short-term and mid-term time scale events. The recognition process only involves a very short delay. The Cascaded Information Bottleneck is a generic method that can potentially be applied to various applications of socially interactive robots.
• A proof-of-concept system of an adaptive robot was demonstrated that is responsive
to different styles of interaction in human-robot interaction. Its impact was evaluated in a short-term study with seven children with autism. The recognition process relies on the Cascaded Information Bottleneck Method. The robot rewards well-balanced interaction styles. The study shows the potential of the adaptive robot i) to encourage children to engage more in the interaction and ii) to positively influence the children’s play styles towards better balanced interaction styles.
It is hoped that this work is a step forward towards socially adaptive robots as well as robot-assisted play for children with autism.||en