This paper examines interaction involving a child with an Autistic Spectrum Disorder, a humanoid robot and a co-present adult. In this paper data from one child (collected as part of the ROBOSKIN project) is analysed in order to evaluate the potential contributions of a conversation analytic perspective to the examination of data relating to socio-emotional reciprocity. The paper argues for the value of treating all interaction as potentially relevant, looking without carefully pre-defined target behaviours and examining behaviour within its specific sequence of interaction. Adopting this approach, the paper suggests, enables noticings and observations that might not be available from perspectives that rely on the coding of pre-specified behaviours in isolation. Treating all interaction as potentially relevant brought into view interactions that might otherwise be dismissed or ignored – because they occurred before, or after, the trial itself. Being informed by the value of unmotivated looking – rather than pre-specified coding schemes – enabled highly relevant behaviour that was not anticipated within the trials to be analysed. Finally, seeing sequence as important meant that behaviours were appreciated in their intricate detail, enabling a more precise understanding than might be available if they were considered separately from that sequential environment. Keywords: autism; assessment; autistic spectrum disorder; experiment; conversation analysis; interaction; humanoid robot; sequences; sequence of interaction; socio-emotional reciprocity
Dubois-Sage, Marion, Baptiste Jacquet, Frank Jamet & Jean Baratgin
2024. People with Autism Spectrum Disorder Could Interact More Easily with a Robot than with a Human: Reasons and Limits. Behavioral Sciences 14:2 ► pp. 131 ff.
Catania, Fabio & Franca Garzotto
2023. A conversational agent for emotion expression stimulation in persons with neurodevelopmental disorders. Multimedia Tools and Applications 82:9 ► pp. 12797 ff.
Catania, Fabio, Micol Spitale & Franca Garzotto
2023. Conversational Agents in Therapeutic Interventions for Neurodevelopmental Disorders: A Survey. ACM Computing Surveys 55:10 ► pp. 1 ff.
Kopp, Stefan & Nicole Krämer
2021. Revisiting Human-Agent Communication: The Importance of Joint Co-construction and Understanding Mental States. Frontiers in Psychology 12
Saleh, Mohammed A., Fazah Akhtar Hanapiah & Habibah Hashim
2021. Robot applications for autism: a comprehensive review. Disability and Rehabilitation: Assistive Technology 16:6 ► pp. 580 ff.
Wood, Luke J., Abolfazl Zaraki, Ben Robins & Kerstin Dautenhahn
2021. Developing Kaspar: A Humanoid Robot for Children with Autism. International Journal of Social Robotics 13:3 ► pp. 491 ff.
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Syrdal, Dag Sverre, Kerstin Dautenhahn, Ben Robins, Efstathia Karakosta & Nan Cannon Jones
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Sakka, S., R. Gaboriau, J. Picard, E. Redois, G. Parchantour, L. Sarfaty, S. Navarro & A. Barreau
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Bodine, Cathy, Levin Sliker, Michael Marquez, Cecilia Clark, Brian Burne & Jim Sandstrum
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Ferm, Ulrika M., Britt K. Claesson, Cajsa Ottesjö & Stina Ericsson
2015. Participation and Enjoyment in Play with a Robot between Children with Cerebral Palsy who use AAC and their Peers. Augmentative and Alternative Communication 31:2 ► pp. 108 ff.
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This list is based on CrossRef data as of 20 november 2024. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers.
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