A content validated tool to observe autism behavior in child-robot interaction

This research presents the validation study of a qualitative tool to analyze the response in robot-based intervention. The 24 behavioral items in the tool were determined through routine observations carried out by clinicians and the definitions of autism adopted by the Diagnostic and Statistical Manual of Mental Disorders: Fourth Edition-Text Revision (DSM-IV-TR). 34 experts determined content validity and tool reliability by viewpoints through the Likert scale. The tool was found to have good content validity with more than 67% of experts scored at least 3 on the 5-point Likert scale. Cronbach's alpha coefficient of 0.872 reflected the tool's content reliability and internal consistency. The tool was used to analyze the behavior response of children with autism when exposed to a humanoid robot. It functioned as a score-sheet to compare the behavior of autistic children with and without the presence of a robot. These findings put forward a tool with contents considered valid to evaluate behavior outcome of studies involving children with autism and robots.

[1]  Kerstin Dautenhahn,et al.  A quantitative technique for analysing robot-human interactions , 2002, IEEE/RSJ International Conference on Intelligent Robots and Systems.

[2]  Katja Gruenewald,et al.  Handbook Of Training Evaluation And Measurement Methods , 2016 .

[3]  Kerstin Dautenhahn,et al.  The Role of the Experimenter in HRI Research - A Case Study Evaluation of Children with Autism Interacting with a Robotic Toy , 2006, ROMAN 2006 - The 15th IEEE International Symposium on Robot and Human Interactive Communication.

[4]  E. Barakova,et al.  Promoting question-asking in school-aged children with autism spectrum disorders: Effectiveness of a robot intervention compared to a human-trainer intervention , 2013, Developmental neurorehabilitation.

[5]  K. Jordan,et al.  Feasibility of using a humanoid robot for enhancing attention and social skills in adolescents with autism spectrum disorder , 2013, International journal of rehabilitation research. Internationale Zeitschrift fur Rehabilitationsforschung. Revue internationale de recherches de readaptation.

[6]  Kerstin Dautenhahn,et al.  Methodology & Themes of Human-Robot Interaction: A Growing Research Field , 2007 .

[7]  Johnny L. Matson,et al.  Why Are There so Many Unsubstantiated Treatments in Autism , 2013 .

[8]  Naresh K. Malhotra,et al.  Essentials of marketing research : an applied orientation , 2004 .

[9]  James Dean Brown,et al.  Testing in language programs , 1996 .

[10]  Michael A. Goodrich,et al.  Supporting Clinicians in Robot-Assisted Therapy for Autism Spectrum Disorder : Creating and Editing Robot Animations with Full-Body Motion Tracking , 2011 .

[11]  Lauren M. Schmitt,et al.  The Clinical Use of Robots for Individuals with Autism Spectrum Disorders: A Critical Review. , 2012, Research in autism spectrum disorders.

[12]  Jack J. Phillips,et al.  Handbook of Training Evaluation and Measurement Methods , 1987 .

[13]  David Feil-Seifer,et al.  Socially Assistive Robot-Based Intervention for Children with Autism Spectrum Disorder , 2008, ICRA 2008.

[14]  Ganesh Thanasegaran.  Reliability and Validity Issues in Research , 2009 .

[15]  J Alonso,et al.  BMC Medical Research Methodology BioMed Central Study protocol Protocol of the COSMIN study: COnsensus-based Standards for the selection of health Measurement INstruments , 2006 .

[16]  Springer-Verlag London Limited.  Developing technology for autism: an interdisciplinary approach , 2012 .

[17]  Hideki Kozima,et al.  Interactive robots for communication-care: a case-study in autism therapy , 2005, ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005..

[18]  D. Segal.  Diagnostic and Statistical Manual of Mental Disorders (DSM-IV-TR) , 2010 .

[19]  S. Ozonoff.  Reliability and validity of the Wisconsin Card Sorting Test in studies of autism. , 1995 .