The Potential of Smartwatches for Emotional Self-regulation of People with Autism Spectrum Disorder

This paper focuses on the potential of smartwatchers as interventors in the process of emotional self-regulation on individuals with ASD. Parting from a model of assistance in their self-regulation tasks, we review the main advantages of smartwatches in terms of sensors and pervasive interaction potential. We argue the suitability of smartwatches for this kind of assistance, including studies that had used them for related purposes, and the relation of this idea with the affective computing area. Finally, we propose a technological approach for emotional self-regulation assistance that uses smartwatches and applies to the mentioned intervention model.

[1]  T. P. Hughes,et al.  The Social Construction of Technological Systems: New Directions in the Sociology and History of Technology , 1989 .

[2]  Rosalind W. Picard.  Affective Computing for HCI , 1999, HCI.

[3]  Rajeev Gandhi,et al.  SPARK: Personalized Parkinson Disease Interventions through Synergy between a Smartphone and a Smartwatch , 2014, HCI.

[4]  Patrick J McMahon,et al.  The Efficacy of Using a Personal Stereo to Treat Auditory Hallucinations , 2002, Behavior modification.

[5]  J. Ziegler,et al.  Smart Phone, Smart Science: How the Use of Smartphones Can Revolutionize Research in Cognitive Science , 2011, PloS one.

[6]  A. Gillespie,et al.  Cognitive Function and Assistive Technology for Cognition: A Systematic Review , 2011, Journal of the International Neuropsychological Society.

[7]  J. Day,et al.  Computer and Internet Use in the United States: 2003 , 2005 .

[8]  A. Culyer.  International Classification of Functioning, Disability and Health , 2014 .

[9]  Antonio Krüger,et al.  Investigating the effectiveness of peephole interaction for smartwatches in a map navigation task , 2014, MobileHCI '14.

[10]  Colin G Pottie,et al.  Daily stress, coping, and well-being in parents of children with autism: a multilevel modeling approach. , 2008, Journal of family psychology : JFP : journal of the Division of Family Psychology of the American Psychological Association.

[11]  Tamás D. Gedeon,et al.  Objective measures, sensors and computational techniques for stress recognition and classification: A survey , 2012, Comput. Methods Programs Biomed..

[12]  M. T Ferrando-Lucas,et al.  Espectro autista. Estudio epidemiológico y análisis de posibles subgrupos , 2002 .

[13]  Thomas Kirste,et al.  Ambient interaction by smart watches , 2012, PETRA '12.

[14]  Giulio E. Lancioni,et al.  Assistive technology : interventions for individuals with severe/profound and multiple disabilities , 2013 .

[15]  Rosalind W. Picard.  Affective Computing , 1997 .

[16]  M. Wehmeyer,et al.  Self-determination, social abilities and the quality of life of people with intellectual disability. , 2007, Journal of intellectual disability research : JIDR.

[17]  E. Rubin,et al.  Challenges in Emotional Regulation in Asperger Syndrome and High‐Functioning Autism , 2004 .

[18]  James M. Rehg,et al.  BioGlass: Physiological parameter estimation using a head-mounted wearable device , 2014 .

[19]  José Ramón Alonso Peña.  Autismo y síndrome de Asperger: guía para familiares, amigos y profesionales , 2004 .

[20]  Brian O’Neill and Alex Gillespie,et al.  Assistive Technology for Cognition , 2011 .