https://orcid.org/0000-0002-7067-8269
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ABSTRACT
Autism Spectrum Disorder (ASD) is a neurodevelopmental condition characterized by social interaction and communication difficulties, along with narrow and repetitive interests. Being a spectrum disorder, ASD affects individuals with a large range of combinations of challenges along dimensions such as intelligence, social skills, or sensory processing. Hence, any computer-based technology for ASD ought to be customizable to fit the particular profile of each individual that uses it. The main goal of our survey is to collect and characterize the customization support that has been researched for these technologies, which we analyze along clinical and technological dimensions. Our survey revealed that despite its importance, customization support for these technologies remains a subject largely unexplored. Furthermore, we propose alternatives on how to address the limitations identified.
Acknowledgments
This work was partially supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) grant RGPIN-2017-0542 and the program Mitacs Globalink.
Notes
1. Quote authored by Stephen Shore, http://www.autismasperger.net/.
2. Center for Disease Control (CDC), see https://www.cdc.gov/ncbddd/autism/data.html.
5. TS = Topic Search. For sake of clarity, we do not include other terms that refer, for instance, to the databases searched.
6. That is, looking at all the citations in the primary sources papers and at all the papers that cite the primary sources.
7. http://www.autismcollaborative.org/PointOutWords/Accessed in July 2019.
13. Software Product Line Conference Hall of FAME, http://splc.net/fame.html.
14. Located in Mendeley social network in a group with the same name as the book, https://www.mendeley.com/community/interactive-technologies-for-autism/.
Additional information
Funding
Notes on contributors
Roberto E. Lopez-Herrejon
Roberto E. Lopez-Herrejon is associate professor at the École de technologie supérieure of the University of Quebec. He obtained his Ph.D. from The University of Texas at Austin in 2006. His main expertise is software product lines that he seeks to apply for the development of customized human-computer interaction interfaces.
Oishi Poddar
Oishi Poddar is currently a software engineer at HSBC Software Development (India). She recently completed her Bachelors in Computer Science and Engineering from KIIT University, India. Her research interests are applying machine learning to human-computer interaction and natural language processing problems and she wants to work further in this field.
Gerardo Herrera
Gerardo Herrera is a Senior Research Technician in the Robotics, Information and Communication Institute (IRTIC) of the Universitat de Valncia. He is also head of Adapta Lab at IRTIC (www.adaptalab.org). According to Scopus, he has published 17 papers and received a total of 210 cites, with an h-index of 7.
Javier Sevilla
Javier Sevilla has a degree and a Master degree in Computer Science by Engineering from the University of Valencia. He is Associate Professor at the School of Engineering, performing his research in ARTEC and Autism Lab at IRTIC Institute (University of Valencia). He has participated in over 20 R&D projects related with Semantic Web, ASD and IT and Virtual/Augmented Reality research lines. He has also published many scientific papers related with those areas. Furthermore, he is Secretary of ADAPTA Foundation, formed in late 2007.