Abstract
Leo Kanner defined autism as a distinct personality disorder, a great difficulty to communicate with others. Some autistic persons show cognitive and motor difficulties. Due to the problem presented in users with autism, it is necessary to create interfaces and applications that fit the capabilities of this type of user. This paper identifies operations to perform tasks in mobile applications that an autistic child can execute with less complexity based on the metrics KLM-GOMS and TLM-GOMS. Mobile applications were tested to calculate such metrics in different use cases. The results presented in this paper show how autistics users from different autism levels perform different type of tasks; the results are compared with the model proposed by GOMS. The experimentation shows the total time in seconds that it is necessary to realize every use case and be able to complete the goal assigned for each application. Our results show that an autistic user need more time to interact with the technology; this address to adjust the classification of the operations for interacting with computer-based systems and develop applications that they adapt to the autistic user.
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Quezada, A., Juárez-Ramírez, R., Jiménez, S., Ramírez-Noriega, A., Inzunza, S. (2017). An Empirical Study on Usability Operations for Autistic Children. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Costanzo, S. (eds) Recent Advances in Information Systems and Technologies. WorldCIST 2017. Advances in Intelligent Systems and Computing, vol 570. Springer, Cham. https://doi.org/10.1007/978-3-319-56538-5_64
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DOI: https://doi.org/10.1007/978-3-319-56538-5_64
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