User experience evaluation for people with autism spectrum disorder

• Autores: Katherine Ivone Valencia Castillo
• Directores de la Tesis: Federico Botella Beviá (dir. tes.) , Cristian Rusu (codir. tes.)
• Lectura: En la Universidad Miguel Hernández de Elche ( España ) en 2023
• Idioma: español
• Tribunal Calificador de la Tesis: Toni Granollers i Saltiveri (presid.) , Ana I. Molina Díaz (secret.) , Sandra Patricia Cano (voc.)
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• Resumen

  • People with Autism Spectrum Disorder (ASD) have greater challenges in the development of their communication and social skills. They tend to enjoy interactions with computers, as these interactions are in a safe and structured environment.

    Several studies have been dedicated to the development of software systems and/or applications for people with ASD, trying to be as accessible and usable as possible for their users. However, these studies do not present enough detail in the evaluations and empirical evidence in their research, in a context of usability and user experience, therefore it is necessary to formalize the user experience evaluation process when working with people with ASD.

    A 7-stage process has been proposed and followed for the creation of a specific user experience evaluation methodology for systems products or services used by people with ASD. These stages describe and detail the processes to follow and information to be collected, such as carrying out systematic reviews, creating a set of design guidelines, a proposal for the particularization of 9 UX factors for people with ASD, selecting and adapting UX evaluation methods that fit the needs of people with ASD, and validating the methodology.

    In this document we stablish, validate and apply a methodology to evaluate the user experience for people with autism spectrum disorder. This methodology proposes 3 sequential stages, a planning stage, an execution stage, and a results analysis stage, which contribute to the correct selection of participants, evaluators, methods and design of the experiments, as well as the execution of these methods and the processing of the results to obtain valuable insights that can help the users with ASD to improve their experience, and thus their quality of life, through the use of technology.