João Rafael Chaves De Araujo Silva
ABSTRACT
Autism Spectrum Disorder (ASD) affects individuals’ communication, social interaction and personal interests. The use of digital resources (games, websites, apps, etc.) in conjunction with therapies and interventions has become an alternative for improving the quality of life of people with autism. However, the lack of information on the design, implementation and effectiveness of these resources hinders their development and evaluation, impacting on their usability. In this context, guidelines can help in the development and evaluation of the quality and suitability of these digital resources, but the application of these guidelines is challenging due to the completeness scope and quantity of guidelines available. Considering the above scenario, the following research question arises: how can the application of such recommendations be made feasible in a pragmatic scenario? To answer this question, the following hypothesis is considered: making the content more flexible, identifying the most important recommendations for specific contexts through an anonymous opinion poll. In light of the above, this study presents the results of an empirical crowdsourcing study with the aim of establishing different levels of importance for a subset of recommendations from AutismGuide, a document of usability recommendations guidelines for digital resources aimed at people with ASD, based on different contexts of use. Through a collaborative web system, 148 contributions were collected from contributors with diverse profiles: software engineers, user interface designers, professionals who work with people with ASD (doctors, pedagogues, etc.), relatives of people with ASD, among others. The results indicate the greater importance of certain criteria in certain contexts of use, and also the greater effectiveness of this methodology compared to previous methodologies for obtaining the level of importance of each criterion.
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Index Terms
- Crowdsourcing in the prioritization of accessibility and usability criteria for autism
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