Gamificação como suporte às abordagens de mapeamento participativo e crowdsourcing no enfrentamento da Covid-19

Abstract

Due to the impacts caused by the advent of the Coronavirus (SARS-CoV-2), mobilization and popular participation in the face of public health policies are fundamental for facing Covid-19 and mitigating its damages, which is largely affected by knowledge, attitudes and practices in relation to disease. However, in view of the context of people in a state of social vulnerability and with low access to education and information, the lack of participation and engagement in socioeconomically disadvantaged communities presents itself as an obstacle that stands in the way of the objectives proposed by health policies. In this way, the present work proposes the implementation of the GAFCC theory-oriented gamification design model on the +Lugar platform (Covid-19 version), to support the crowdsourcing and participatory mapping approaches in favor of initiatives aimed at coping with Covid-19, mainly the mapping and signaling of disease transmission predictors in real time, through a risk perception approach. In order to assess the acceptance and use of the proposed solution, UTAUT was used to identify the determining factors that have a significant impact on the intention to use the platform. Therefore, a validation study was carried out with 20 young people and adolescents living in the Marechal Rondon neighborhood, where a form was applied, consisting of questions related to moderating and determining factors, and behavioral intention. The result of the study showed that respondents have high levels of performance and effort expectation, social influence, facilitating conditions, and behavioral intention to use the platform. However, through the analysis of Spearman's correlation coefficient, it was possible to identify that only the factors "expectation of effort'' and "social influence'' significantly impact behavioral intention.