Recycling behavior is an issue that affects the sustainability of many seasonal destinations. The EU promotes projects such as the UrbanWaste that try to study how to avoid the deplorable consequences on cities of this situation. This project has implemented a gamified application, named WasteApp in several European cities, in order to promote the recycling behavior of tourists. This study aimed to verify if the application can be a successful tool to foster recycling and to improve tourism destination reputation. The results show that tourist satisfaction will be influenced directly by the perceived usefulness of the application, and perceived usefulness by the perceived ease of use, but the expectations of the prizes can be counterproductive if they are not perceived as useful for the promoted behavior. Likewise, the satisfaction of the user will influence the recycling behavior, which at the same time improves the reputation of the destination. Besides, the initiative will be visible through word of mouth that is generated from the perceived usefulness, the user’s satisfaction, and the recycling behavior itself. That is, according to this study a gamified application can contribute to the recycling behavior of tourists and improve the image of the destination that adopts it.

Gamification is a tool that has been used to promote commitment and motivation to students. This fact, coupled with the intensive use made by students of their smart phones, has led to the development of the HEgameApp application. This study shows that students' satisfaction will be influenced directly by application features, and it will influence pro-deep-learning approaches. Besides, the initiative will be visible through word of mouth. According to this study a gamified application can contribute to the pro-deep-learning approaches as students wish to expose their private learning-related actions to friends. An interesting finding of this study is the connection between the users' satisfaction and the promotion of behaviors related to deep learning strategies, since the more satisfied the students are, the more their deep learning strategies will be promoted. Another relevant finding comes from the teaching institution, as this type of initiative is very well accepted by the students and will improve the image, providing a smart academic, studentfocused reputation to the implementing academia.

In this work, a real-time software-in-loop simulation technique was employed to test and analyse an underwater wireless sensor network. This simulation should facilitate the deployment of the real network and helps guarantee the network’s expected behaviour. We study duplicated packets, one-way delay, and power consumption to analyse the network’s leading parameters. Evaluating production-ready software in simulated conditions eases effective deployment. This method will ultimately allow us to establish these parameters, test the software before the deployment, and have an excellent understanding of the network’s behaviour.