SOS TUTORÍA UC’ is a student connection application aimed at facilitating academic assistance between students through external tutoring outside of the application. This study presents the development and validation of the experience in the application by evaluating the importance of incorporating the dimension of personality traits, according to the Big Five model, in the process of recommending students for academic tutoring. The goal is to provide support for students to find others with greater knowledge and with a personality that is “different”, “similar” or “indifferent” to their own preferences for receiving academic assistance on a specific topic. To achieve this, a responsive web application was designed and implemented, integrated with the WeNet platform, which provides various services for user management and user recommendation algorithms. The integration with the platform was successful in terms of components, and the results of the recommendation system testing were positive but have room for improvement seeking to better satisfy the personality requirement and allowing the requester to choose whether to diversify the recommendation by gender. Additionally, participants highlighted the importance of considering personality traits in the tutor-tutee matching process, expressing the desire for additional information and parameters to facilitate tutor selection, such as compatibility levels and more detailed personality trait profiles.

WeNet is a multidisciplinary project aimed at introducing a platform capable of enhancing socially aware, diverseconscious, richer, and deeper social interactions. This study presents the integration and validation of a tutoring application, named SOS Tutoring UC, based on social interactions on the WeNet platform. The validation has encompassed both the system and the diversity-conscious matching algorithm. The experience reveals several relevant challenges for integrating vertical applications on the WeNet platform and underscores the pivotal role played by understanding diversity-conscious matching algorithms in the integration process.

WeNet is a multidisciplinary project that proposes a paradigm of social relations mediated by computers connected through the Internet and having diversity as the focal point. To this end, an online platform has been developed that is capable of fostering richer and deeper diversity-aware social interactions and specific applications to respond to specific needs. In particular, this study focuses on a tutoring application, called SOS TUTORÍA UC. This study describes and analyzes the evaluation of user perception when using SOS TUTORÍA UC, as well as its UX status, in order to propose improvements. Seventeen users participated in the study, for which the questionnaires SEQ, SUS, UEQ+ and an interview with open questions were used. The results have been encouraging and suggest that the main factors affecting a good UX are ease of understanding, usability, intuitive use and effectiveness. Finally, proposals for improvements were collected taking into account the factors that influence the user experience and the recommendations given by the participants.

In today's world, characterized by the massive generation of data, a major problem related to data manipulation occurs when people's privacy is violated. To face this situation different regulations and solutions, to help users get in control over their data, emerged. However, many of the solutions require a certain level of knowledge in the field of privacy or offer unclear information that does not facilitate a real control of their data by the users. Added to this is the unfriendly user interface design as one of the factors that prevents users from managing their privacy settings effectively. Thus, in this work we explore the effect of the application of Participatory Design (PD) techniques in the implementation of privacy enhancing technologies. In particular, we focus on the use of PD for the design of a privacy dashboard that encourages the immersion of users with privacy issues and gives them greater control with a user interface according to usability criteria. The evaluation of the PD process, which has resulted in a high-fidelity prototype of the dashboard, shows encouraging results and greater user immersion in privacy management.

In the context of the project “WeNet: Internet of us” we are studying the role of diversity in relation to Internetmediated social interactions. In this paper, in particular, we analyze a possible relationship between personality aspects and social interaction mediated by digital platforms. More specifically, we rely on the five personality traits (Extraversion, Agreeableness, Conscientiousness, Emotional Stability and Openness to Experience), commonly referred to as “Big-five”, and associate them to automatically extracted behavioral characteristics derived from the experience of using a Chatbot for a closed community of students at the Universidad Católica “Nuestra Señora de la Asunción” (UC). The personality data comes from a self-report made by the users through questionnaires. The main results show very positive appraisals about the use of the Chatbot in terms of user experience and its main functionalities. As for the role of personality in relation to the main use of the Chatbot, although further experience is required to confirm trends, the results suggest that there are some correlations between some of the five personality traits and the length of questions and answers as well as the selection of best answers.

The digital content of users is commonly organised in local directories representing entities from the real world (e.g., people, locations, organisations, and events). Different representations can show different "versions", using different names to refer to the same real world entity (e.g., George Lombardi, Lombardi G., Dr. Lombardi). Although the data in these directories are related and can even complement each other, there are no formal links connecting them and allowing users to share and search across them. In this work we propose a Distributed Directory System, applied to A Healthcare Use Case for Rural Areas that allows peers: (i) to maintain full control over their data; and (ii) to find different versions of an entity based on any name that is used in the network to refer to it. We evaluate the approach in networks of different sizes using PlanetLab and we show promising results in terms of scalability.