Luis Martín Sánchez-Adame

selected publications

1. IEEE Access

   Framework for Ethically Designed Microtransactions in the Metaverse

   Sánchez-Adame, Luis Martín, Monroy-Rodríguez, Guillermo, Mendoza, Sonia, Decouchant, Dominique, and Mateos-Papis, Alfredo Piero

   IEEE Access 2023

   Abs Bib HTML

   Microtransactions, small in-app purchases within virtual environments, have become increasingly prevalent in modern gaming, often leading to addictive behaviors and financial burdens, particularly among young male players. The potential consequences of such microtransactions within the metaverse extend beyond gaming, as they provide companies with unprecedented control over user experiences and the ability to capitalize personal data for targeted advertising and manipulative practices. This article presents a comprehensive framework for the ethical analysis and design of microtransactions in the metaverse to address these concerns. This three-dimensional framework explores Motivation, Engagement, and Fairness to evaluate the impact of microtransactions on user autonomy, social interactions, and overall fairness. Additionally, the paper conducts a running example on World of Warcraft to assess the alignment of its microtransaction design choices with the proposed ethical principles. By shedding light on these issues, this article aims to raise awareness among consumers, developers, and policymakers about the need for responsible practices, consumer protection, and privacy preservation in the metaverse. It emphasizes fostering collaboration and transparency to safeguard users from misuse while promoting a user-centric metaverse ecosystem.

   @article{J6:2023,
     author = {Sánchez-Adame, Luis Martín and Monroy-Rodríguez, Guillermo and Mendoza, Sonia and Decouchant, Dominique and Mateos-Papis, Alfredo Piero},
     journal = {IEEE Access},
     title = {Framework for Ethically Designed Microtransactions in the Metaverse},
     year = {2023},
     volume = {11},
     pages = {140687-140700},
     doi = {10.1109/ACCESS.2023.3341057},
     abbr = {IEEE Access},
     html = {https://doi.org/10.1109/ACCESS.2023.3341057},
     bibtex_show = {true},
     selected = {true}
   }

2. Sensors

   A Model to Develop Chatbots for Assisting the Teaching and Learning Process

   Mendoza, Sonia, Sánchez-Adame, Luis Martín, Urquiza-Yllescas, José Fidel, González-Beltrán, Beatriz A., and Decouchant, Dominique

   Sensors 2022

   Abs Bib HTML

   Recently, in the commercial and entertainment sectors, we have seen increasing interest in incorporating chatbots into websites and apps, in order to assist customers and clients. In the academic area, chatbots are useful to provide some guidance and information about courses, admission processes and procedures, study programs, and scholarly services. However, these virtual assistants have limited mechanisms to suitably help the teaching and learning process, considering that these mechanisms should be advantageous for all the people involved. In this article, we design a model for developing a chatbot that serves as an extra-school tool to carry out academic and administrative tasks and facilitate communication between middle-school students and academic staff (e.g., teachers, social workers, psychologists, and pedagogues). Our approach is designed to help less tech-savvy people by offering them a familiar environment, using a conversational agent to ease and guide their interactions. The proposed model has been validated by implementing a multi-platform chatbot that provides both textual-based and voice-based communications and uses state-of-the-art technology. The chatbot has been tested with the help of students and teachers from a Mexican middle school, and the evaluation results show that our prototype obtained positive usability and user experience endorsements from such end-users.

   @article{J5:2022,
     author = {Mendoza, Sonia and Sánchez-Adame, Luis Martín and Urquiza-Yllescas, José Fidel and González-Beltrán, Beatriz A. and Decouchant, Dominique},
     title = {A Model to Develop Chatbots for Assisting the Teaching and Learning Process},
     journal = {Sensors},
     year = {2022},
     volume = {22},
     number = {15},
     article-number = {5532},
     issn = {1424-8220},
     doi = {10.3390/s22155532},
     abbr = {Sensors},
     html = {https://doi.org/10.3390/s22155532},
     bibtex_show = {true},
     selected = {true}
   }