8th International Conference on Computational Social Science - IC2S2 2022, Chicago (Estados Unidos de América). 19-22 julio 2022
Resumen:
In this paper, we present a prototype framework that combines a custom-made interactive story-like serious game and non-parametric Bayesian modeling (where the generative part of the model is an Agent-based simulation) with a Natural Language Processing (NLP) Deep Learning architecture to label risky decisions. This framework will be used to build an inferential model to categorize real (minor) players upon interaction with an appealing game related to cybercrime and online risk and, more promisingly, to detect risky patterns. The results coming from this research will allow developing science-based policies and educational interventions to protect minors and improve their experience online.
Resumen divulgativo:
Presentamos un marco que combina el juego serio y el modelado bayesiano no paramétrico con una arquitectura de Deep Learning de Procesamiento del Lenguaje Natural para etiquetar las decisiones de riesgo. Los resultados procedentes de esta investigación permitirán desarrollar políticas e intervenciones para mejorar la experiencia online de los menores.
Palabras clave: Agents, Artificial Intelligence, Human behavior modeling, Interactive story-like serious games, Synthetic data generation
Fecha de publicación: 2022-07-19.
Cita:
J. Pérez, V. Balmaseda, A.L. Urbistondo, E. Awad, M. Castro, G. López, A child’s play: an agent-based simulator to protect minors online, 8th International Conference on Computational Social Science - IC2S2 2022, Chicago (Estados Unidos de América). 19-22 julio 2022.
