Training of an intelligent agent to improve the gaming experience for video gamers

• Alvarado Villa, David Alejandro ^[1] ; Montesinos López, Osval Antonio ^[1] ; Santana-Mancilla, Pedro C. ^[1]
  1. [1] Universidad de Colima

     Universidad de Colima

     México

     
• Localización: Avances en Interacción Humano-Computadora, ISSN-e 2594-2352, Vol. 6, Nº. 1, 2021 (Ejemplar dedicado a: MexIHC 2021), págs. 123-125
• Idioma: español
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• Resumen

  • Today, video games have come a long way compared to the video games offered by the first consoles, both in technology and gameplay. However, one thing today's video games have in common with respect to the early video games is the use of intelligent agents to create a more competitive gaming environment for the video gamer. This work proposes the use of machine learning to create intelligent agents that analyze the player's skills and adjust their difficulty level according to these skills, with the aim of achieving a more immersive gaming experience and avoiding frustration for the video player.