Creating model-based adaptive environments using game-specific and game-independent analytics

Producción científica: Conference contributionrevisión exhaustiva

Resumen

My research involves creating and evaluating adaptive game environments using player models created with data-driven techniques and algorithms. I hypothesize that I will be able to change parts of a game to elicit certain behaviors from players, and that these changes will also result in an increase of engagement and/or intrinsic motivation. Initial results in my testbed game, Scrabblesque, indicate that data-driven models and techniques can be used to influence player behavior and that these changes in play behavior manifest themselves as an increase in engagement and intrinsic motivation.

Idioma originalEnglish
Título de la publicación alojadaProceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013
Páginas1666-1667
Número de páginas2
DOI
EstadoPublished - 2013
Evento27th AAAI Conference on Artificial Intelligence, AAAI 2013 - Bellevue, WA, United States
Duración: jul 14 2013jul 18 2013

Serie de la publicación

NombreProceedings of the 27th AAAI Conference on Artificial Intelligence, AAAI 2013

Conference

Conference27th AAAI Conference on Artificial Intelligence, AAAI 2013
País/TerritorioUnited States
CiudadBellevue, WA
Período7/14/137/18/13

ASJC Scopus subject areas

  • Artificial Intelligence

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