Grant: Applied Research and Development Grants - Level 2
Mohawk College of Applied Arts and Technology
$34,403.00
Artificial Neural Network Development with Player Data for Virtual Reality Game Immersion
EF 2019-20
Résumé
Mohawk College and Shaftesbury Lucid Inc. (Shaftesbury) will collaborate to co-design and further develop, train, and test a proprietary adaptive game system. Shaftesbury will integrate the results into their horror entertainment Virtual Reality (VR) video game, Lucid VR (Lucid). The project will develop an Artificial Neural Network (ANN) to optimize players' in-game entertainment experiences for the maximum 'immersive effect'. The desired immersive effect is optimum player engagement in the three-dimensional (3D) video game. The project team will achieve that by providing game Dynamic Difficulty Adjustment (DDA) based on the ANN outputs. Players' in-game motions are different and require ANN assessment of their level of immersion and DDA to adjust game play accordingly. To do this effectively, the ANN, which is an Artificial Intelligence (AI) technique, requires iterations of testing and adjustment, development, training and game testing.The goal is an improved ANN that tracks a player's physical movements via controller motions during Lucid gameplay, and in response to those motions, Lucid will provide an adjusted gameplay experience. A player's physical controller movements represent a player's level of engagement with the game and correlate to their emotional responses and state. Shaftesbury also plans to use the project's outputs to improve player immersion for their upcoming VR games. Video game players are loyal and demanding, therefore it is important to provide optimum immersion to ensure quality player (gamer) engagement, responses, and positive word of mouth. A horror game must entertain and scare its players. Word of mouth is critical to video game success, and early positive reviews from engaged experiences are key to commercial success.The Entertainment Software Association of Canada reported that in 2017, the Canadian video game industry employed 40,600 people with direct and indirect full-time equivalent positions, and the industry contributed $3.7 billion annually to the Gross Domestic Product. This project's outcomes will help Shaftesbury further establish its place within the industry to further contribute to the jobs provided and GDP created.
Programme
Applied Research and Development Grants - Level 2
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
544775-2019
Name nom
Toosizadeh, Saeed
Department département
Head Office
Organization id
2189
Institution établissement
Mohawk College of Applied Arts and Technology
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2019
Competition year année de concours
2019
Award amount
34403
Program id
CARD2
Program name en
Applied Research and Development Grants - Level 2
Program name fr
Subventions de recherche et développement appliquée - niveau 2
Group en
RESEARCH PARTNERSHIPS
Group fr
PARTENARIATS DE RECHERCHE
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
801
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Computer software
Area of application fr
Logiciel
Research subject code
2800
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Artificial intelligence (computer vision, use2603)
Research subject fr
Intelligence artificielle (vision artificielle, utiliser 2603)
Installment
inst:1 - 1
Partie
1
Nb partie
1
Application title
Artificial Neural Network Development with Player Data for Virtual Reality Game Immersion
Keyword
NSERC
Application summary
Mohawk College and Shaftesbury Lucid Inc. (Shaftesbury) will collaborate to co-design and further develop, train, and test a proprietary adaptive game system. Shaftesbury will integrate the results into their horror entertainment Virtual Reality (VR) video game, Lucid VR (Lucid). The project will develop an Artificial Neural Network (ANN) to optimize players' in-game entertainment experiences for the maximum 'immersive effect'. The desired immersive effect is optimum player engagement in the three-dimensional (3D) video game. The project team will achieve that by providing game Dynamic Difficulty Adjustment (DDA) based on the ANN outputs. Players' in-game motions are different and require ANN assessment of their level of immersion and DDA to adjust game play accordingly. To do this effectively, the ANN, which is an Artificial Intelligence (AI) technique, requires iterations of testing and adjustment, development, training and game testing.The goal is an improved ANN that tracks a player's physical movements via controller motions during Lucid gameplay, and in response to those motions, Lucid will provide an adjusted gameplay experience. A player's physical controller movements represent a player's level of engagement with the game and correlate to their emotional responses and state. Shaftesbury also plans to use the project's outputs to improve player immersion for their upcoming VR games. Video game players are loyal and demanding, therefore it is important to provide optimum immersion to ensure quality player (gamer) engagement, responses, and positive word of mouth. A horror game must entertain and scare its players. Word of mouth is critical to video game success, and early positive reviews from engaged experiences are key to commercial success.The Entertainment Software Association of Canada reported that in 2017, the Canadian video game industry employed 40,600 people with direct and indirect full-time equivalent positions, and the industry contributed $3.7 billion annually to the Gross Domestic Product. This project's outcomes will help Shaftesbury further establish its place within the industry to further contribute to the jobs provided and GDP created.