Dynamic Difficulty Adjustment in a Whac-a-Mole like Game
| Autor: | Bruno E. R. Garcia, Marcio K. Crocomo, Kleber de Oliveira Andrade |
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| Rok vydání: | 2018 |
| Předmět: |
060201 languages & linguistics
Computer science business.industry Movement (music) Evolutionary algorithm Response time 06 humanities and the arts 02 engineering and technology Motor rehabilitation Radial deviation Position (vector) 0602 languages and literature 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Ulnar deviation Artificial intelligence business Set (psychology) |
| Zdroj: | SBGames |
| DOI: | 10.1109/sbgames.2018.00020 |
| Popis: | Based on the Evolutionary Algorithm (EA) proposed by [1], this paper presents a new EA version with dynamic difficulty adjustment for a Whac-a-Mole like game used in motor rehabilitation of hand. This new version considers user performance as input and generates the position and time that the target will stay on screen. In order to simulate different users needs, a variety of player profiles were created with diverse horizontal movement speed (ulnar deviation/radial deviation of the hand) and vertical movement speed (supination/pronation of hand), as well as distinctive player attention deficits (response time to the apparition of the targets). The results show that the developed EA can adjust the difficulty factors of the game according to the skill set of each profile. Keywords-Human-Computer Interactive; Serious Games for Rehabilitation; Artificial Intelligence; Evolutionary Algorithm; Dynamic Difficulty Adjustment. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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