Dynamic Difficulty Adjustment in a Whac-a-Mole like Game

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Garcia, Bruno E. R., Crocomo, Marcio K., Andrade, Kleber O.
Format: Conference Proceeding
Language:English
Subjects:
Artificial Intelligence
Biological cells
Dynamic Difficulty Adjustment
Evolutionary Algorithm
Evolutionary computation
Games
Heuristic algorithms
Human-Computer Interactive
Industries
Mathematical model
Serious Games for Rehabilitation
Time factors
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:2159-6662
DOI:10.1109/SBGAMES.2018.00020