Oh Gosh!! Why is this game so hard? Identifying cycle patterns in 2D platform games using provenance data

Jacob, Lidson Barbosa; Clua, Esteban; Oliveira, Daniel de

doi:10.1016/j.entcom.2016.12.002

Cited by 5 publications

(2 citation statements)

References 30 publications

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“…Based on symmetrical coordination and artistic integrity to reflect the visual interface effect of two-dimensional games, the game interaction interface partition is established according to the unified and balanced characteristics of the visual interface. And the visual representation is expressed as: (15) where denotes the distance from any game interaction space to the reference image , and denote the overlapping vectors to be aligned, respectively, and denotes the twodimensional spatial coordinates. When the image is recovered, the number of iterations will cause the original image to deviate from the threshold value, perform image reorganization and adjust the recovery.…”

Section: Extraction Of Graphical Local Feature Informationmentioning

confidence: 99%

“…Jacob, L et al pointed out that game developers can balance game differences according to player age, genre, and expertise. The feasibility of using sequential pattern mining algorithms to identify loops in games by changing the game design recognition cycle by means of game interaction was evaluated with the game Super Mario World by using provenance data collected from game sessions [15]. Krestanova et al provide a descriptive overview of the application domain based on tangible user interfaces and connecting physical objects to digital interfaces, combining sensory technology concepts and techniques based on computer vision algorithms are combined.…”

Section: Introductionmentioning

confidence: 99%

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Application of graphic image processing technology in 2D game interface design

Liang

2023

Applied Mathematics and Nonlinear Sciences

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This paper uses big data information processing techniques for the underlying algorithm of interface interaction, calculates the number of game interface data points, and satisfies the hierarchical feature distribution of interface interaction. Using cross-compilation for information clustering, identifying fuzzy clustering central function feature classification, describing the underlying data statistical independent variables, and extracting graphical local feature information. Balancing constraint encoding and dictionary coefficient weighting parameters, processing edge feature images, and matching grayscale transformed image effects are conveyed. The results show that the image graphics technology has an accuracy rate of 87.25% for image recognition, the user satisfaction rate for the 2D game design interface is 78.60%, and users aged 30-40 are the largest group of game consumers. It indicates that graphic image processing technology can collect and obtain relevant information and data, thus providing important technical support for the development of the social game industry and promoting the deepening development of an information society.

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Section: Extraction Of Graphical Local Feature Informationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%