Publikationen | Hochschule Flensburg

2017

"Not Another Z Piece!": Adaptive Difficulty in TETRIS

Spiel, K. ., Bertel, S. ., & Kayali, F. . (2017). "Not Another Z Piece!": Adaptive Difficulty in TETRIS. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (S. 5126–5131). New York, NY, USA: Association for Computing Machinery. Abgerufen von https://doi.org/10.1145/3025453.3025721

Abstract

Difficulty in TETRIS is adjusted by adapting the speed with which blocks fall. In this contribution, we describe results of an exploratory study in which we investigated relationships between players performance and their subjective assessment of difficulty and fun. We tested five different algorithms that, instead of adjusting game speed, adjust difficulty by choosing blocks based on the current game state. With our results, we establish pile height and bumpiness as parameters that indicate the performance of a player during a live game, discuss the inherent difficulty of different block choosing algorithms and show how the relationship between fun and perceived difficulty varies for distinct player groups. With regard to adapting difficulty, we argue that one can still teach an old dog such a TETRIS a lot of new tricks.

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Low Cost Rapid Acquisition of Bidirectional Texture Functions for Fabrics

Azari, B. ., Wüthrich, C. A., & Bertel, S. . (2017). Low Cost Rapid Acquisition of Bidirectional Texture Functions for Fabrics. In 25th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG 2017). Plzen, Czech Republic.

Abstract

Creating photo realistic images from real word complex materials is a great challenge: the reflectance function of materials, especially fabrics, has glossy or specular highlights, reflectance anisotropy and retroreflections. This increases greatly the complexity of rendering. Bidirectional Texture Functions (BTFs), i.e. 2D textures acquired under varying illumination and viewing directions, have been used to render complex materials. However, the acquisition of textures for BTF requires up to now expensive setups and the measurement process is very timeconsuming as the directional dependent parameters (lighting and viewing directions) have to be controlled accurately. This paper will present in detail a new low cost programmable device for the rapid acquisition of BTF datasets. The device allows to acquire BTF databases at a fraction of the cost of available setups, and allows to experiment when a texture resolution and sample density increase in the parameter space is not perceivable by an observer of the renderings. The paper proves that using smaller resolution textures and decreasing the samples in parameter space does not lead to a loss of picture quality.

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