Leveraging Gamma Corrections for an Overhead Reduced Mood Adaptive Display Coloring

Creators: Brodschelm, Lukas and Gräber, Felix and Hieber, Daniel and Hermann, Marc
Title: Leveraging Gamma Corrections for an Overhead Reduced Mood Adaptive Display Coloring
Item Type: Article or issue of a publication series
Journal or Series Title: International Journal on Advances in Software
Page Range: pp. 43-53
Date: 2022
Divisions: Gesundheitsmanagement
Abstract (ENG): Humans can recognize a wide range of colors and interpret them in many different ways. Besides obvious effects like highlight and beautification, these colors can influence the emotional state of humans in a significant way. While this is no new information and color psychology is a heavily discussed topic in the psychological area, little research has been conducted in the human-computer interaction area of this topic. We presented a mood adaptive display coloring prototype in a previous paper, in this work the second iteration of the prototype is introduced. The second version extends the previous implementation, which utilizes psychological studies and state of the art machine learning technologies, with a new gamma shift-based coloring approach we present a greatly overhead reduced coloring service. The focus of using gamma shifting instead of overlays is to optimize the software for use on low-performance computers. To obtain equivalent results an approach is introduced, how to calculate a gamma-based shift, that is similar to alpha blend overlays. In order, that the overhead reduced version is still able to have the same influence effects on the emotion of human users as the previously presented prototype.
Forthcoming: No
Language: English
Link eMedia: Download
Citation:

Brodschelm, Lukas and Gräber, Felix and Hieber, Daniel and Hermann, Marc (2022) Leveraging Gamma Corrections for an Overhead Reduced Mood Adaptive Display Coloring. International Journal on Advances in Software, 15 (1&2). pp. 43-53. ISSN 1942-2628

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