Home // International Journal On Advances in Software, volume 15, numbers 1 and 2, 2022 // View article

Leveraging Gamma Corrections for an Overhead Reduced Mood Adaptive Display Coloring

Authors:
Lukas Brodschelm
Felix Gräber
Daniel Hieber
Marc Hermann

Keywords: Advanced Human Computer Interaction; Mood Adaptive Coloring; Adaptive Display Coloring; Color Psychology; Emotion Recognition

Abstract:
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.

Pages: 43 to 53

Copyright: Copyright (c) to authors, 2022. Used with permission.

Publication date: June 30, 2022

Published in: journal

ISSN: 1942-2628