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Mood Adaptive Display Coloring - Utilizing Modern Machine Learning Techniques and Intelligent Coloring to Influence the Mood of PC Users

Authors:
Lukas Brodschelm
Felix Gräber
Daniel Hieber
Marc Hermann

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

Abstract:
Abstract—Humans are able to 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, few research has been conducted in the human computer interaction area of this topic. Heavily relying on color in user interfaces of any kind the emotional aspect is often ignored and unwritten rules are applied. The gaming field provides many examples for such rules with red explosives and blue mana. Breaking with this trend, we present a novel mood adaptive display coloring approach. Utilizing psychological studies and state of the art machine learning technologies an intelligent coloring system is implemented. It is able to directly influence the emotion of human users, combating negative emotions and supporting positive feelings. Further a completely functional prototype is implemented. While fully working, there is much work left to refine and improve the project in this heavily neglected area.

Pages: 48 to 54

Copyright: Copyright (c) IARIA, 2021

Publication date: July 18, 2021

Published in: conference

ISSN: 2308-4138

ISBN: 978-1-61208-870-9

Location: Nice, France

Dates: from July 18, 2021 to July 22, 2021