
License: | ![]() |
Title: | Emotional adäquat reagierende KI-Agenten zur Erhöhung vonImmersion in Computerspielen |
Language: | German |
Authors: | Zagaria, Sebastian |
Keywords: | Affective Computing; Affective Gaming; AI; Game AI; Behavior Trees; Companion Technologie; Emotion Bike; Affectiva; Unity3d; Emotion recognition; Affective Computing; Affective Gaming; AI; Game AI; Behavior Trees; Companion Technologie; Emotion Bike; Affectiva; Unity3d; Emotion recognition |
Issue Date: | 29-Aug-2017 |
Abstract: | Affective Gaming beschäftigt sich mit der Fragestellung wie Technologien zur Emotionserkennung verwendet werden können, um bisherige Spielmechaniken mit einer emotionalen Komponente zu ergänzen. So kann das emotionale Verhalten von Spieler analysiert und emotional adaptive Spiele entwickelt werden, sodass die Immersion des Spielers erhöht wird. Eine der attraktivsten Lösungen zur Emotionserkennung... Affective Gaming is concerned with the question of how emotion recognition software can be utilized in Games to extend classic game mechanics with an emotional aspect. By analyzing the emotional behavior of players and developing emotional adaptive games to increase the immersion of players. One of the most promising technologies is emotion recognition with cameras. With a low budget entry cost an... |
URI: | http://hdl.handle.net/20.500.12738/8141 |
Institute: | Department Informatik |
Type: | Thesis |
Thesis type: | Master Thesis |
Advisor: | von Luck, Kai |
Referee: | Jenke, Philipp |
Appears in Collections: | Theses |
Files in This Item:
File | Size | Format | |
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masterarbeit_zagaria.pdf | 51.12 MB | Adobe PDF | View/Open |
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