Cognitive Architecture to Generate Motivational Feelings: A Way to Improve Visual Learning in Robots
Abstract
Expressions and voice pitch of an individual play an indispensable role in different cognitive processes. These factor help humans to learn a lot about different things present in their environment. This paper proposes a way to motivate robot learning through their environment and human around them. This mechanism is based on recognition of other agent’s facial expressions and voice pitch analysis by robot. A motivational level can be calculated through these feelings. Motivational level can impel the robots to improve their past learning. This mechanism can possibly help a robot to apprehend its environment and interact with other agents effectively.
Keywords: cognition; motivation; facial expression; voice pitch; perception; memory.
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ISSN (Paper)2222-1727 ISSN (Online)2222-2863
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