Cognitive Architecture to Generate Motivational Feelings: A Way to Improve Visual Learning in Robots

Tooba Wasim Ahmad Khan, Faiza Abdullah Maryam Bashir

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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