Norms are applied in multiagent systems as mechanisms capable of restricting the behavior of software agents in order to achieve a desirable social order. However, norms eventually can be conflicting - for example, when there is a norm that prohibits an agent to perform a particular action and another norm that obligates the same agent to perform the same action in the same period of time. The agent s decision about which norms to fulfill can be defined based on rewards, punishments and agent goals. Sometimes, this balance will not be enough to allow the agent to make the best decision. In this context, this proposal introduces an approach that considers the agent s personality traits in order to improve the plan decision-making process and resolving normative conflicts. Our approach s applicability and validation is demonstrated by an experiment that reinforces the importance of considering the norms both in the agent and society s points of view.