As a user's QoE estimation technology, we develop a method to acquire and quantify QoE in real time using a device that measures the activity of human brain. It is known that the human has cognitive biases, which lead to a gap between the QoS and QoE. Therefore, we modeled the cognitive biases and develop the method to recommend an appropriate bit rate in streaming services by considering the cognitive biases. We also develop the method of the cooperation of agents that deployed a human cognitive decision-making model, and confirmed that our method improves the speed and accuracy of decision making to select a streaming service.