This research aims to convert the negative human emotional state to positive emotional state for better decision making in information seeking. A psychological emotional model will be used to identify the type of emotions. As emotions are triggers of decision making process in human and emotions are being influenced by the design of information seeking systems and the information overload, human behavior in information seeking is diverted to the negative emotional states due to design and information overload. Prior research has been focusing on specific type of emotion such as stress, frustration, anxiety in different scenarios. However, the gap is still there to not just only measure the type of emotion but to improve the affective wellbeing condition using the emotional data through improving the search system design. Design can heal or hurt. We would like to transform human negative emotional state to positive well-being by a better design approach in both human-computer interaction and human-human interaction.