As a public service place for citizens to handle various affairs, the spatial characteristics and customer behavior habits of the government center are different from commercial spaces. Fragrance design needs to pay more attention to a comfortable, fresh, and warm environment, helping to improve the comfort, emotional mobilization, and efficiency of citizens when handling affairs. Accurately considering the particularity of the government center as a public service venue, combined with the behavioral habits and service needs of citizens, we enhance the emotional mobilization, comfort, and overall experience of citizens through soothing fragrance design. Not only can it alleviate the anxiety and fatigue of citizens when handling affairs, but it can also enhance the overall brand image, service efficiency, and satisfaction of the government center. Through an intelligent fragrance management system, it helps improve overall service quality and citizen satisfaction.

Program objectives and planning

（1） Enhance the emotional mobilization and comfort of citizens: By designing fragrances, alleviate the anxiety and tension that citizens may experience while waiting and handling affairs, and provide a more pleasant service environment.

（2） Enhance the brand image of the government center: Through comfortable and warm fragrance design, enhance the overall image of the government center and help create a more approachable and service-oriented government image.

（3） Improving service efficiency and citizen satisfaction: By using fragrances, citizens can feel relaxed and happy when handling affairs, thereby improving overall efficiency and satisfaction.

（4） Provide a relaxing and soothing environment: Especially in high-pressure situations such as queuing and waiting, fragrances help citizens maintain a good mood and improve their work status.

Effect evaluation

Evaluate the effectiveness of fragrance solutions through citizen satisfaction surveys, social media feedback, queue time, consultation frequency, and other data, and continuously optimize based on feedback data.