2026/05/11 by Xini Hu, Daping Xi, Han Jiang +2 · 1 voice
Neuroscience · Physics and Astronomy · Psychology · #Aesthetic Perception and Analysis #Color Science and Applications #Color perception and design
paper · doi:10.1080/15230406.2026.2652401
openalex publication_date 2026/05/11 · openalex created_date 2026/05/12 · openalex updated_date 2026/06/18
Map emotional expression refers to the process of endowing maps with emotional qualities through visual design. Emotional expression consistent with the map context can enhance the user‘s emotional engagement, while the potential of map emotional expression remains insufficiently explored. Color plays a central role in facilitating emotional communication with map users, appropriate color style design has the potential to improve map’s emotional expressiveness. In this study, a map color style design model is proposed to support emotion-oriented color style design and enhance map emotional expression. The model introduces a Map Emotion Dataset for extracting emotional color manifold features, and constructs emotional coloring constraint functions to effectively guide the iterative process to generate map color styles that better align with target emotion. The proposed model offers a framework for enhancing the emotional expressiveness of maps through color style design. The perception evaluation results show that the color styles generated by the proposed model exhibit more stable performance than CycleGAN and manual design in different emotion categories and are generally well accepted by readers. Furthermore, in the evaluation of visual quality, the method demonstrates good performance in scene appropriateness, hierarchical clarity, and color rationality.