<p>Product color emotional design (PCED) systems are characterized by a power-law distribution; this is manifested as a small number of colors constituting a large number of emotional connections of users, and the majority of colors constituting a small number of emotional connections of users. This will lead to the neglect of the potential connections between colors, thus causing the inability to generate a product color design scheme based on color interactions. Consequently, the reliability of the design scheme ultimately undermines the reliability of the design scheme. For this reason, this paper proposes a PCED method based on interdependent networks (INs) and cascading failure (CF). First, a web crawler, word processing, clustering, and complex network analysis are utilized to construct the product color emotion dataset. Then, based on this dataset, the INs of color emotion are constructed, and the initial failure node in the color emotion network is determined based on a variety of important node judgment methods. Finally, the color scheme that meets the user’s emotional needs is generated via the CF-based product color scheme generation rules. The PCED of a high-speed rail business seat is provided as an example to verify the validity of the proposed method.</p>