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There are few studies on the tricolor design optimization, and the influence of color‐area ratio on users' emotion has been ignored. This article aims to achieve multiobjective optimization of tricolor product color design. Two modes of color‐area ratio are put forward. Using the proposed method of generating tricolor schemes, 368 tricolor schemes of the representative baby carriage are designed. Through questionnaire survey, color images are screened, and combined with correlation analysis and factor analysis, five perceptual features of color design are determined as “Order,” “Excitement,” “Temperature,” “Color harmony,” and “Users' emotional preference.” From two perspectives of color information processing, radial basis function neural networks are used to construct two emotional evaluation models. By integrating the radial basis function neural networks and a genetic algorithm, this study achieves multiobjective optimization of tricolor product color design for two optimization objectives of color harmony and users' emotional preference. Verification results show that the optimization schemes are significantly better than other schemes. Due to similar product characteristics, children's electric car is utilized to verify the generalization capability of the optimization method proposed in this article. It has been demonstrated that the optimization schemes achieve higher scores than randomly selected color schemes and the actual subjective scores match with the predicted scores computed by the color optimization method.

Background The predictive value of the prognostic tool for patients with advanced cancer is uncertain in mainland China, especially in the home-based palliative care (HPC) setting. This study aimed to compare the accuracy of the Palliative Prognostic Index (PPI), the Performance Status–Based Palliative Prognostic Index (PS-PPI), and the Chinese Prognosis Scale (ChPS) for patients with advanced cancer in the HPC setting in mainland China. Methods Patients with advanced cancer admitted to the hospice center of Yuebei People’s Hospital between January 2014 and December 2018 were retrospectively calculated the scores according to the three prognostic tools. The Kaplan-Meier method was used to compare survival times among different risk groups. Receiver operating characteristic curve analysis was used to assess the predictive value. The accuracy of 21-, 42- and 90-day survival was compared among the three prognostic tools. Results A total of 1863 patients were included. Survival time among the risk groups of all prognostic tools was significantly different from each other except for the PPI. The AUROC of the ChPS was significantly higher than that of the PPI and PS-PPI for 7-, 14, 21-, 42-, 90-, 120-, 150- and 180-day survival (P < 0.05). The AUROC of the PPI and PS-PPI were not significantly different from each other (P > 0.05). Conclusions The ChPS is more suitable than the PPI and PS-PPI for advanced cancer patients in the HPC setting. More researches are needed to verify the predictive value of the ChPS, PPI, and PS-PPI in the HPC setting in the future.

Visual aesthetic directly affects the user's purchase decision and results from the user's analysis and judgment after perceiving product appearance. Therefore, understanding the neural mechanisms of visual experience is critical for product design. This study combined subjective evaluation with ERPs (event‐related potentials) to investigate the user's aesthetic experience as evoked by smartphones. A visual aesthetic scale was constructed, and the results from the questionnaire were used to verify the reliability of the aesthetic scale. Before the ERPs experiment was constructed, smartphones were divided into higher visual aesthetic and lower visual aesthetic based on subjective evaluation according to the aesthetic scale. An amended oddball paradigm was then used in the ERPs experiment. Landscapes were presented as rare targets, while smartphone pictures were presented as frequent nontarget stimuli. The ERPs were then averaged separately for each aesthetic type. Two negative components were recorded and compared with respect to two aesthetic types on the participants’ prefrontal, frontal, and central sites. The smartphone pictures with lower scores of visual aesthetic elicited larger amplitudes of N100/N200 than those with higher scores according to the within‐subjects, repeated‐measures analysis of variance. The exploring of neural responses correlated with visual aesthetic can provide an accurate method of measuring the user's perception and can help marketers know which product gives the user a higher visual aesthetic experience. The difference of ERPs may be taken as an evaluating indicator of product design.