摘要
色彩在增强船舱吸引力、优化乘客体验方面扮演着至关重要的角色.为了准确有效地评估舱室内装色彩设计与乘客情绪感知之间的联系,通过整合环境数据、情感需求分析和用户反馈等多源信息,提出并设计了一种基于沉浸式虚拟现实(Immersive Virtual Reality,IVR)的集成框架.首先,建立一个包含视觉和谐和人体偏好两种测量方法的优化模型,用于评估色彩搭配的美学性能.然后,采用愉悦相关的语言价值赋值方法估计色彩搭配的视觉和谐得分.为了求解该优化模型,采用了一种基于小群体的交互式粒子群优化(Interactive Particle Swarm Optimization,IPSO)算法,通过人工判断来考虑情绪对色彩搭配的偏好.原型系统在游戏引擎环境Unity 3D中开发,以头戴式显示设备HTC Vive实现,提供了交互式和身临其境的用户体验.最后,通过整合多源数据在不同的船舱室内场景中进行用户测试,验证研究框架.测试结果表明,该方法可以在舱室场景中自动调整船舱色彩,使其更加符合乘客的情感需求.
Colors play a crucial role in enhancing the attractiveness of ship cabins and optimizing passenger experiences.To accurately and effectively assess the connection between interior color design of cabins and passengers emotional perception,this paper proposes and designs an integrated framework based on Immersive Virtual Reality(IVR),combining environmental data,emotional demand analysis,and user feedback.Firstly,an optimization model incorporating two measurement methods,visual harmony and human preferences,was established to evaluate the aesthetic performance of color combinations.Subsequently,a pleasure-related language value assignment method was employed to estimate the visual harmony scores of color combinations.To solve the proposed optimization model,an Interactive Particle Swarm Optimization(IPSO)algorithm based on small groups was adopted by considering emotions and preferences for color combinations through human judgment.The prototype system was developed in the Unity 3D game engine environment and implemented with the HTC Vive head-mounted display to provide an interactive and immersive user experience.Finally,user tests in different ship cabin interior scenes were conducted to validate the research framework by integrating data from various sources.The test results indicate that the proposed method can automatically adjust the colors of ship cabins in cabin scenes to better match passengers emotional needs.
作者
沈洁
许莉钧
SHEN jie;XU Lijun(School of Mechanical Engineering,Jiangsu University of Science and Technology,Zhenjiang Jiangsu 212100,China;Institute of Art and Design,Nanjing Institute of Technology,Nanjing 211167,China)
出处
《西南大学学报（自然科学版）》
CAS
CSCD
北大核心
2024年第8期150-161,共12页
Journal of Southwest University(Natural Science Edition)
基金
江苏省自然科学基金项目(BK20210449)
2023江苏省高校哲学社会科学项目(2023SJYB0429)
2023年江苏省研究生教育教学改革项目(2023YJYJG02).
关键词
多源数据
舱室内装
色彩设计
情绪匹配
沉浸式虚拟现实
交互式粒子群优化
multi-source data
cabin interior
color design
emotion matching
immersive virtual reality
interactive particle swarm optimization
