Abstract: The rapid development of intelligent products has brought new challenges for capturing the intricate user demand network,the category of demand often exists in the intersection of sensory perception and cognitive interpretation to effectively promote the quality of intelligent product demand identification,strengthen the symbiotic association of the existing human factors effect and interaction experience,promote the adaptive development of intelligent products with continuous innovation of the new quality of intelligent product productivity that is the establishment of the iterative method of intelligent product design for the long run optimization theoretical model.By exploring the user needs and nuances at the micro level,a multimodal sensory integration framework was proposed and the multimodal sensory integration related technologies was utilized to improve the finesse and precision of smart product design.With the help of integrated cross-modal data flow,different sensory inputs were mapped to specific user needs,and their response mechanisms were obtained to enhance the coupled innovation in the user's changing needs.Ultimately,adaptive behaviors and user preferences were predicted to support more empathetic design concepts.In terms of rationality,the proposed method could significantly improve the genetic benefit transformation mechanism of smart product demand,effectively assist the fuzzy demand evaluation in the process of human-computer interaction to a certain extent,and ultimately improve the smart product demand quality identification and design iteration prediction.Multimodal micro-sensory demand identification and evaluation iterative method research could provide effective design management basis for the manufacturing side to promote intelligent product human-machine collaboration,personalized innovation and development,guide artificial intelligence-assisted innovative design to achieve the same frequency resonance with the user's micro needs,and ultimately consolidate and expand the new quality of intelligent products productivity advantages.

Key words: multimodal perception, micro-demands, smart products, human-computer interaction, innovation paradigm

摘要： 智能产品快速发展为捕捉错综复杂的用户需求网络带来了新的挑战,该类别需求往往存在于感官感知和认知解释的交汇处,为有效推动智能产品需求识别质量,强化现有人因效应与交互体验的共生关联,以持续创新推进智能产品新质生产力自适应发展即建立智能产品设计迭代方法长效优化理论模型。通过探讨感知层面用户需求及细微差别,提出多模态感官集成框架并利用多模态感官集成相关技术提高智能产品设计的细腻度和精确度。借助综合跨模态数据流,将不同感官输入与特定用户需求相互映射,进而获取其响应机制以提升用户变化需求中的耦合关联创新。最终得出相关智能产品自适应性行为及用户偏好预测,以支持更具共情的设计理念。从学理性而言所提方法可显著提升智能产品需求遗传效益转化机制,且在一定程度上可有效辅助人机交互过程中的模糊需求评价最终完善智能产品需求质量识别与设计迭代预测。多模态感官需求识别评价迭代方法研究可为其制造端提供有效设计管理依据进而推进智能产品人机协同、个性化创新发展,引导人工智能辅助创新设计进而实现与用户需求同频共振,最终巩固扩大智能产品新质生产力优势。

关键词: 多模态感知, 感知需求, 智能产品, 人机交互, 创新范式