| 摘要: |
| 目的 针对公共安全事件高频次、高复杂性的现实挑战，系统梳理国内外智能应急装备的交互方式与功能属性，结合数字孪生技术、智能可穿戴技术，以及传感器技术等智能技术，构建从场景需求到技术赋能再到体验优化的三维设计框架，提升应急产品在灾变环境中的功能可靠性与人文属性。方法 通过文献综述法与案例分析法，总结出交互设计的核心原则，揭示多模态融合交互、数字孪生技术及人机协同机制的研究热点。结论 研究表明，智能应急装备正从单一物理操控向自然交互演进，通过语音、触觉、视觉及脑机接口等多模态协同，显著提升复杂场景下的操作可靠性与救援效率，为工业设计赋能公共安全治理提供了理论支撑与技术路径，助力实现人机协同的智能应急新生态。 |
| 关键词: 智能应急装备 公共安全 交互方式 人机协同 |
| DOI：10.19554/j.cnki.1001-3563.2025.10.001 |
| 分类号: |
| 基金项目:2024年度河北省社会科学基金项目(HB24YS005) |
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| Review of Research on Interactive Methods of Intelligent Emergency Equipment from the Perspective of Public Safety |
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WANG Nianwen1, LU Chunshan1, BI Yifei2, MENG Xinpei1, ZHANG Yiying3, WANG Cuijie4
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(1. School of Arts and Design, Yanshan University, Hebei Qinhuangdao 066000, China;2. College of Art, Hebei Normal University of Science and Technology, Hebei Qinhuangdao 066000, China;3. School of Design and Arts, Beijing Institute of Technology, Beijing 102400, China;4. Huida Sanitary Ware Co., Ltd, Hebei Tangshan 050000, China)
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| Abstract: |
| Aiming at the realistic challenges of high frequency and high complexity of public security events, the interaction mode and functional attributes of intelligent emergency equipment in China and abroad are systematically combed. Combined with intelligent technologies such as digital twin technology, intelligent wearable technology and sensor technology, the work aims to construct a three-dimensional design framework from scene requirements to technical empowerment and then to experience optimization to improve the functional reliability and humanistic attributes of emergency products in the disaster environment. Through literature review and case analysis, the core principles of interaction design were summarized, and the research hotspots of multi-modal fusion interaction, digital twin technology and human-computer collaboration mechanism were revealed. The research shows that the intelligent emergency equipment is evolving from single physical control to natural interaction. Through multi-modal collaboration such as voice, touch, vision and brain-computer interface, it significantly improves operational reliability and rescue efficiency in complex scenes, provides theoretical support and technical path for industrial design to empower public safety governance, and helps realize a new intelligent emergency ecology of human-computer collaboration. |
| Key words: intelligent emergency equipment public safety interaction mode human-computer collaboration |
