VISUAL PERCEPTION THEORY-DRIVEN DESIGN FOR POLICE DRONES: COORDINATED OPTIMIZATION OF MORPHOLOGICAL SEMANTICS AND FUNCTIONAL PERFORMANCE

Abstract

Current police drone designs often face the problem of disconnection between morphological semantics and deterrence efficacy, resulting in compromised public recognition and law enforcement authority. To address insufficient deterrence caused by "morphological homogenization," this study proposes an interdisciplinary design method. By integrating multidisciplinary fields such as product morphological semantics, we construct a dual-track coding model of "technical signifiers-deterrence signifieds," validated through parametric modeling and cognitive experiments. The results show that the optimized design enhances professional identity recognition and deterrence perception while balancing functionality and visual communication. This research establishes a new design paradigm and evaluation system, providing methodological support for the symbolic deterrence construction of intelligent police equipment.