As technology evolves rapidly, understanding public perception becomes increasingly crucial. This article introduces an integrative method for evaluating mental models and social acceptance of various technologies. Our approach utilizes micro scenarios coupled with visual-spatial mapping, offering a comprehensive perspective that contrasts with traditional methods focused on detailed assessments of limited scenarios. This methodology allows for simultaneous quantitative evaluation of multiple technologies on visio-spatial maps, facilitating a comparative ranking based on diverse criteria and an exploration of the interplay between individual factors and technology attributes in shaping public opinion. Our approach provides a framework for researchers and policymakers to gauge critical issues and to identify factors pivotal to acceptance. We illustrate this methodology with examples from our research, offering practical guidelines and R code to enable others in conducting similar studies. This paper aims to bridge the gap between technological advancement and societal perception, offering a tool for more informed decision-making in the realm of technology development and policy.

翻译：摘要：随着技术的快速演进，理解公众感知变得愈发关键。本文提出一种整合性方法，用于评估不同技术的心智模型与社会接纳度。我们的方法利用微场景并结合视觉-空间映射，提供了一种全面的视角，与聚焦于有限场景详细评估的传统方法形成对比。该方法支持在视觉-空间图上同时对多种技术进行量化评估，便于基于多元标准进行比较排序，并探索个体因素与技术属性在塑造公众舆论中的相互作用。我们的框架为研究人员和政策制定者提供了衡量关键问题并识别影响接纳的关键因素的手段。我们通过研究中的实例阐述该方法，并提供实用指南及R代码，以便他人开展类似研究。本文旨在弥合技术进步与社会感知之间的鸿沟，为技术发展与政策领域的更明智决策提供工具。