谁会用这个?新兴技术的接受预测与认知-情感映射和跨学科的考虑在人类世

Sabrina Livanec, Michael Stumpf, Lisa Reuter, Julius Fenn, A. Kiesel
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引用次数: 3

摘要

在人类世,人类面临着巨大的挑战。科学和技术显然在应对这些挑战方面可以发挥重要作用,但是必须得到来自科学界和非科学界不同行动者的合作的补充。可能有益的技术只有在被社会接受的情况下才能充分发挥其潜力。参与和跨学科是这方面的关键概念。因此,对促进协作知识生产和从公众到科学界的反向交流的方法的需求很高。在本文中,我们建议应用认知-情感映射(CAM)来预测对新研究领域和可能产生的技术的心理接受度。例如,我们使用类似生命的材料系统。CAM可以在早期阶段进行验收预测——在原型尚未可用时已经用于基础研究。该方法弥合了定性和定量研究传统之间的差距。它的产品——认知情感地图(CAMs)——是一个生动的视觉工具。从这个角度来看,基于cam的技术接受评估可以被视为一种参与性的、跨学科的实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Who’s gonna use this? Acceptance prediction of emerging technologies with Cognitive-Affective Mapping and transdisciplinary considerations in the Anthropocene
In the Anthropocene, mankind is facing enormous challenges. Science and technology obviously have an essential role to play in addressing these challenges but have to be supplemented by the collaboration of different actors from the scientific and non-scientific community. Possibly beneficial technologies can only unfold their full potential if they are socially accepted. Participation and transdisciplinarity are key concepts in this regard. The need for methods fostering collaborative knowledge production and reverse communication from the public to the scientific community is accordingly high. In this article, we propose to apply Cognitive-Affective Mapping (CAM) to predict psychological acceptance of novel research fields and potentially resulting technologies. As an example, we use life-like materials systems. CAM enables acceptance prediction at an early stage—already for basic research when prototypes are not yet available. The method bridges the gap between qualitative and quantitative research traditions. Its product—Cognitive-Affective Maps (CAMs)—is a vivid visual tool. In perspective, CAM-based technology acceptance assessment can be conceived as a participatory, transdisciplinary practice.
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