Shared Pasts: Decoding Complexity - Research Timeline & Research Questions

Shared Pasts: Decoding Complexity, is a practice-as-research project that investigates how spatial computing, data visualisation and augmented reality can be used to tell complex narratives about historic artefacts and places. This multi-component output spans two interrelated prototypes: ‘The Museum Collection Engine’ (2018) and ‘Shared Pasts: Decoding Complexity’ (2019).This item contains the Research Timeline & Research Questions for the project.

《共享过往：解码复杂性》是一项实践性研究项目，旨在探讨空间计算、数据可视化和增强现实如何被应用于叙述关于历史文物和场所的复杂叙事。该项目成果呈现为多组成部分，横跨两个相互关联的原型：‘博物馆藏品引擎’（2018年）和‘共享过往：解码复杂性’（2019年）。本项包含项目的研究时间表与研究方向问题。