Designing future IoT ecosystems requires new approaches and perspectives to understand everyday practices. While researchers recognize the importance of understanding social aspects of everyday objects, limited studies have explored the possibilities of combining data-driven patterns with human interpretations to investigate emergent relationships among objects. This work presents Thing Constellation Visualizer (thingCV), a novel interactive tool for visualizing the social network of objects based on their co-occurrence as computed from a large collection of photos. ThingCV enables perspective-changing design explorations over the network of objects with scalable links. Two exploratory workshops were conducted to investigate how designers navigate and make sense of a network of objects through thingCV. The results of eight participants showed that designers were actively engaged in identifying interesting objects and their associated clusters of related objects. The designers projected social qualities onto the identified objects and their communities. Furthermore, the designers changed their perspectives to revisit familiar contexts and to generate new insights through the exploration process. This work contributes a novel approach to combining data-driven models with designerly interpretations of thing constellation towards More-Than Human-Centred Design of IoT ecosystems.
翻译:设计未来的IoT生态系统需要新的方法和视角来了解日常做法。研究人员认识到了解日常物体的社会方面的重要性,但有限的研究探索了将数据驱动模式与人类解释相结合以调查天体间突发关系的可能性。这项工作展示了Thing星座视觉仪(ThingCV),这是一个全新的互动工具,根据从大量收集的相片中得出的相近现象来对天体的社会网络进行可视化。ThingCV使得在具有可扩缩链接的物体网络上进行改变视角的设计探索。进行了两次探索性讲习班,以调查设计者如何通过物体CV对天体网络进行导航和理解。8名参与者的结果表明,设计者积极参与了确定有趣的物体及其相关物体群。设计者将社会品质投放到所查明的物体及其社区上。此外,设计者们改变了他们的观点,以重新审视熟悉的环境,并通过勘探过程产生新的洞察力。这项工作有助于采用新颖的方法,将数据驱动模型与对物体星座的设计解释相结合,以便了解更多-han人类聚焦的IoT生态系统设计。