Thing Constellation Visualizer: Exploring Emergent Relationships of Everyday Objects
This work addresses the need for new approaches in IoT design by combining data-driven patterns with human interpretation, though it is incremental as it builds on existing ideas of social object networks.
The researchers tackled the problem of understanding emergent relationships among everyday objects for IoT ecosystem design by developing Thing Constellation Visualizer (thingCV), an interactive tool that visualizes object networks from photo co-occurrence data, and found in workshops with eight participants that designers actively engaged with the tool to identify objects, project social qualities, and generate new insights.
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.