Thing Constellation Visualizer: Exploring Emergent Relationships of Everyday Objects
| العنوان: | Thing Constellation Visualizer: Exploring Emergent Relationships of Everyday Objects |
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| المؤلفون: | Yi-Ching Huang, Lin-Lin Chen, Jane Yung-jen Hsu, Rung-Huei Liang, Yu-Ting Cheng |
| المساهمون: | Future Everyday, EAISI High Tech Systems, EAISI Foundational, EAISI Health |
| المصدر: | Proceedings of the ACM on Human-Computer Interaction, 5:479. Association for Computing Machinery, Inc |
| بيانات النشر: | Association for Computing Machinery (ACM), 2021. |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | FOS: Computer and information sciences, thing constellation, computational thing ethnography, Social network, Computer Networks and Communications, business.industry, Process (engineering), Computer science, Computer Science - Human-Computer Interaction, IoT ecosystem design, Human-Computer Interaction (cs.HC), Human-Computer Interaction, Human–computer interaction, more-than human-centred design, Scalability, computer-supported creativity, Internet of Things, business, Social Sciences (miscellaneous), Constellation |
| الوصف: | 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. Accepted at CSCW 2021 |
| وصف الملف: | application/pdf |
| تدمد: | 2573-0142 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::08db075827e16c53122fe4b864ad8707 https://doi.org/10.1145/3479866 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....08db075827e16c53122fe4b864ad8707 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 25730142 |
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