Author(s): Dongsei Kim
This paper examines what the public, architects, urban designers, and city officials can learn about significant public spaces from emergent technologies and data generated from growing social media. Interrogating this analytical method aids us to recognize social media’s potentials, such as gaining a deeper understanding of the relationship between how public spaces are “represented” and how they are “physically experienced” through the means of technology. This investigation combines emerging image recognizing algorithms— Semantic Segmentation—with location-tagged images from Instagram to investigate the newly opened Seoullo 7017 walkway in Seoul. It argues that we should recognize these newly generated “big data” as a form of “collective intelligence” that can stimulate proactive engagement with our everyday interactions with public space. Equally, the findings of this investigation reveal to our society how to cautiously engage these “collective intelligence” with counterbalancing values.
https://doi.org/10.35483/ACSA.Intl.2018.19
Volume Editors
Ángela García de Paredes, Iñaqui Carnicero & Julio Salcedo-Fernandez
ISBN
978-1-944214-18-0