Please use this identifier to cite or link to this item:
Title: Discovering subway design opportunities using social network data : the image-need-design opportunity model
Authors: Zhao, T
Siu, KWM 
Sun, H
Keywords: Case study
Design model
Design opportunity
Design research
Social network service
Issue Date: 2017
Publisher: Springer
Source: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2017, v. 10283, p. 451-466 How to cite?
Journal: Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) 
Abstract: Online social networks have permeated into people’s daily lives. An increasing number of people from diverse backgrounds have expressed their viewpoints, feelings, and needs through the internet. Data from social network is widely used in every kind of academic social science. This study aims to apply data from online social networks into subway design work and promote a new way to discover design chance. By considering the Hong Kong, Shenzhen, and Tokyo subways as case studies, this study attempts to capture the images of subways. Through comparing the data from social network with users’ needs level, an updated Image-Need-Design Opportunity model with a cyclical process is created at theoretical level. This research provides an insightful reference for future design work and aims to evoke in researchers a desire to excavate potential design information from online social networks.
Description: 9th International Conference on Social Computing and Social Media, SCSM 2017, held as part of the 19th International Conference on Human-Computer Interaction, HCI 2017, 9 - 14 July 2017
ISBN: 9783319585611
ISSN: 0302-9743
EISSN: 1611-3349
DOI: 10.1007/978-3-319-58562-8_35
Appears in Collections:Conference Paper

View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

Citations as of Feb 18, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.