City Research Online

Inspired by information: combining data visualization and generative techniques in early stage design research

Dove, G. (2013). Inspired by information: combining data visualization and generative techniques in early stage design research. Paper presented at the 9th ACM Conference on Creativity & Cognition, 17-06-2013 - 20-06-2013, Sydney, Australia.


The growth in online services and ubiquitous computing has resulted in organizations holding large amounts of valuable data. The technical and monetary barriers to reusing these data for new products or services are relatively low. To be successful however, such products or services require a potentially radical re-framing so that these data acquire new meaning. In addition, the contexts surrounding these data present all the difficulties associated with ‘wicked problems’. In this paper I will outline research investigating how we might utilize generative design methods, creativity techniques and information visualization to address some of the challenges in this design space. These challenges include the need to better understand what these data mean at present, how the context they come from is experienced and what these data could potentially do or mean in future. This will be illustrated with the work undertaken in two case studies.

Publication Type: Conference or Workshop Item (Paper)
Additional Information: © Dove, G.| ACM 2013. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of the 9th ACM Conference on Creativity & Cognition.
Publisher Keywords: Design Research; Information Visualization; Workshop Techniques
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Departments: School of Science & Technology > Computer Science > Human Computer Interaction Design
[thumbnail of inspiredbyinformation.pdf]
Text - Accepted Version
Download (139kB) | Preview


Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email


Downloads per month over past year

View more statistics

Actions (login required)

Admin Login Admin Login