
doi: 10.1109/mprv.2012.57
handle: 10203/175557
It has always been challenging for designers and developers to readily pinpoint potentially viable opportunities for emerging technologies in people's daily lives. In ubiquitous computing in particular, the uncontrollable dynamics of a user's context makes this issue even more prominent. In this article, the authors assume they can't hypothesize what users of new technologies will desire. To address this challenge, they developed discovery-driven prototyping, which lets users control what they will do with new technologies. Here, the authors describe DDP and its effectiveness through a series of in- situ user studies.
| citations The total number of citations received by all articles of the researcher of interest. | 19 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
