Crowd computing harnesses the power of people out in the web to do tasks that are hard for individual users or computers to do alone. Like cloud computing, crowd computing offers elastic, on-demand human resources that can drive new applications and new ways of thinking about technology. This talk will describe several prototype systems we have built, including:
- Soylent, a Word plugin that crowdsources text editing tasks;
- VizWiz, an app that helps blind people see using a crowd’s eyes;
- Adrenaline, a camera shutter driven by crowd perception;
- Caesar, a system for code reviewing by a crowd of programmers.
Crowd computing raises new challenges at the intersection of computer systems and human-computer interaction, including minimizing latency, improving quality of work, and providing the right incentives to the crowd. The talk will discuss the design space and the techniques we have developed to address some of these problems. We are now in a position where “Wizard of Oz” is no longer just a prototyping technique – thanks to crowd computing, Wizard of Oz systems can be useful and deployable.