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Crowdsourcing has gained popularity as a tool to harness human brain power tohelp solve problems that are difficult for computers. Previous work incrowdsourcing often assumes that workers complete crowdwork independently. Inthis paper, we relax the independent property of crowdwork and explore howintroducing direct, synchronous, and free-style interactions between workerswould affect crowdwork. In particular, motivated by the concept of peerinstruction in educational settings, we study the effects of peer communicationin crowdsourcing environments. In the crowdsourcing setting with peercommunication, pairs of workers are asked to complete the same task together byfirst generating their initial answers to the task independently and thenfreely discussing the tasks with each other and updating their answers afterthe discussion. We experimentally examine the effects of peer communication incrowdwork on various common types of tasks on crowdsourcing platforms,including image labeling, optical character recognition (OCR), audiotranscription, and nutrition analysis. Our experiment results show that thework quality is significantly improved in tasks with peer communicationcompared to tasks where workers complete the work independently. However,participating in tasks with peer communication has limited effects oninfluencing worker's independent performance in tasks of the same type in thefuture.

Working in Pairs: Understanding the Effects of Worker Interactions in Crowdwork