Concept

Crowdsourced Video Captioning (Skill Development Framework for Micro-Tasking)

In the experiment, workers iteratively caption the same segment, earning points in proportion to the degree of similarity between the outputs. The gamified app CapCap is utilized for this.

  • In the pilot period, 713 video segments with English narrations were distributed to 105 volunteer workers. A total of 60 segments were completed, with an average word error rate (WER) of 4.0%.
  • The workers consisted of 15 native English speakers and 81 native Japanese speakers.
  • The skill of each worker, which we defined as the average WER of the captions created by the worker, varied widely from 13.2% to 67.2% (among those who played more than 5 rounds).
  • Slightly different incentives were needed for skill-focused workers versus task-oriented workers versus the most skilled workers who produced the highest quality results.

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Updated 2021-08-06

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