41 research outputs found

    Efficient Human-Machine Work Transfer Through Latent Structure Decomposition

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    When humans delegate tasks---whether to human workers or robots---they do so either to trade money for time, or to leverage additional knowledge and capabilities. For complex tasks, however, describing the work to be done requires substantial effort, which reduces the benefit to the requesterwho delegates tasks. On one hand, human workers---e.g., crowd workers, friends or colleagues on social network, factory workers---have diverse knowledge and level of commitment, making it difficult to achieve joint efforts towards the requester\u27s goal. In contrast, robots and machines have clearly defined capabilities and full commitment, but the requester lacks an efficient way to coordinate them for flexible workflows. This dissertation presents a series of workflows and systems to enable efficient work transfer to human workers or robots. First, I present BlueSky, a system that can automatically coordinate hundreds of crowd workers to enumerate ideas for a given topic. The latent structure of the idea enumeration task is decomposed into a three-step workflow to guide the crowd workers. Second, I present CoStory, a system that requests alternative designs from friends or colleagues by decomposing the design task into hierarchical chunks. Third, I present AdapTutAR, a system that delegates machine operation tasks to workers through adaptive Augmented Reality tutorials. Finally, I present Vipo, a system that allows requesters to customize tasks for robots and smart machines through spatial-visual programming. This dissertation demonstrates that decomposing latent task structure enables task delegation in an on-demand, scalable, and distributed way

    BlueSky

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    Research on the Prediction of Shenzhen Growth Enterprise Market Price Index Based on EMD-ARIMA Model

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    Feature research on unstructured P2P multicast video streaming

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    Task Design for Crowdsourcing Complex Cognitive Skills

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    Design of the Universal Information Exchange Protocol forOn-board Equipments of Rail Transit

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    With the information and intelligence development of rail transit equipment, a safe, reliable, unified and efficient data exchange protocol is needed for vehicle equipment access. This paper proposes a universal information exchange protocol (UXP) made up with a series of basic services. Privilege management mechanism is defined in the UXP and data transmission is dynamically encrypted. The protocol provides efficient data transmission modes, such as break-point continuously transmission, compression transmission, and sliding window transmission and dynamic retransmission mechanism are introduced to improve the transmission efficiency of the protocol. Through various verification such as communication performance comparison between UXP and FTP, UXP communication performance before and after optimization, the results show that the UXP can maintain efficient data transmission in different network environments and guarantee the security of data transmission
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