five

goal&feedbackExperiment_2023-06-11.csv

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DataCite Commons2024-05-05 更新2024-07-13 收录
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https://auckland.figshare.com/articles/dataset/goal_feedbackExperiment_2023-06-11_csv/25751553/1
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In my dissertation, I explored the interplay between queue configuration and server performance, with the aim to identify the underlying mechanisms driving distinct behaviors.In the second lab experiment of my thesis, I examine servers' perceptions of goal characteristics and feedback levels within different queue configurations. My findings indicate that, provided social loafing is controlled, there is no significant performance difference between servers in shared and dedicated queues in terms of work rate and persistence. However, dedicated queues foster an environment conducive to more specific goal-setting and improved perception of feedback, which can enhance performance by empowering servers to devise smarter strategies to accomplish their tasks.This file is the raw data for my second experiment. This is the csv file from M-turk.

本人在学位论文中探究了队列配置(queue configuration)与服务器性能(server performance)之间的相互作用,旨在阐明驱动差异化行为表现的内在机制。在本论文的第二项实验室实验中,本人考察了不同队列配置下服务器对任务目标特征与反馈强度的感知情况。研究结果表明,在控制社会惰化效应的前提下,共享队列(shared queues)与专属队列(dedicated queues)中的服务器在工作速率与任务坚持性方面不存在显著性能差异。但专属队列能够营造更利于开展明确目标设定、提升反馈感知的环境,通过赋能服务器制定更智能的任务完成策略,从而提升其性能表现。本文件为本人第二项实验的原始数据,即来自 M-turk(Amazon Mechanical Turk)的CSV格式文件。
提供机构:
The University of Auckland
创建时间:
2024-05-05
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