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一个空间众包引擎,协调志愿者的需求和任务完成目标
Maite Puerta-Beldarrain1, Oihane Gómez-Carmona1, Liming Chen2
1Deustotech, University of Deusto, Avda. Universidades 24, 48007 Bilbao, Spain.
Sensors (Basel, Switzerland)
|January 8, 2025
概括
本研究介绍了志愿者任务分配引擎 (VTAE),用于空间拥挤感知,改进用户体验并确保在没有经济激励的情况下公平分配任务. 通过专注于用户福利和强大的任务分配,VTAE加强了公民科学参与.
科学领域:
- * 计算机科学 计算机科学
- * 人与计算机的交互
- * 地理空间信息系统
背景情况:
- *空间拥挤感应通常依赖于经济激励,导致用户疲劳和参与度下降.
- * 无私参与模式需要替代策略来维持用户参与和任务完成.
- *现有的任务分配方法可能无法充分解决用户体验或公平的空间分布.
研究的目的:
- * 开发一个非货币任务分配解决方案,用于空间人群感知与利他主义参与者.
- *通过管理工作量和实施以用户为中心的方法来增强用户体验.
- * 确保在空间位置之间公平地分配任务,以增加对参与率波动的稳定性.
主要方法:
- * 开发了志愿者任务分配引擎 (VTAE) 算法.
- *通过控制环境中的计算机模拟来评估性能.
- * 实践中的实验,使用实际用户进行定性评估.
主要成果:
- * VTAE算法证明了在地理区域之间有效和公平的任务分配.
- *以用户为中心的设计原则被验证为公民科学应用的关键.
- * VTAE系统在维持参与和任务分配方面表现强大.
结论:
- * 志愿者任务分配引擎 (VTAE) 提供了一个可行的解决方案,以实现可持续的空间人群感知与利他主义参与者.
- *以用户为中心的设计和公平的任务分配是缓解用户疲劳和确保长期参与的关键.
- * VTAE方法成功地在公民科学倡议中平衡了系统稳定性和改进的用户体验.
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