CHS: Small: Data-Driven Retention in Crowdsourced Image Analysis and Mapping

CHS：小型：众包图像分析和绘图中的数据驱动保留

• 批准号: 1816426
• 负责人: Seth Cooper
• 金额: $ 49.49万
• 依托单位: Northeastern University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-01 至 2022-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1816426&HistoricalAwards=false
• 关键词: CHS; Small; Data; Driven; Retention

This research aims to improve individual participation, retention, and repeat engagement in citizen science image analysis. Improving engagement in citizen science may accelerate the pace of problem solving and discovery by allowing contributions from a larger group of people, broaden participation, and allow new pathways for involvement for communities who may not otherwise have had them. This project seeks to serve and build smaller regional non-profit organizations that are vital to regional resilience by connecting participants with organizations proposing projects and encouraging participant re-engagement and collaboration. It will develop and deploy an open-source web platform and toolkit for creating engaging citizen science projects. The motivating application is disaster response, which has the potential for broader impact as disasters are increasing in frequency and severity. However, the general approaches can be applied more broadly in the citizen science, crowdsourcing, human computation, and human-computer-interaction communities.This project has three main research aims. First, it will develop techniques to automatically improve the onboarding process of online citizen science projects. This will help to understand the impact of early tasks on longer-term engagement in such projects. Second, it aims to develop a model of participant disengagement that can be used to guide interventions that dynamically adjust to individual participants. These interventions will be examined in the context of multiple tasks types, limited participant history, and relevant diversions within the workflow. Third, while most crowdsourced citizen science projects are driven by formal academic researchers and large-scale organizations, a goal of this project is to build a research platform where small to medium scale community based organizations can set the research agenda and explore the different questions and aims they pursue.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

本研究旨在提高公民科学图像分析中的个人参与，保留和重复参与。提高公民科学的参与度可以加快解决问题和发现问题的步伐，让更多的人做出贡献，扩大参与，并为那些原本可能没有参与的社区提供新的参与途径。 该项目旨在通过将参与者与提出项目的组织联系起来，并鼓励参与者重新参与和合作，为对区域复原力至关重要的较小的区域非营利组织提供服务和建立这些组织。 它将开发和部署一个开源网络平台和工具包，用于创建参与公民科学项目。 具有推动作用的应用是救灾，随着灾害的频率和严重程度不断增加，救灾有可能产生更广泛的影响。然而，一般的方法可以更广泛地应用于公民科学，众包，人类计算和人机交互社区。 首先，它将开发自动改进在线公民科学项目的入职流程的技术。这将有助于了解早期任务对长期参与此类项目的影响。 第二，它旨在开发一个参与者脱离的模型，可用于指导干预措施，动态调整个人参与者。这些干预措施将在多种任务类型、有限的参与者历史和工作流程中的相关转移的背景下进行检查。 第三，虽然大多数众包公民科学项目是由正式的学术研究人员和大型组织推动的，该项目的一个目标是建立一个研究平台，使中小规模的社区组织可以设置研究议程，探索他们追求的不同问题和目标。该奖项反映了NSF的法定使命，并通过使用基金会的知识产权进行评估，被认为值得支持。优点和更广泛的影响审查标准。

项目成果

Performance of Paid and Volunteer Image Labeling in Citizen Science — A Retrospective Analysis

付费和志愿者图像标签在公民科学中的表现——回顾性分析

• DOI: 10.1609/hcomp.v10i1.21988
• 发表时间: 2022
• 期刊: Proceedings of the AAAI Conference on Human Computation and Crowdsourcing
• 作者: Gandhi, Kutub;Spatharioti, Sofia Eleni;Eustis, Scott;Wylie, Sara;Cooper, Seth
• 通讯作者: Cooper, Seth

Tile-o-Scope AR: An Augmented Reality Tabletop Image Labeling Game Toolkit

Tile-o-Scope AR：增强现实桌面图像标签游戏工具包

• DOI: 10.1145/3402942.3403002
• 发表时间: 2020
• 期刊: International Conference on the Foundations of Digital Games
• 作者: Spatharioti, Sofia Eleni;Fatehi, Borna;Smith, Melanie;Rosenbloom, Avery;Miller, Josh Aaron;Seif El-Nasr, Magy;Wylie, Sara;Cooper, Seth
• 通讯作者: Cooper, Seth

An effective online platform for crowd classification of coastal wetland loss

滨海湿地损失人群分类的有效在线平台

• DOI: 10.1111/csp2.12844
• 发表时间: 2022
• 期刊: Conservation Science and Practice
• 影响因子: 3.1
• 作者: Spatharioti, Sofia Eleni;Boetsch, Eliza;Eustis, Scott;Gandhi, Kutub;Rota, Matt;Apte, Archana;Cooper, Seth;Wylie, Sara
• 通讯作者: Wylie, Sara

A Comparison of Augmented Reality and Browser Versions of a Citizen Science Game

公民科学游戏的增强现实和浏览器版本的比较

• 发表时间: 2021
• 期刊: Proceedings of the 16th International Conference on the Foundations of Digital Games
• 作者: Gandhi, Kutub;Miller, Josh Aaron;Spatharioti, Sofia Eleni;Apte, Archana;Fatehi, Borna;Wylie, Sara;Cooper, Seth
• 通讯作者: Cooper, Seth

Exploring Q-Learning for Adaptive Difficulty in a Tile-based Image Labeling Game

探索基于图块的图像标签游戏中自适应难度的 Q-Learning

• DOI: 10.1109/cog52621.2021.9619125
• 发表时间: 2021
• 期刊: 2021 IEEE Conference on Games (CoG
• 作者: Spatharioti, Sofia Eleni;Wylie, Sara;Cooper, Seth
• 通讯作者: Cooper, Seth