HCC: Medium: Personalized information access for online deliberation systems

HCC：中：在线审议系统的个性化信息访问

• 批准号: 1302522
• 负责人: James Herbsleb
• 金额: $ 120万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-08-01 至 2018-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1302522&HistoricalAwards=false
• 关键词: HCC; Medium; Personalized; information; access

Online deliberation seeks to improve group decision making by accessing diverse expertise and experience, informing and marshaling evidence in a fruitful exchange of ideas. Successful deliberation environments can bring great benefits, such as broadening participation, tapping a greater range of knowledge, testing ideas against each other, and fostering appreciation of other views. However, for large and complex problem spaces that generate extensive discussion, it is difficult for would-be participants to find where they could best make a contribution, to understand how various contributions fit together, or to grasp the contingencies between needs and contributions. To address this problem, this project will develop and test a system that provides a personalized view of a large information space that reveals the shape and foci of contributions in a way that reflects the goals, expertise, and interests of each user. The system will allow participants to see how their goals and interests match current themes and to find groups of people and related sets of contributions that would be of interest. To do this, the research will integrate insights from sociolinguistics with state-of-the-art latent variable modeling techniques from the field of language technologies to extend prior work in the areas of perspective and stance modeling in order to identify the necessary structure in textual data to enable personalized information extraction, summarization, and presentation. The project includes archival data analysis to develop algorithms and data representations, experiments to test the value to users of various ways of representing topics and social networks, a staged series of deployments for formative and summative evaluation, and the development of tool architecture and user interfaces to support experimentation and deployment. Through these activities, the investigators will systematically explore the effects of design decisions on participation, navigability and the nature of the deliberation.

在线审议旨在通过访问不同的专业知识和经验，在富有成效的思想交流中提供信息和整理证据来改善群体决策。成功的审议环境可以带来巨大的好处，例如扩大参与，挖掘更广泛的知识，相互测试想法，并促进对其他观点的欣赏。然而，对于引起广泛讨论的大而复杂的问题空间，潜在的参与者很难找到他们最能做出贡献的地方，很难理解各种贡献如何组合在一起，也很难把握需求和贡献之间的偶然性。为了解决这个问题，该项目将开发和测试一个系统，该系统提供一个大型信息空间的个性化视图，以反映每个用户的目标，专业知识和兴趣的方式揭示贡献的形状和焦点。该系统将使参与者能够看到他们的目标和兴趣如何与当前的主题相匹配，并找到感兴趣的人群和相关的贡献集。为了做到这一点，该研究将整合社会语言学的见解与语言技术领域最先进的潜变量建模技术，以扩展先前在视角和立场建模领域的工作，以确定文本数据中的必要结构，从而实现个性化的信息提取，摘要和呈现。该项目包括档案数据分析，以开发算法和数据表示，实验，以测试用户的各种方式表示的主题和社交网络的价值，一个阶段性的一系列部署的形成和总结性评估，并开发工具架构和用户界面，以支持实验和部署。通过这些活动，研究人员将系统地探索设计决策对参与，可导航性和审议性质的影响。

项目成果

When Optimal Team Formation Is a Choice - Self-selection Versus Intelligent Team Formation Strategies in a Large Online Project-Based Course

• DOI: 10.1007/978-3-319-93843-1_38
• 发表时间: 2018-06
• 作者: Sreecharan Sankaranarayanan;Cameron Dashti;C. Bogart;Xu Wang;M. Sakr;C. Rosé

Effects of Situational Factors on Metaphor Detection in an Online Discussion Forum

情境因素对在线论坛中隐喻检测的影响

• 发表时间: 2015
• 期刊: Third Workshop on Metaphor in NLP
• 作者: Jang, Hyeju;Wen, Miaomiao;Rose, Carolyn
• 通讯作者: Rose, Carolyn

Using Productive Collaboration Bursts to Analyze Open Source Collaboration Effectiveness

使用高效协作爆发来分析开源协作有效性

• DOI: 10.1109/saner48275.2020.9054852
• 发表时间: 2020
• 期刊: IEEE SANER 2020
• 作者: Choudhary, Samridhi;Bogart, Christopher;Rose, Carolyn;Herbsleb, Jim
• 通讯作者: Herbsleb, Jim

Public Peer Review Motivates Higher Quality Feedback

公共同行评审激发更高质量的反馈

• 发表时间: 2018
• 期刊: International Conference of the Learning Sciences
• 作者: Wang, X.

Putting the Pieces Back Together Again: Contest Webs for Large-Scale Problem Solving

• DOI: 10.1145/2998181.2998343
• 发表时间: 2017-02
• 期刊: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing
• 作者: Thomas W. Malone;Jeffrey V. Nickerson;Robert Laubacher;Laur Hesse Fisher;Patrick M. De Boer;Yue Han;W. B. Towne