CAREER: Leveraging Personal Digital Appliances to Support Informal Collaboration

职业：利用个人数字设备支持非正式协作

• 批准号: 0092971
• 负责人: Elizabeth Mynatt
• 金额: $ 30万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-04-15 至 2006-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0092971&HistoricalAwards=false
• 关键词: CAREER; Leveraging; Personal; Digital; Appliances

This project investigates how informal collaboration in the workplace can be supported by calendar information available via personal digital appliances. The goal is to retain the flexibility and individual usability of personal devices while also enabling collaborative sharing of data, such as schedule and location information. However, the leap from personal use to group collaboration is not trivial, as individuals must assess what information they are willing to share, how they currently use that information, and how they value the benefits of collaboration. To explore these issues, the research will use probabilistic reasoning techniques to ascertain the likelihood of finding a colleague at a scheduled event. The system will analyze and distribute personal calendar information to faculty, staff and students at the PI's institution. Different visualization techniques offer trade-offs among precision, privacy, self-explanation, aggregation and effort in obtaining information. By analyzing the feasibility, adoption, use and social norms formed in response to these new capabilities, we contribute to the growing interest in informal collaboration, interfaces for serendipitous information, and the use of Bayesian networks.

该项目研究了如何通过个人数字设备提供的日历信息来支持工作场所中的非正式协作。目标是保留个人设备的灵活性和个人可用性，同时实现数据的协作共享，例如日程和位置信息。然而，从个人使用到团队协作的飞跃并非微不足道，因为个人必须评估他们愿意共享哪些信息、他们当前如何使用这些信息以及他们如何评价协作的好处。为了探索这些问题，该研究将使用概率推理技术来确定在预定活动中找到同事的可能性。该系统将分析个人日历信息并将其分发给 PI 所在机构的教职员工和学生。不同的可视化技术在精度、隐私、自我解释、聚合和获取信息的努力之间进行权衡。通过分析针对这些新功能而形成的可行性、采用、使用和社会规范，我们为人们对非正式协作、偶然信息的接口以及贝叶斯网络的使用日益增长的兴趣做出了贡献。