Using GeoTemporal Social Matching to Support Community

使用地理时态社交匹配来支持社区

• 批准号: 0534520
• 负责人: Quentin Jones
• 金额: --
• 依托单位: New Jersey Institute of Technology
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-11-01 至 2010-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0534520&HistoricalAwards=false
• 关键词: Using; GeoTemporal; Social; Matching; Support

This project concerns a new class of location-aware information systems that link People-to-People-to-geographical-Places (P3-Systems), based on technologies that can locate individuals as they go about their daily activities, including the near ubiquitous mobile phone. Specifically, the research will explore how P3-Systems can strengthen community by helping individuals leverage location information to make new social ties and to coordinate better the interactions with colleagues, friends, and family to reinforce existing social ties. To achieve this goal, the project will work towards gaining an understanding of how to 1) capture and utilize geotemporal histories to identify social matches, 2) provide users with trustworthy face-to-face introduction tools and 3) provide geotemporally relevant introductions and social reminder alerts that do not overly interrupt the users or invade their privacy. Unfortunately, knowledge in regards to each of these key issues is lacking. We do not know how to effectively manage the capture of personal geotemporal histories from mobile networks of heterogeneous devices in order to compute social matches that take into account place types, recurring patterns of co-location, and place-linked roles. Nor do we have a basic understanding of how to effectively enable face-to-face introductions between users while simultaneously ensuring appropriate exchange and control of personal identity data. Important questions in regards to identity exchange to be examined include: In what order and at what rate should basic demographic details be transferred between users? How is the revelation of identity data affected by situational variables such as place, time and social company? How can the process be tied to social networks in terms of reputation and trust?These key issues will be studied intensively using the New Jersey Institute of Technology's (NJIT) NSF supported SmartCampus location-aware community system test-bed. The SmartCampus test-bed will provide hundreds of students with heterogeneous wireless, locatable, lightweight, mobile, computing devices and deploy a variety of P3- Systems. A key SmartCampus P3-System that will be used to support this research is CampusMesh, a location-aware geotemporal social matching and reminding system. Multiple research methods will be employed, ranging from laboratory studies of how "strangers" engage in identity revelations, through usability studies of various software prototypes on different types of devices, through large scale field trials on the NJIT campus that will include user surveys and longitudinal monitoring of who-to-whom network traffic to identify changes in social networks. In the final year, field trials in one or more corporate locations will assess the generalizability of the findings. These studies of using P3-Systems to build and sustain community will directly result in: the development of design guidelines and theoretical frameworks that will inform system developers and HCI/CSCW researchers; empirical findings that will inform social scientists concerned with 'introductory communication' and the relationship between measurable affinities and the potential for growing social ties; and a variety of novel software applications.This project will support several educational goals. First, the system developed will be field tested at NJIT, by the NJIT community. NJIT is a leader in minority education, and the city has a large minority population. Thus, the benefits of the technology to be developed will accrue to a population with fewer resources and more limited opportunities than the U.S. as a whole. Second, the project will provide excellent training and learning opportunities for numerous students through: courses in Human-Computer Interaction, Computer Supported Cooperative Work, Research Methods, Sensor Networks, and Pervasive Computing where students will work together in team projects that will either use CampusMesh and other SmartCampus applications or be directly involved in its research and development. Research assistants will participate in research using leading-edge technology, where they will learn a diverse set of empirical research methods. Finally, the research outlined will result in the creation of a technology rich, friendly, and welcoming campus experience for the NJIT student population.In the early 20th century, people often came together face-to-face to make new acquaintances and to form voluntary associations such as social clubs, professional societies, and religious institutions that supported civil society. In subsequent decades the frequency of individual participation in these traditional associations and face-to-face meetings has declined along with associated measures of local social ties and social capital. P3-Systems offer one path to developing geographically concentrated social capital by enhancing community cohesion and by helping people to meet each other and coordinate their actions. To the extent that this research leads to effective, usable and trustworthy P3-Systems, it moves us closer to realizing this potential. The project will also benefit the research community through the release of usage data from the field trials (in a form that preserves privacy) and CampusMesh system software. Finally, the novel geotemporal matching algorithms and privacy mechanisms developed for this class of systems, and understanding of determinants of use of such systems, will be applicable in the military, government, and business sectors, as well as in academia.

该项目涉及一类新的位置感知信息系统，该系统将人与人与地理位置（P3系统）联系起来，其基础是可以在个人进行日常活动时定位个人的技术，包括几乎无处不在的移动的电话。具体而言，研究将探讨P3系统如何通过帮助个人利用位置信息建立新的社会关系，并更好地协调与同事、朋友和家人的互动来加强社区，以加强现有的社会关系。为了实现这一目标，该项目将努力了解如何1）捕获和利用地理时间历史来识别社交匹配，2）为用户提供值得信赖的面对面介绍工具，3）提供地理时间相关的介绍和社交提醒警报，不会过度打断用户或侵犯他们的隐私。不幸的是，对这些关键问题中的每一个都缺乏了解。我们不知道如何有效地管理从异构设备的移动的网络的个人地理时空历史的捕获，以计算考虑到地点类型，共同定位的重复模式和地点链接的角色的社交匹配。我们也不知道如何在确保适当交换和控制个人身份数据的同时，有效地实现用户之间的面对面介绍。在身份交换方面需要审查的重要问题包括：在用户之间应以何种顺序和何种速度传送基本人口统计资料？身份数据的披露如何受到地点、时间和社交公司等情境变量的影响？这个过程如何在声誉和信任方面与社交网络联系在一起？这些关键问题将使用新泽西理工学院（NJIT）NSF支持的SmartCampus位置感知社区系统测试平台进行深入研究。SmartCampus测试平台将为数百名学生提供异构无线、可定位、轻量级、移动的计算设备，并部署各种P3系统。一个关键的SmartCampus P3系统，将被用来支持这项研究是CampusMesh，一个位置感知的地理时空社会匹配和提醒系统。将采用多种研究方法，从实验室研究“陌生人”如何参与身份披露，通过不同类型设备上的各种软件原型的可用性研究，通过NJIT校园的大规模现场试验，包括用户调查和谁对谁的网络流量的纵向监测，以确定社交网络的变化。在最后一年，在一个或多个公司地点进行的实地试验将评估研究结果的普遍性。这些使用P3系统来建立和维持社区的研究将直接导致：设计指南和理论框架的发展，这将通知系统开发人员和HCI/CSCW研究人员;经验研究结果，这将通知社会科学家关注的“介绍性沟通”和可测量的亲和力和增长的社会联系的潜力之间的关系;和各种新颖的软件应用程序。这个项目将支持几个教育目标。首先，开发的系统将在NJIT进行现场测试，由NJIT社区进行测试。NJIT是少数民族教育的领导者，该市有大量的少数民族人口。因此，与整个美国相比，将开发的技术的好处将累积到资源更少、机会更有限的人口中。其次，该项目将通过以下课程为众多学生提供极好的培训和学习机会：人机交互，计算机支持的协同工作，研究方法，传感器网络和普适计算，学生将在团队项目中一起工作，这些项目将使用CampusMesh和其他SmartCampus应用程序或直接参与其研究和开发。研究助理将参与使用前沿技术的研究，在那里他们将学习一套不同的实证研究方法。最后，研究概述将导致创造一个技术丰富，友好，并欢迎校园的经验，为NJIT的学生群体。在世纪初，人们经常走到一起面对面结识新朋友，并形成自愿协会，如社会俱乐部，专业协会，和宗教机构，支持公民社会。在随后的几十年里，个人参加这些传统协会和面对面会议的频率沿着下降，当地的社会联系和社会资本也随之下降。P3系统提供了一条发展地理上集中的社会资本的途径，它增强了社区的凝聚力，帮助人们相互见面并协调他们的行动。在某种程度上，这项研究导致有效的，可用的和值得信赖的P3系统，它使我们更接近实现这一潜力。该项目还将通过发布实地试验的使用数据（以保护隐私的形式）和CampusMesh系统软件使研究界受益。最后，新的geotemporal匹配算法和隐私机制开发的这类系统，并了解使用这种系统的决定因素，将适用于军事，政府和商业部门，以及在学术界。