CHS: Small: Designing Collaborative and Transparent Work Information Systems

研究的进步使协同工作信息系统的创新成为可能，这些系统可以跟踪拼车等领域的员工和承包商。例如，在驾驶员登录到开始工作会话之后，乘车共享计算机跟踪汽车、客户和乘车位置。这样的系统可以准确地支付给司机，并创建在经理，司机和客户之间共享的工作历史。在许多其他工作领域，如家庭护理，交付，农场工作和儿童保育，透明的协作信息系统不存在，使工作环境开放不准确的补偿，工作要求或行为的冲突，甚至剥削。该项目将研究工人，雇主和管理人员对协作和共享报告的需求，以及创新技术创建此类系统的机会。该项目将导致对传统和新形式工作的工作信息合作的基本理解，这些工作目前缺乏准确和透明的工作时间，努力或业绩的衡量标准，而这些工作是薪酬的基础。 该项目需要在三个潜在的关键干预领域进行基础研究和应用开发：（1）能够对工人进行有关工人和雇主权利和责任的教育的技术;（2）能够为工人、雇主和管理人员收集共享工作数据，同时保护个人隐私和机密的系统，及（3）经验性评估，以评估成效及了解与工作有关的数据收集的潜在风险或不良间接后果。研究人员将主要在工作环境中对这些系统进行原型设计和测试，例如农场工作，保管工作和餐馆服务。该项目将使人们更好地了解技术的潜力，以帮助为工人创造更好的就业机会，并帮助管理人员和雇主创造反应迅速、透明和公平的商业和工作环境。

Research advances have enabled innovations in collaborative work information systems that can keep track of employees and contractors in domains such as ride sharing. For instance, after drivers login to begin a work session, riding sharing computers keep track of cars, customers, and ride locations. Such systems enable accurate payments to drivers and create work histories that are shared among managers, drivers, and clients. In many other work domains, such as home care, delivery, farm work, and child care, transparent collaborative information systems do not exist, leaving work environments open to inaccurate compensation, conflict over work requirements or behavior, or even exploitation. This project will examine the needs of workers, employers, and managers for collaborative and shared reporting, and opportunities for innovative technology to create such systems. The project will lead to fundamental understanding of collaboration in work information for traditional and new forms of work that currently lack accurate and transparent measures of the work hours, effort, or performance on which compensation is based. This project requires fundamental research and application development in three potential key intervention areas: (1) technologies to enable worker education concerning worker and employer rights and responsibilities; (2) systems that could collect shared work data for workers, employers, and managers while protecting individual privacy and confidentiality, and (3) empirical evaluations to assess effectiveness as well as understand potential risks or undesirable indirect consequences of work-related data collection. Researchers will prototype and test these systems mainly in work environments, such as farm work, custodial work, and restaurants services. The project will lead to a better understanding of the potential for technology to help create better jobs for workers, and aid managers and employers to create responsive, transparent, and equitable business and work environments.