Workflow-aware attention tracking to enhance collaboration management

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• 作者：Shaokun Fan ; Lele Kang ; J. Leon Zhao
• 关键词：Attention tracking ; Collaboration management ; Workflow management system ; Meta ; model ; Accountability
• 刊名：Information Systems Frontiers
• 出版年：2015
• 出版时间：December 2015
• 年：2015
• 卷：17
• 期：6
• 页码：1253-1264
• 全文大小：426 KB
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• 作者单位：Shaokun Fan (1)
  Lele Kang (2)
  J. Leon Zhao (3)
  
  1. College of Business, West Texas A&M University, Russell Long Blvd, Canyon, TX, USA
  2. School of Information Management, Nanjing University, Nanjing, China
  3. Department of Information Systems, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, Hong Kong
  
• 刊物类别：Business and Economics
• 刊物主题：Economics
  Business Information Systems
  Management of Computing and Information Systems
  Systems Theory and Control
  Operation Research and Decision Theory
  
• 出版者：Springer Netherlands
• ISSN：1572-9419

文摘

Current Workflow Management Systems only capture the start time and end time of tasks and it is difficult for managers to track how much time is actually spent on a particular task if multiple tasks are performed concurrently. Thus, managers may have problems accurately arranging tasks and evaluating costs. In order to facilitate collaboration management in multitasking environments, we propose a workflow-aware attention tracking framework that integrates the concept of attention with workflow models. We first design the meta-model of workflow-aware attention tracking. We further derive seven rules for attention tracking in multitasking collaboration using Object Constraint Language. Based on the rules and meta-model, we develop a procedure for attention rule verification, and present an architecture for workflow-aware attention tracking systems. This research contributes to workflow management by adding attention awareness for collaboration management in multitasking environments. Keywords Attention tracking Collaboration management Workflow management system Meta-model Accountability