caa a22 4500 606228764 CHVBK 20210128101205.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s10796-015-9565-2 doi (NATIONALLICENCE)springer-10.1007/s10796-015-9565-2 Workflow-aware attention tracking to enhance collaboration management [Elektronische Daten] [Shaokun Fan, Lele Kang, J. Zhao] 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. Springer Science+Business Media New York, 2015 Attention tracking nationallicence Collaboration management nationallicence Workflow management system nationallicence Meta-model nationallicence Accountability nationallicence Fan Shaokun College of Business, West Texas A&M University, Russell Long Blvd, Canyon, TX, USA aut Kang Lele School of Information Management, Nanjing University, Nanjing, China aut Zhao J. Department of Information Systems, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, Hong Kong aut Information Systems Frontiers Springer US; http://www.springer-ny.com 17/6(2015-12-01), 1253-1264 1387-3326 17:6<1253 2015 17 10796 https://doi.org/10.1007/s10796-015-9565-2 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10796-015-9565-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Fan Shaokun College of Business, West Texas A&M University, Russell Long Blvd, Canyon, TX, USA aut NATIONALLICENCE 700 1- Kang Lele School of Information Management, Nanjing University, Nanjing, China aut NATIONALLICENCE 700 1- Zhao J. Department of Information Systems, City University of Hong Kong, Tat Chee Avenue, Kowloon Tong, Hong Kong aut NATIONALLICENCE 773 0- Information Systems Frontiers Springer US; http://www.springer-ny.com 17/6(2015-12-01), 1253-1264 1387-3326 17:6<1253 2015 17 10796