Workflow-aware attention tracking to enhance collaboration management

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal

2 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)1253-1264
Journal / PublicationInformation Systems Frontiers
Volume17
Issue number6
StatePublished - 1 Dec 2015

Abstract

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.

Research Area(s)

  • Accountability, Attention tracking, Collaboration management, Meta-model, Workflow management system

Citation Format(s)

Workflow-aware attention tracking to enhance collaboration management. / Fan, Shaokun; Kang, Lele; Zhao, J. Leon.

In: Information Systems Frontiers, Vol. 17, No. 6, 01.12.2015, p. 1253-1264.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journal