Leveraging Digital Trace Data to Investigate and Support Human-Centered Work Processes
Journal
Communications in Computer and Information Science
Type
conference paper
Date Issued
2024
Author(s)
Abstract
The ongoing digitization of processes in all domains of everyday life driven by IT systems shows great potential for process automation, analysis, and optimization. In the last decade process mining has advanced to an important and mature discipline of computer science research and has been widely adopted in industry. More recently,-acknowledging the huge potential of digital trace data to study processes-process science has been introduced as an interdisciplinary field studying how processes unfold over time. This paper discusses the potential that arises when using digital trace data not only in the context of highly automated processes but also to investigate humancentered (work) processes and elaborates on associated challenges. Examples range from the semi-automated storage and production processes in a smart factory to healthcare processes to process analysts performing process mining tasks and software engineers reading software artifacts like source code and process models.
Language
English
Keywords
Digital Trace Data
Process Science
Human-centered Work Processes
HSG Classification
contribution to scientific community
Refereed
Yes
Book title
International Conference on Evaluation of Novel Approaches to Software Engineering
Subject(s)
Division(s)
File(s)![Thumbnail Image]()
open.access
Name
ENASE__Leveraging_Digital_Trace_Data.pdf
Size
2.12 MB
Format
Adobe PDF
Checksum (MD5)
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