The Impact of Modularization on the Understandability of Declarative Process Models: A Research Model

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

  • Amine Abbad Andaloussi
  • Pnina Soffer
  • Slaats, Tijs
  • Andrea Burattin
  • Barbara Weber

Process models provide a blueprint for process execution and an indispensable tool for process management. Bearing in mind their trending use for requirement elicitation, communication and improvement of business processes, the need for understandable process models becomes a must. In this paper, we propose a research model to investigate the impact of modularization on the understandability of declarative process models. We design a controlled experiment supported by eye-tracking, electroencephalography (EEG) and galvanic skin response (GSR) to appraise the understandability of hierarchical process models through measures such as comprehension accuracy, response time, attention, cognitive load and cognitive integration.

OriginalsprogEngelsk
TitelInformation Systems and Neuroscience - NeuroIS Retreat 2020
RedaktørerFred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane B. Randolph, Thomas Fischer
Antal sider12
ForlagSpringer
Publikationsdato2020
Sider133-144
ISBN (Trykt)9783030600723
DOI
StatusUdgivet - 2020
BegivenhedVirtual conference NeuroIS Retreat, 2020 - Vienna, Østrig
Varighed: 2 jun. 20204 jun. 2020

Konference

KonferenceVirtual conference NeuroIS Retreat, 2020
LandØstrig
ByVienna
Periode02/06/202004/06/2020
NavnLecture Notes in Information Systems and Organisation
Vol/bind43
ISSN2195-4968

ID: 287004473