Abstract
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.
Originalsprog | Engelsk |
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Titel | Information Systems and Neuroscience - NeuroIS Retreat 2020 |
Redaktører | Fred D. Davis, René Riedl, Jan vom Brocke, Pierre-Majorique Léger, Adriane B. Randolph, Thomas Fischer |
Antal sider | 12 |
Forlag | Springer |
Publikationsdato | 2020 |
Sider | 133-144 |
ISBN (Trykt) | 9783030600723 |
DOI | |
Status | Udgivet - 2020 |
Begivenhed | Virtual conference NeuroIS Retreat, 2020 - Vienna, Østrig Varighed: 2 jun. 2020 → 4 jun. 2020 |
Konference
Konference | Virtual conference NeuroIS Retreat, 2020 |
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Land/Område | Østrig |
By | Vienna |
Periode | 02/06/2020 → 04/06/2020 |
Navn | Lecture Notes in Information Systems and Organisation |
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Vol/bind | 43 |
ISSN | 2195-4968 |
Bibliografisk note
Publisher Copyright:© 2020, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.