Attentional Characteristics of Anomaly Detection in Conceptual Modeling

Karl-David Boutin (), Pierre-Majorique Léger (), Christopher J. Davis (), Alan R. Hevner () and Élise Labonté-LeMoyne ()
Additional contact information
Karl-David Boutin: HEC Montréal
Pierre-Majorique Léger: HEC Montréal
Christopher J. Davis: University of South Florida
Alan R. Hevner: University of South Florida
Élise Labonté-LeMoyne: HEC Montréal

A chapter in Information Systems and Neuroscience, 2019, pp 57-63 from Springer

Abstract: Abstract We use eye tracking to better understand the attentional characteristics specific to successful error detection in conceptual models. This phase of our multi-step research project describes the visual comportments associated with successful semantic and syntactic error identification and diagnosis. We test our predictions, based on prior studies on visual attention in an error detection task, or studies comparing experts and non-experts in diverse tasks, in a controlled experiment where participants are tasked with detecting and diagnosing errors in 75 BPMN® models. The results suggest that successful error diagnostics are linked with shorter total view time and shorter fixation duration, with a significant difference between semantic and syntactic errors. By identifying the visual attention differences and tendencies associated with successful detection tasks and the investigation of semantic and syntactic errors, we highlight the non-polarity of the ‘scale’ of expertise and allow clear recommendations for curriculum development and training methods.

Keywords: Eye tracking; Conceptual modeling; Attentional characteristics (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnichp:978-3-030-01087-4_7

Ordering information: This item can be ordered from
http://www.springer.com/9783030010874

DOI: 10.1007/978-3-030-01087-4_7

Access Statistics for this chapter

More chapters in Lecture Notes in Information Systems and Organization from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().