Evaluating the Understandability of Hybrid Process Model Representations Using Eye Tracking: First Insights

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Standard

Evaluating the Understandability of Hybrid Process Model Representations Using Eye Tracking : First Insights. / Abbad Andaloussi, Amine; Slaats, Tijs; Burattin, Andrea; Hildebrandt, Thomas T.; Weber, Barbara.

Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers. red. / Florian Daniel; Quan Z. Sheng; Hamid Motahari. Springer, 2019. s. 475-481 (Lecture Notes in Business Information Processing, Bind 342).

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Harvard

Abbad Andaloussi, A, Slaats, T, Burattin, A, Hildebrandt, TT & Weber, B 2019, Evaluating the Understandability of Hybrid Process Model Representations Using Eye Tracking: First Insights. i F Daniel, QZ Sheng & H Motahari (red), Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers. Springer, Lecture Notes in Business Information Processing, bind 342, s. 475-481, 16th International Conference on Business Process Management, BPM 2018, Sydney, Australien, 09/09/2018. https://doi.org/10.1007/978-3-030-11641-5_37

APA

Abbad Andaloussi, A., Slaats, T., Burattin, A., Hildebrandt, T. T., & Weber, B. (2019). Evaluating the Understandability of Hybrid Process Model Representations Using Eye Tracking: First Insights. I F. Daniel, Q. Z. Sheng, & H. Motahari (red.), Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers (s. 475-481). Springer. Lecture Notes in Business Information Processing Bind 342 https://doi.org/10.1007/978-3-030-11641-5_37

Vancouver

Abbad Andaloussi A, Slaats T, Burattin A, Hildebrandt TT, Weber B. Evaluating the Understandability of Hybrid Process Model Representations Using Eye Tracking: First Insights. I Daniel F, Sheng QZ, Motahari H, red., Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers. Springer. 2019. s. 475-481. (Lecture Notes in Business Information Processing, Bind 342). https://doi.org/10.1007/978-3-030-11641-5_37

Author

Abbad Andaloussi, Amine ; Slaats, Tijs ; Burattin, Andrea ; Hildebrandt, Thomas T. ; Weber, Barbara. / Evaluating the Understandability of Hybrid Process Model Representations Using Eye Tracking : First Insights. Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers. red. / Florian Daniel ; Quan Z. Sheng ; Hamid Motahari. Springer, 2019. s. 475-481 (Lecture Notes in Business Information Processing, Bind 342).

Bibtex

@inproceedings{07b88c6f0bc54c33a8d1c652a150cc33,
title = "Evaluating the Understandability of Hybrid Process Model Representations Using Eye Tracking: First Insights",
abstract = "The EcoKnow project strives to promote flexible case management systems in the public administration and empower end-users (i.e., case workers) to make sense of digitized models of the law. For this, a hybrid representation combining the declarative DCR notation with textual annotations depicting the law text and a simulation tool to simulate the execution of single process instances was proposed. This hybrid representation aims to overcome the notorious limitations of existing declarative notations in term of understandability. Using eye tracking, this paper investigates how users engage with the different artifacts of the hybrid representation.",
author = "{Abbad Andaloussi}, Amine and Tijs Slaats and Andrea Burattin and Hildebrandt, {Thomas T.} and Barbara Weber",
year = "2019",
doi = "10.1007/978-3-030-11641-5_37",
language = "English",
isbn = "9783030116408",
series = "Lecture Notes in Business Information Processing",
publisher = "Springer",
pages = "475--481",
editor = "Florian Daniel and Sheng, {Quan Z.} and Hamid Motahari",
booktitle = "Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers",
address = "Switzerland",
note = "16th International Conference on Business Process Management, BPM 2018 ; Conference date: 09-09-2018 Through 14-09-2018",

}

RIS

TY - GEN

T1 - Evaluating the Understandability of Hybrid Process Model Representations Using Eye Tracking

T2 - 16th International Conference on Business Process Management, BPM 2018

AU - Abbad Andaloussi, Amine

AU - Slaats, Tijs

AU - Burattin, Andrea

AU - Hildebrandt, Thomas T.

AU - Weber, Barbara

PY - 2019

Y1 - 2019

N2 - The EcoKnow project strives to promote flexible case management systems in the public administration and empower end-users (i.e., case workers) to make sense of digitized models of the law. For this, a hybrid representation combining the declarative DCR notation with textual annotations depicting the law text and a simulation tool to simulate the execution of single process instances was proposed. This hybrid representation aims to overcome the notorious limitations of existing declarative notations in term of understandability. Using eye tracking, this paper investigates how users engage with the different artifacts of the hybrid representation.

AB - The EcoKnow project strives to promote flexible case management systems in the public administration and empower end-users (i.e., case workers) to make sense of digitized models of the law. For this, a hybrid representation combining the declarative DCR notation with textual annotations depicting the law text and a simulation tool to simulate the execution of single process instances was proposed. This hybrid representation aims to overcome the notorious limitations of existing declarative notations in term of understandability. Using eye tracking, this paper investigates how users engage with the different artifacts of the hybrid representation.

U2 - 10.1007/978-3-030-11641-5_37

DO - 10.1007/978-3-030-11641-5_37

M3 - Article in proceedings

AN - SCOPUS:85061350833

SN - 9783030116408

T3 - Lecture Notes in Business Information Processing

SP - 475

EP - 481

BT - Business Process Management Workshops - BPM 2018 International Workshops, Revised Papers

A2 - Daniel, Florian

A2 - Sheng, Quan Z.

A2 - Motahari, Hamid

PB - Springer

Y2 - 9 September 2018 through 14 September 2018

ER -

ID: 214134255