research-article

Intuitive understanding of a modeling language

Authors:

Judith Michael,

Heinrich C. MayrAuthors Info & Claims

ACSW '17: Proceedings of the Australasian Computer Science Week Multiconference

Article No.: 35, Pages 1 - 10

https://doi.org/10.1145/3014812.3014849

Published: 31 January 2017 Publication History

Abstract

The Human Cognitive Modeling Language (HCM-L) was developed for the Ambient Assisted Living (AAL) domain with the goal, to be easily understandable by future users: doctors, caregivers and even end-users themselves, i.e. anybody who needs help for successfully performing an activity. HCM-L is a lean modeling language with only a few concepts. The graphical notation was created considering principles for designing cognitively effective visual notations. This paper presents studies which tested the intuitive understandability of models that are formulated using this language.

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Cited By

Müller KHamborg KStraatmann TSchumacher JKoßmann CTeuteberg FPöhler LSchaper NDepenbusch SSchüler TIzdebski KDeppen KNeyer Czu Venne W(2023)Sozio-digitale Innovation durch partizipative Prozessgestaltung im virtuellen RaumDigitalisierung der Arbeitswelt im Mittelstand 310.1007/978-3-662-67024-8_7(239-290)Online publication date: 4-Oct-2023
https://doi.org/10.1007/978-3-662-67024-8_7
Bork DRoelens B(2021)A technique for evaluating and improving the semantic transparency of modeling language notationsSoftware and Systems Modeling10.1007/s10270-021-00895-wOnline publication date: 15-Jun-2021
https://doi.org/10.1007/s10270-021-00895-w
Kuhar SPolančič G(2021)Conceptualization, measurement, and application of semantic transparency in visual notationsSoftware and Systems Modeling10.1007/s10270-021-00888-9Online publication date: 19-May-2021
https://doi.org/10.1007/s10270-021-00888-9
Show More Cited By

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Intuitive understanding of a modeling language

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cover image ACM Other conferences

ACSW '17: Proceedings of the Australasian Computer Science Week Multiconference

January 2017

615 pages

ISBN:9781450347686

DOI:10.1145/3014812

Copyright © 2017 ACM.

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Published: 31 January 2017

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Klaus Tschira Stiftung

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ACSW 2017

ACSW 2017: Australasian Computer Science Week 2017

January 30 - February 3, 2017

Geelong, Australia

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ACSW '17 Paper Acceptance Rate 78 of 156 submissions, 50%;

Overall Acceptance Rate 204 of 424 submissions, 48%

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Cited By

Müller KHamborg KStraatmann TSchumacher JKoßmann CTeuteberg FPöhler LSchaper NDepenbusch SSchüler TIzdebski KDeppen KNeyer Czu Venne W(2023)Sozio-digitale Innovation durch partizipative Prozessgestaltung im virtuellen RaumDigitalisierung der Arbeitswelt im Mittelstand 310.1007/978-3-662-67024-8_7(239-290)Online publication date: 4-Oct-2023
https://doi.org/10.1007/978-3-662-67024-8_7
Bork DRoelens B(2021)A technique for evaluating and improving the semantic transparency of modeling language notationsSoftware and Systems Modeling10.1007/s10270-021-00895-wOnline publication date: 15-Jun-2021
https://doi.org/10.1007/s10270-021-00895-w
Kuhar SPolančič G(2021)Conceptualization, measurement, and application of semantic transparency in visual notationsSoftware and Systems Modeling10.1007/s10270-021-00888-9Online publication date: 19-May-2021
https://doi.org/10.1007/s10270-021-00888-9
Bork DSchrüffer CKaragiannis D(2019)Intuitive Understanding of Domain-Specific Modeling Languages: Proposition and Application of an Evaluation TechniqueConceptual Modeling10.1007/978-3-030-33223-5_26(311-319)Online publication date: 15-Oct-2019
https://doi.org/10.1007/978-3-030-33223-5_26
Mayr HMichael JRanasinghe SShekhovtsov VSteinberger C(2017)Model Centered ArchitectureConceptual Modeling Perspectives10.1007/978-3-319-67271-7_7(85-104)Online publication date: 13-Oct-2017
https://doi.org/10.1007/978-3-319-67271-7_7

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