HCM-L: Domain-Specific Modeling for Active and Assisted Living

Mayr, Heinrich C.; Machot, Fadi Al; Michael, Judith; Morak, Gert; Ranasinghe, Suneth; Shekhovtsov, Vladimir A.; Steinberger, Claudia

doi:10.1007/978-3-319-39417-6_24

Cited by 14 publications

(3 citation statements)

References 24 publications

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“…Obviously, the tailoring of the method for the domain enables algorithms to take richer input from a model. Examples of domain-specific functionality are the digitalization of haptic models Muck and Palkovits-Rauter 2022, IoT simulation Choe and Lee 2016, robot controlling Morita and Yamaguchi 2022, assisted living support Mayr et al 2016, or the linking of stochastic diagrams for didactic use Döller and Götz 2022. AdoScript, the MM-DSL in the focus of this chapter, is the key enabler for building all these functionalities.…”

Section: Domain-specificity For Engineering Productivitymentioning

confidence: 99%

Informing Possible Future Worlds

2024

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For more than 35 years, Ulrich Frank has shaped Wirtschaftsinformatik as a scientific discipline through thoughtful and sophisticated research contributions and his numerous contributions to the scientific community.Informing Possible Future Worlds is the Festschrift in honour of Ulrich Frank on the occasion of his 65 th birthday. The Festschrift includes twenty-three essays written by friends, colleagues, and fellow researchers in recognition of Ulrich's contributions to Wirtschaftsinformatik research and the scientific community. Each essay is a personal and unique 'birthday present' to Ulrich Frank written exclusively for the Festschrift. From original research contributions to more personal reflections, the essays cover a wide range of topics, themes, and fields -just like Ulrich Frank's contributions.For more than 35 years, Ulrich Frank has shaped and promoted Wirtschaftsinformatik as a scientific discipline through his thoughtful and sophisticated research contributions and his numerous contributions to the scientific community. He has initiated, engaged in and promoted scientific discourse nationally and internationally, inspired, encouraged and guided young researchers, and played an outstanding part in the Wirtschaftsinformatik community.Starting with his Diplomarbeit in 1982 on 'Die Problematisierung von Zielbildungsprozessen in Unternehmungen durch die Betriebswirtschaftslehre unter besonderer Berücksichtigung des Verhältnisses von Wissenschaft und Praxis' (supervised by Erwin Grochla at the Universität zu Köln), Ulrich has cultivated his interest not only in Betriebswirtschaftslehre and Wirtschaftsinformatik, Software Engineering and Conceptual Modelling, but also in the Philosophy of Science, the Philosophy of Language, the Sociology of Knowledge and in Organisational Sociology. For his Diplomarbeit, he read Albert, Feyerabend, Mittelstrass, and Popper, among others, and reflected on organisational goal-setting ('Zielbildungsprozesse') from multiple, complementary perspectives -a lifelong leitmotiv he later incorporated in his Multi-Perspective Enterprise Modelling (MEMO) method.An avid reader and bibliophile, Ulrich must have learned about Niklas Luhmann, the German sociologist working at Universität Bielefeld, Ulrich's hometown, likely in his teens, and started his own personal discourse with Luhmann's writings, and from there on expanded his readings. At about the same time, Ulrich started to program computers, developed and sold his first software application, and, most importantly, discovered Smalltalk, the programming language created by Alan Kay and others at Xerox PARC's Learning Research Group -which has strongly influenced him to this day and which he has admired ever since.Following his discovery of Smalltalk, he took a deep dive into Object-Oriented Programming and Object-Oriented Modelling that took him to take a minor in Angewandte Informatik (Applied Informatics) at the Universität zu Köln during his graduate studies.vii His doctoral research with Alfred Kieser at Universität Mannheim ...

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Section: Domain-specificity For Engineering Productivitymentioning

confidence: 99%

Informing Possible Future Worlds

2024

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“…An evaluation technique for a DSML for ambient assistant living called Human Cognitive Modeling Language (HCM-L) [41] is presented in [43]. The technique is concerned with the intuitive understanding of a whole HCM-L model.…”

Section: Related Workmentioning

confidence: 99%

A technique for evaluating and improving the semantic transparency of modeling language notations

Bork

Roelens

2021

Softw Syst Model

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The notation of a modeling language is of paramount importance for its efficient use and the correct comprehension of created models. A graphical notation, especially for domain-specific modeling languages, should therefore be aligned to the knowledge, beliefs, and expectations of the targeted model users. One quality attributed to notations is their semantic transparency, indicating the extent to which a notation intuitively suggests its meaning to untrained users. Method engineers should thus aim at semantic transparency for realizing intuitively understandable notations. However, notation design is often treated poorly—if at all—in method engineering methodologies. This paper proposes a technique that, based on iterative evaluation and improvement tasks, steers the notation toward semantic transparency. The approach can be efficiently applied to arbitrary modeling languages and allows easy integration into existing modeling language engineering methodologies. We show the feasibility of the technique by reporting on two cycles of Action Design Research including the evaluation and improvement of the semantic transparency of the Process-Goal Alignment modeling language notation. An empirical evaluation comparing the new notation against the initial one shows the effectiveness of the technique.

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“…However, common to the usage of this notion in the various application domains is its refinement into granularity levels. An example of such refinement can be found in the activity theory 7,8 which assumes activities (e.g. “preparing coffee”) to be hierarchically structured into actions (e.g.…”

Section: Notion Of “Activity”mentioning

confidence: 99%

A review on applications of activity recognition systems with regard to performance and evaluation

Ranasinghe

Machot

Mayr

2016

International Journal of Distributed Sensor Networks

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178

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Activity recognition systems are a large field of research and development, currently with a focus on advanced machine learning algorithms, innovations in the field of hardware architecture, and on decreasing the costs of monitoring while increasing safety. This article concentrates on the applications of activity recognition systems and surveys their state of the art. We categorize such applications into active and assisted living systems for smart homes, healthcare monitoring applications, monitoring and surveillance systems for indoor and outdoor activities, and tele-immersion applications. Within these categories, the applications are classified according to the methodology used for recognizing human behavior, namely, based on visual, non-visual, and multimodal sensor technology. We provide an overview of these applications and discuss the advantages and limitations of each approach. Additionally, we illustrate public data sets that are designed for the evaluation of such recognition systems. The article concludes with a comparison of the existing methodologies which, when applied to real-world scenarios, allow to formulate research questions for future approaches.

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HCM-L: Domain-Specific Modeling for Active and Assisted Living

Cited by 14 publications

References 24 publications

Informing Possible Future Worlds

Informing Possible Future Worlds

A technique for evaluating and improving the semantic transparency of modeling language notations

A review on applications of activity recognition systems with regard to performance and evaluation

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