Ingo Timm - Academia.edu (original) (raw)
Papers by Ingo Timm
HMD. Praxis der Wirtschaftsinformatik, Sep 5, 2022
Zusammenfassung Plant eine Organisation ein neues IT-System, mit dem es personenbezogene Daten ih... more Zusammenfassung Plant eine Organisation ein neues IT-System, mit dem es personenbezogene Daten ihrer Kunden oder Mitarbeiter verarbeiten möchte, so stellt es den Planer des IT-Systems häufig vor große Herausforderungen, die Entwicklung und Inbetriebnahme des neuen IT-Systems unter Beachtung der einschlägigen datenschutzrechtlichen Anforderungen umzusetzen. Häufigster Hemmschuh für eine datenschutzkonforme Entwicklung und Inbetriebnahme eines neuen IT-Systems sind einerseits fehlende Fachkenntnisse zu datenschutzrechtlichen Rahmenbedingungen-insbesondere die datenschutzrechtlichen Anforderungen, die sich aus der Datenschutz-Grundverordnung ergeben und die entsprechend des darin verankerten risikobasierten Ansatzes angemessen umzusetzen sind-sowie andererseits fehlende Erfahrungen zur Gestaltung der Umsetzung dieser Anforderungen, auch hinsichtlich der Einbindung von Funktionsträgern innerhalb der Organisation seitens des Planers des IT-Systems. Der vorliegende Aufsatz möchte vor diesem Hintergrund einen Beitrag dazu leisten, Planern von IT-Systemen die wichtigsten einschlägigen Datenschutzanforderungen aufzuzeigen sowie Empfehlungen zur Umsetzung dieser Anforderungen zu geben. Schlüsselwörter Angemessenheit • Anonymität • Datenschutz • Datenschutz-Grundverordnung (DSGVO) • Personenbezogene Daten • Technische und organisatorische Schutzmaßnahmen Der Beitrag gibt die persönliche Meinung der Autoren wieder.
Lecture Notes in Computer Science, Sep 19, 2008
Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC), Dec 1, 2012
Discrete-event simulation has been established as an important methodology in various domains. In... more Discrete-event simulation has been established as an important methodology in various domains. In particular in the automotive industry, simulation is used to plan, control, and monitor processes including the flow of material and information. Procedure models help to perform simulation studies in a structured way and tools for data preparation or statistical analysis provide assistance in some phases of simulation studies. However, there is no comprehensive data assistance following all phases of such procedure models. In this article, a new approach combining assistance functionalities for input and output data analysis is presented. The developed tool-EDASim-focuses on supporting the user in selection, validation, and preparation of input data as well as to assist the analysis of output data. The proposed methods have been implemented and initial evaluations of the concepts have led to promising feedback from practitioners.
Ki - Künstliche Intelligenz, Dec 11, 2018
Winter Simulation Conference, Dec 6, 2015
Technological innovation and requirements of modern production are leading to a significant trans... more Technological innovation and requirements of modern production are leading to a significant transformation of logistics. Cyber-physical systems are introduced as an integrating concept for improving information flow from execution to decision systems and vice versa. Accompanied by decision and information systems with an increasing degree of autonomy, new challenges arise in modelling and implementing autonomous logistics, i.e., Logistics 4.0. Thus, sophisticated simulation approaches are required, capable of representing both: material flow and automation systems as well as autonomous software systems and human actors. This paper aims at discussing two integrating approaches to simulate decision makers and logistic processes in the context of Logistics 4.0.
Winter Simulation Conference, Dec 6, 2015
Timm and Lorig 2 EVOLUTION OF COMPUTER SIMULATION Almost 70 years ago, the foundation for compute... more Timm and Lorig 2 EVOLUTION OF COMPUTER SIMULATION Almost 70 years ago, the foundation for computer simulation has been laid. Back then the invention of ENIAC (a "general purpose electronic computing machine" (Goldstine and Goldstine 1946) developed for calculating fire tables during World War II) enabled scientists to automatically execute mathematical computations for solving numerical problems (Ulam 1990). Since then, hardware for executing simulation experiments has been enhanced and the application areas expanded. Nowadays, computer simulation is applied in various disciplines and has become an essential technique in scientific research. By observing and adjusting simulation models, hypotheses concerning the behavior of artificial systems can be evaluated and the impacts of modifying real systems can be estimated ex ante (Banks 1998). However, findings made by analyzing artificial systems are often used for drawing conclusions in regard to the real world. Especially in the context of investment decisions, simulation is frequently used for purposes of planning alternative approaches. Common areas of application are, for example, factory planning including materialflow simulation (e.g. Kühn 2006) or traffic simulation when building new road networks or redesigning traffic junctions (e.g. Lattner et al. 2011). Therefore, the necessity of general conditions and guidelines for assuring a certain level of quality is obvious. Reliable results can only be generated if the preparation and execution of simulation experiments are conducted under well-defined or even standardized conditions. Only in this case, results may be used as a profound basis for decision-making or as an origin for further research. Since the beginnings of simulation research, numerous articles have been published discussing the classification and application of the technology. In this regard, various approaches describing conditions for conducting simulation studies have been proposed as well. Furthermore, the definition of the term computer simulation itself is varying in literature. Humphreys compared partially opposing definitions and derived the following definition: "A computer simulation is any computer-implemented method for exploring the properties of mathematical models where analytic methods are unavailable." (Humphreys 1990) In contrast, Banks developed another commonly used definition of the term computer simulation: "A simulation is the imitation of the operation of a real-world process or system over time." (Banks 1996) The definitions mentioned above emphasize the ambiguity in the understanding of the technology. Computer simulation can either be regarded as a method (e.g. for the generation of knowledge (Ören 1987)) or a tool (e.g. for generating artificial scenarios by imitating real systems (Reynolds 2008)). Yet, when performing simulation experiments, most of the authors do not seem to be aware of this fundamental methodological uncertainty. Accordingly, a proper application of computer simulation is difficult.
VS Verlag für Sozialwissenschaften eBooks, Oct 28, 2007
Konflikt-Situationen werden in soziologischen, wirtschaftswissenschaftlichen, psychologischen sow... more Konflikt-Situationen werden in soziologischen, wirtschaftswissenschaftlichen, psychologischen sowie selbst in naturwissenschaftlichen Kontexten in ihrer Doppelrolle als Blockaden, aber auch als Attraktoren der Emergenz komplexer Systeme untersucht. Nicht zuletzt deshalb sind Konflikte auch im Bereich der Forschungen zur Künstlichen Intelligenz (KI) Ausgangspunkte für diverse Forschungsansätze. Insbesondere die Auflösung von Konflikten und das Konfliktmanagement spielen eine wichtige Rolle in Teilgebieten der KI wie Expertensystemen, Konfigurationssystemen, Planungsverfahren, Design, Wissensakquisition undrepräsentation, Verarbeitung natürlicher Sprachen, Spieltheorie, Computerunterstützte kooperative Arbeit (CSCW), Concurrent Engineering, Human-Computer-Interface (HCI) und VKI (vgl. Müller 1996: 1). Vor allem die Theorie der Multiagentensysteme (MAS) befasst sich als ein wichtiges Teilgebiet der Verteilten Künstlichen Intelligenz (VKI) mit dem Thema Konflikt. Während bei reaktiven Systemen die Koordination durch den Entwickler explizit geplant wird, kann sich die Koordination in Systemen autonomer Agenten entweder durch Kooperation oder durch nicht kooperatives Verhalten rationaler, egoistischer, also ihren eigenen Zielen folgender Agenten ergeben. Die Methoden des Konfliktmanagements unterscheiden sich bei diesen Ansätzen sehr grundsätzlich voneinander. Bei reaktiven Systemen müssen die Konflikte durch den Entwickler berücksichtigt werden. Deswegen wird ihre Bearbeitung in der Regel vorab festgelegt. Das emergente Verhalten ergibt sich hier bereits aus der eigennützigen Verfolgung der jeweiligen Ziele, auch wenn sie konfligieren. Dieser Effekt ist ein wichtiger Grund für die Relevanz der Methode der agentenbasierten Modellierung (agent-based modeling) nicht nur zur Entwicklung komplexer, neuen Anforderungen gerecht werdender MAS, sondern auch als Methode der soziologischen Forschung im Kontext von Sozialsimulationen (vgl. Axelrod, 1997; Lüde et al., 2003; Hillebrandt et al. 2004). Denn wenn Konflikte zur Laufzeit eines MAS entstehen und bewältigt werden müssen, kommt es auf die sozialen Mechanismen an, die diese Bewältigung ermöglichen. Eine soziologisch inspirierte Modellbildung zur Entwicklung entspreche nder MAS kann dazu beitragen, soziale Mechanismen der Konfliktlösung mit Hilfe von Experimenten der Sozialsimulation verstehbar zu machen, um diesbezügliche soziale Prozesse zu erklären. Deshalb firmieren in dem technischen System, das wir im Folgenden beschreiben und untersuchen werden, Konflikte als expliziter Bestandteil der Systemanforderungen. Die einzelnen autonomen Agenten sind in der Lage Zielkonflikte aufzulösen, die sich durch widersprechende Ziele oder aus möglichen Widersprüchen mit Zielen der Agentenumgebung ergeben.
People often make irrational decisions. With digital nudging, decisions made in online environmen... more People often make irrational decisions. With digital nudging, decisions made in online environments can be guided beneficially by adapting design elements of the user-interface and thus the user's choice environment. To evaluate the effectiveness of different nudging methods, modeling and simulation can be used. In this paper, we make a step towards preplanning of experiments to analyze nudging methods via simulation. To this end, we provide a model that replicates human behavior based on an experiment, that addresses gaming behavior in a digital environment. In a second step, the model is extended using several nudging methods in order to adapt the gamers' decision-making. Experiments are presented that outline the model's capability to produce plausible results concerning human gaming behavior as well as the effects of nudging methods on decision-making.
Lecture notes in information systems and organisation, Nov 17, 2017
We discuss the concept of stationarity as a precondition of pupillary-based assessments of a user... more We discuss the concept of stationarity as a precondition of pupillary-based assessments of a user’s mental workload and report results from an experiment differentiating stationarity and non-stationarity pupillary size signals.
HMD Praxis der Wirtschaftsinformatik
ZusammenfassungPlant eine Organisation ein neues IT-System, mit dem es personenbezogene Daten ihr... more ZusammenfassungPlant eine Organisation ein neues IT-System, mit dem es personenbezogene Daten ihrer Kunden oder Mitarbeiter verarbeiten möchte, so stellt es den Planer des IT-Systems häufig vor große Herausforderungen, die Entwicklung und Inbetriebnahme des neuen IT-Systems unter Beachtung der einschlägigen datenschutzrechtlichen Anforderungen umzusetzen. Häufigster Hemmschuh für eine datenschutzkonforme Entwicklung und Inbetriebnahme eines neuen IT-Systems sind einerseits fehlende Fachkenntnisse zu datenschutzrechtlichen Rahmenbedingungen – insbesondere die datenschutzrechtlichen Anforderungen, die sich aus der Datenschutz-Grundverordnung ergeben und die entsprechend des darin verankerten risikobasierten Ansatzes angemessen umzusetzen sind – sowie andererseits fehlende Erfahrungen zur Gestaltung der Umsetzung dieser Anforderungen, auch hinsichtlich der Einbindung von Funktionsträgern innerhalb der Organisation seitens des Planers des IT-Systems. Der vorliegende Aufsatz möchte vor d...
Zenodo (CERN European Organization for Nuclear Research), Sep 29, 2022
Datenschutz und Datensicherheit - DuD
IxD&A, 2016
The transformation of socio-ecological systems (SES) has accelerated and is driven by a broad ran... more The transformation of socio-ecological systems (SES) has accelerated and is driven by a broad range of factors. Consequently, providing resilience in SES became more challenging, as the drivers are influenced by complex interactions between the social actors (i.e., consumers, producers, and influencers of ecosystem services) and their interactions with the ecosystem itself. As the entire society is affected by landscape changes and lasting damage of ecosystems resulting from the interplay of different drivers, a better public understanding of the transformation processes needs to be achieved. Because dynamics of SES are the result of emergent effects caused by complex local interactions of the actors, the comprehensibility is restricted and public communication is challenging. This work aims at making dynamics of SES experienceable by using an agent-based simulation approach as serious game. By modeling the actors as intelligent software agents, differentiated decision-making and individual goals can be implemented and transformation processes can be simulated.
Lecture Notes in Computer Science, 2019
Ensuring sustainable care-giving systems with a focus on human needs and desires is a major chall... more Ensuring sustainable care-giving systems with a focus on human needs and desires is a major challenge. An increasing demand in home health care as well as a limited number of professionals in the labor market have led to a call for efficiency. Thus, managing existing resources has gained relevance. The overall goal is high quality care services, while ensuring economic viability. At the same time, there is a need for modern customer-friendly solutions as well as the consideration of employees’ preferences. To achieve this, adequate methods are needed that take current and future developments into account. Operational management processes in terms of planning and scheduling can be supported by multiagent systems as well as decision support systems using agent-based simulation. The aim of this work is to provide an overview of these solutions in the domain of home health care systems. To this end, we conducted a systematic literature review in which 11 relevant approaches were identified. In addition, these publications were analyzed to identify deficiencies and compared to each other. Because none of the approaches offers a sufficient solution, future work will focus on dynamic distributed scheduling for the control of operational processes which increases efficiency and improves the use of limited resources.
Immissionsschutz, May 26, 2014
Palaeogeography, Palaeoclimatology, Palaeoecology, 2022
The Out-of-Africa-Theory, as a model of the early migration of anatomically modern humans, descri... more The Out-of-Africa-Theory, as a model of the early migration of anatomically modern humans, describes Africa as geographical source of dispersal processes to Eurasia. However, there is no scientific consensus on the reason or the exact route of the migration. In this paper key challenges for modeling hominin biogeography and expansion using agent-based approaches are being proposed.
2018 Winter Simulation Conference (WSC), 2018
Recent statistics predict an increasing demand for care services in elderly care as a result of d... more Recent statistics predict an increasing demand for care services in elderly care as a result of demographic change. To forecast the amount, location, and type of emerging care demand, existing approaches like Microsimulation must be revised. These approaches lack consideration of the fact that every decision for a specific type of care is dependent on the individual care recipient’s situation and personal preferences. To close this gap, it seems reasonable to extend existing Microsimulation approaches by means of Agent-based Social Simulation. The goal of this work is the development of an agent-based model, that enables the simulation of individual decision-making processes. The presented model is based on sociodemographic data to take systemic properties and individual situations into account. Additionally, sociological actor types are used to implement individual preferences and the characteristics of care recipients. To evaluate the proposed approach, a case study using German c...
The emergence of global networks also results in the occurrence of systemic risks that might affe... more The emergence of global networks also results in the occurrence of systemic risks that might affect the stability of the overall system. To cope with these risks, this workshop on the “Control of Systemic Risks in Global Networks” provides a platform for the collection and discussion of innovative approaches, methods, and theories but also of practical problems from the areas of simulation, artificial intelligence, operations research, and statistics. This enables the exchange of experiences and methods between scientists and practitioners.
HMD. Praxis der Wirtschaftsinformatik, Sep 5, 2022
Zusammenfassung Plant eine Organisation ein neues IT-System, mit dem es personenbezogene Daten ih... more Zusammenfassung Plant eine Organisation ein neues IT-System, mit dem es personenbezogene Daten ihrer Kunden oder Mitarbeiter verarbeiten möchte, so stellt es den Planer des IT-Systems häufig vor große Herausforderungen, die Entwicklung und Inbetriebnahme des neuen IT-Systems unter Beachtung der einschlägigen datenschutzrechtlichen Anforderungen umzusetzen. Häufigster Hemmschuh für eine datenschutzkonforme Entwicklung und Inbetriebnahme eines neuen IT-Systems sind einerseits fehlende Fachkenntnisse zu datenschutzrechtlichen Rahmenbedingungen-insbesondere die datenschutzrechtlichen Anforderungen, die sich aus der Datenschutz-Grundverordnung ergeben und die entsprechend des darin verankerten risikobasierten Ansatzes angemessen umzusetzen sind-sowie andererseits fehlende Erfahrungen zur Gestaltung der Umsetzung dieser Anforderungen, auch hinsichtlich der Einbindung von Funktionsträgern innerhalb der Organisation seitens des Planers des IT-Systems. Der vorliegende Aufsatz möchte vor diesem Hintergrund einen Beitrag dazu leisten, Planern von IT-Systemen die wichtigsten einschlägigen Datenschutzanforderungen aufzuzeigen sowie Empfehlungen zur Umsetzung dieser Anforderungen zu geben. Schlüsselwörter Angemessenheit • Anonymität • Datenschutz • Datenschutz-Grundverordnung (DSGVO) • Personenbezogene Daten • Technische und organisatorische Schutzmaßnahmen Der Beitrag gibt die persönliche Meinung der Autoren wieder.
Lecture Notes in Computer Science, Sep 19, 2008
Proceedings Title: Proceedings of the 2012 Winter Simulation Conference (WSC), Dec 1, 2012
Discrete-event simulation has been established as an important methodology in various domains. In... more Discrete-event simulation has been established as an important methodology in various domains. In particular in the automotive industry, simulation is used to plan, control, and monitor processes including the flow of material and information. Procedure models help to perform simulation studies in a structured way and tools for data preparation or statistical analysis provide assistance in some phases of simulation studies. However, there is no comprehensive data assistance following all phases of such procedure models. In this article, a new approach combining assistance functionalities for input and output data analysis is presented. The developed tool-EDASim-focuses on supporting the user in selection, validation, and preparation of input data as well as to assist the analysis of output data. The proposed methods have been implemented and initial evaluations of the concepts have led to promising feedback from practitioners.
Ki - Künstliche Intelligenz, Dec 11, 2018
Winter Simulation Conference, Dec 6, 2015
Technological innovation and requirements of modern production are leading to a significant trans... more Technological innovation and requirements of modern production are leading to a significant transformation of logistics. Cyber-physical systems are introduced as an integrating concept for improving information flow from execution to decision systems and vice versa. Accompanied by decision and information systems with an increasing degree of autonomy, new challenges arise in modelling and implementing autonomous logistics, i.e., Logistics 4.0. Thus, sophisticated simulation approaches are required, capable of representing both: material flow and automation systems as well as autonomous software systems and human actors. This paper aims at discussing two integrating approaches to simulate decision makers and logistic processes in the context of Logistics 4.0.
Winter Simulation Conference, Dec 6, 2015
Timm and Lorig 2 EVOLUTION OF COMPUTER SIMULATION Almost 70 years ago, the foundation for compute... more Timm and Lorig 2 EVOLUTION OF COMPUTER SIMULATION Almost 70 years ago, the foundation for computer simulation has been laid. Back then the invention of ENIAC (a "general purpose electronic computing machine" (Goldstine and Goldstine 1946) developed for calculating fire tables during World War II) enabled scientists to automatically execute mathematical computations for solving numerical problems (Ulam 1990). Since then, hardware for executing simulation experiments has been enhanced and the application areas expanded. Nowadays, computer simulation is applied in various disciplines and has become an essential technique in scientific research. By observing and adjusting simulation models, hypotheses concerning the behavior of artificial systems can be evaluated and the impacts of modifying real systems can be estimated ex ante (Banks 1998). However, findings made by analyzing artificial systems are often used for drawing conclusions in regard to the real world. Especially in the context of investment decisions, simulation is frequently used for purposes of planning alternative approaches. Common areas of application are, for example, factory planning including materialflow simulation (e.g. Kühn 2006) or traffic simulation when building new road networks or redesigning traffic junctions (e.g. Lattner et al. 2011). Therefore, the necessity of general conditions and guidelines for assuring a certain level of quality is obvious. Reliable results can only be generated if the preparation and execution of simulation experiments are conducted under well-defined or even standardized conditions. Only in this case, results may be used as a profound basis for decision-making or as an origin for further research. Since the beginnings of simulation research, numerous articles have been published discussing the classification and application of the technology. In this regard, various approaches describing conditions for conducting simulation studies have been proposed as well. Furthermore, the definition of the term computer simulation itself is varying in literature. Humphreys compared partially opposing definitions and derived the following definition: "A computer simulation is any computer-implemented method for exploring the properties of mathematical models where analytic methods are unavailable." (Humphreys 1990) In contrast, Banks developed another commonly used definition of the term computer simulation: "A simulation is the imitation of the operation of a real-world process or system over time." (Banks 1996) The definitions mentioned above emphasize the ambiguity in the understanding of the technology. Computer simulation can either be regarded as a method (e.g. for the generation of knowledge (Ören 1987)) or a tool (e.g. for generating artificial scenarios by imitating real systems (Reynolds 2008)). Yet, when performing simulation experiments, most of the authors do not seem to be aware of this fundamental methodological uncertainty. Accordingly, a proper application of computer simulation is difficult.
VS Verlag für Sozialwissenschaften eBooks, Oct 28, 2007
Konflikt-Situationen werden in soziologischen, wirtschaftswissenschaftlichen, psychologischen sow... more Konflikt-Situationen werden in soziologischen, wirtschaftswissenschaftlichen, psychologischen sowie selbst in naturwissenschaftlichen Kontexten in ihrer Doppelrolle als Blockaden, aber auch als Attraktoren der Emergenz komplexer Systeme untersucht. Nicht zuletzt deshalb sind Konflikte auch im Bereich der Forschungen zur Künstlichen Intelligenz (KI) Ausgangspunkte für diverse Forschungsansätze. Insbesondere die Auflösung von Konflikten und das Konfliktmanagement spielen eine wichtige Rolle in Teilgebieten der KI wie Expertensystemen, Konfigurationssystemen, Planungsverfahren, Design, Wissensakquisition undrepräsentation, Verarbeitung natürlicher Sprachen, Spieltheorie, Computerunterstützte kooperative Arbeit (CSCW), Concurrent Engineering, Human-Computer-Interface (HCI) und VKI (vgl. Müller 1996: 1). Vor allem die Theorie der Multiagentensysteme (MAS) befasst sich als ein wichtiges Teilgebiet der Verteilten Künstlichen Intelligenz (VKI) mit dem Thema Konflikt. Während bei reaktiven Systemen die Koordination durch den Entwickler explizit geplant wird, kann sich die Koordination in Systemen autonomer Agenten entweder durch Kooperation oder durch nicht kooperatives Verhalten rationaler, egoistischer, also ihren eigenen Zielen folgender Agenten ergeben. Die Methoden des Konfliktmanagements unterscheiden sich bei diesen Ansätzen sehr grundsätzlich voneinander. Bei reaktiven Systemen müssen die Konflikte durch den Entwickler berücksichtigt werden. Deswegen wird ihre Bearbeitung in der Regel vorab festgelegt. Das emergente Verhalten ergibt sich hier bereits aus der eigennützigen Verfolgung der jeweiligen Ziele, auch wenn sie konfligieren. Dieser Effekt ist ein wichtiger Grund für die Relevanz der Methode der agentenbasierten Modellierung (agent-based modeling) nicht nur zur Entwicklung komplexer, neuen Anforderungen gerecht werdender MAS, sondern auch als Methode der soziologischen Forschung im Kontext von Sozialsimulationen (vgl. Axelrod, 1997; Lüde et al., 2003; Hillebrandt et al. 2004). Denn wenn Konflikte zur Laufzeit eines MAS entstehen und bewältigt werden müssen, kommt es auf die sozialen Mechanismen an, die diese Bewältigung ermöglichen. Eine soziologisch inspirierte Modellbildung zur Entwicklung entspreche nder MAS kann dazu beitragen, soziale Mechanismen der Konfliktlösung mit Hilfe von Experimenten der Sozialsimulation verstehbar zu machen, um diesbezügliche soziale Prozesse zu erklären. Deshalb firmieren in dem technischen System, das wir im Folgenden beschreiben und untersuchen werden, Konflikte als expliziter Bestandteil der Systemanforderungen. Die einzelnen autonomen Agenten sind in der Lage Zielkonflikte aufzulösen, die sich durch widersprechende Ziele oder aus möglichen Widersprüchen mit Zielen der Agentenumgebung ergeben.
People often make irrational decisions. With digital nudging, decisions made in online environmen... more People often make irrational decisions. With digital nudging, decisions made in online environments can be guided beneficially by adapting design elements of the user-interface and thus the user's choice environment. To evaluate the effectiveness of different nudging methods, modeling and simulation can be used. In this paper, we make a step towards preplanning of experiments to analyze nudging methods via simulation. To this end, we provide a model that replicates human behavior based on an experiment, that addresses gaming behavior in a digital environment. In a second step, the model is extended using several nudging methods in order to adapt the gamers' decision-making. Experiments are presented that outline the model's capability to produce plausible results concerning human gaming behavior as well as the effects of nudging methods on decision-making.
Lecture notes in information systems and organisation, Nov 17, 2017
We discuss the concept of stationarity as a precondition of pupillary-based assessments of a user... more We discuss the concept of stationarity as a precondition of pupillary-based assessments of a user’s mental workload and report results from an experiment differentiating stationarity and non-stationarity pupillary size signals.
HMD Praxis der Wirtschaftsinformatik
ZusammenfassungPlant eine Organisation ein neues IT-System, mit dem es personenbezogene Daten ihr... more ZusammenfassungPlant eine Organisation ein neues IT-System, mit dem es personenbezogene Daten ihrer Kunden oder Mitarbeiter verarbeiten möchte, so stellt es den Planer des IT-Systems häufig vor große Herausforderungen, die Entwicklung und Inbetriebnahme des neuen IT-Systems unter Beachtung der einschlägigen datenschutzrechtlichen Anforderungen umzusetzen. Häufigster Hemmschuh für eine datenschutzkonforme Entwicklung und Inbetriebnahme eines neuen IT-Systems sind einerseits fehlende Fachkenntnisse zu datenschutzrechtlichen Rahmenbedingungen – insbesondere die datenschutzrechtlichen Anforderungen, die sich aus der Datenschutz-Grundverordnung ergeben und die entsprechend des darin verankerten risikobasierten Ansatzes angemessen umzusetzen sind – sowie andererseits fehlende Erfahrungen zur Gestaltung der Umsetzung dieser Anforderungen, auch hinsichtlich der Einbindung von Funktionsträgern innerhalb der Organisation seitens des Planers des IT-Systems. Der vorliegende Aufsatz möchte vor d...
Zenodo (CERN European Organization for Nuclear Research), Sep 29, 2022
Datenschutz und Datensicherheit - DuD
IxD&A, 2016
The transformation of socio-ecological systems (SES) has accelerated and is driven by a broad ran... more The transformation of socio-ecological systems (SES) has accelerated and is driven by a broad range of factors. Consequently, providing resilience in SES became more challenging, as the drivers are influenced by complex interactions between the social actors (i.e., consumers, producers, and influencers of ecosystem services) and their interactions with the ecosystem itself. As the entire society is affected by landscape changes and lasting damage of ecosystems resulting from the interplay of different drivers, a better public understanding of the transformation processes needs to be achieved. Because dynamics of SES are the result of emergent effects caused by complex local interactions of the actors, the comprehensibility is restricted and public communication is challenging. This work aims at making dynamics of SES experienceable by using an agent-based simulation approach as serious game. By modeling the actors as intelligent software agents, differentiated decision-making and individual goals can be implemented and transformation processes can be simulated.
Lecture Notes in Computer Science, 2019
Ensuring sustainable care-giving systems with a focus on human needs and desires is a major chall... more Ensuring sustainable care-giving systems with a focus on human needs and desires is a major challenge. An increasing demand in home health care as well as a limited number of professionals in the labor market have led to a call for efficiency. Thus, managing existing resources has gained relevance. The overall goal is high quality care services, while ensuring economic viability. At the same time, there is a need for modern customer-friendly solutions as well as the consideration of employees’ preferences. To achieve this, adequate methods are needed that take current and future developments into account. Operational management processes in terms of planning and scheduling can be supported by multiagent systems as well as decision support systems using agent-based simulation. The aim of this work is to provide an overview of these solutions in the domain of home health care systems. To this end, we conducted a systematic literature review in which 11 relevant approaches were identified. In addition, these publications were analyzed to identify deficiencies and compared to each other. Because none of the approaches offers a sufficient solution, future work will focus on dynamic distributed scheduling for the control of operational processes which increases efficiency and improves the use of limited resources.
Immissionsschutz, May 26, 2014
Palaeogeography, Palaeoclimatology, Palaeoecology, 2022
The Out-of-Africa-Theory, as a model of the early migration of anatomically modern humans, descri... more The Out-of-Africa-Theory, as a model of the early migration of anatomically modern humans, describes Africa as geographical source of dispersal processes to Eurasia. However, there is no scientific consensus on the reason or the exact route of the migration. In this paper key challenges for modeling hominin biogeography and expansion using agent-based approaches are being proposed.
2018 Winter Simulation Conference (WSC), 2018
Recent statistics predict an increasing demand for care services in elderly care as a result of d... more Recent statistics predict an increasing demand for care services in elderly care as a result of demographic change. To forecast the amount, location, and type of emerging care demand, existing approaches like Microsimulation must be revised. These approaches lack consideration of the fact that every decision for a specific type of care is dependent on the individual care recipient’s situation and personal preferences. To close this gap, it seems reasonable to extend existing Microsimulation approaches by means of Agent-based Social Simulation. The goal of this work is the development of an agent-based model, that enables the simulation of individual decision-making processes. The presented model is based on sociodemographic data to take systemic properties and individual situations into account. Additionally, sociological actor types are used to implement individual preferences and the characteristics of care recipients. To evaluate the proposed approach, a case study using German c...
The emergence of global networks also results in the occurrence of systemic risks that might affe... more The emergence of global networks also results in the occurrence of systemic risks that might affect the stability of the overall system. To cope with these risks, this workshop on the “Control of Systemic Risks in Global Networks” provides a platform for the collection and discussion of innovative approaches, methods, and theories but also of practical problems from the areas of simulation, artificial intelligence, operations research, and statistics. This enables the exchange of experiences and methods between scientists and practitioners.