5 Search Results for "Vogel, Thomas"

Document
DOI: 10.4230/OASIcs.SpaceCHI.2025.27
Assessing the Use of Mixed Reality as a Valid Tool for Human-Robot Interaction Studies in the Context of Space Exploration

Authors: Enrico Guerra, Sebastian Thomas Büttner, Alper Beşer, and Michael Prilla

Published in: OASIcs, Volume 130, Advancing Human-Computer Interaction for Space Exploration (SpaceCHI 2025)

Abstract
Mixed Reality (MR) is a technology with strong potential for advancing research in Human-Robot Interaction (HRI) for space exploration. Apart from the efficiency and high flexibility MR can offer, we argue that its benefits for HRI research in space contexts lies particularly in its ability to aid human-in-the-loop development, offer realistic hybrid simulations, and foster broader participation in HRI research in the space exploration context. However, we believe that this is only plausible if MR-based simulations can yield comparable results to fully physical approaches in human-centred studies. In this position paper, we highlight several arguments in favour of MR as a tool for space HRI research, while emphasising the importance of the open question regarding its scientific validity. We believe MR could become a central tool for preparing for future human-robotic space exploration missions and significantly diversify research in this domain.
Cite as

Enrico Guerra, Sebastian Thomas Büttner, Alper Beşer, and Michael Prilla. Assessing the Use of Mixed Reality as a Valid Tool for Human-Robot Interaction Studies in the Context of Space Exploration. In Advancing Human-Computer Interaction for Space Exploration (SpaceCHI 2025). Open Access Series in Informatics (OASIcs), Volume 130, pp. 27:1-27:11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)

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@InProceedings{guerra_et_al:OASIcs.SpaceCHI.2025.27,
  author =	{Guerra, Enrico and B\"{u}ttner, Sebastian Thomas and Be\c{s}er, Alper and Prilla, Michael},
  title =	{{Assessing the Use of Mixed Reality as a Valid Tool for Human-Robot Interaction Studies in the Context of Space Exploration}},
  booktitle =	{Advancing Human-Computer Interaction for Space Exploration (SpaceCHI 2025)},
  pages =	{27:1--27:11},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-384-3},
  ISSN =	{2190-6807},
  year =	{2025},
  volume =	{130},
  editor =	{Bensch, Leonie and Nilsson, Tommy and Nisser, Martin and Pataranutaporn, Pat and Schmidt, Albrecht and Sumini, Valentina},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.SpaceCHI.2025.27},
  URN =		{urn:nbn:de:0030-drops-240175},
  doi =		{10.4230/OASIcs.SpaceCHI.2025.27},
  annote =	{Keywords: Mixed Reality, Augmented Reality, Human-Robot Interaction, Space Exploration, Validity}
}
Document
Position
DOI: 10.4230/TGDK.1.1.2
Large Language Models and Knowledge Graphs: Opportunities and Challenges

Authors: Jeff Z. Pan, Simon Razniewski, Jan-Christoph Kalo, Sneha Singhania, Jiaoyan Chen, Stefan Dietze, Hajira Jabeen, Janna Omeliyanenko, Wen Zhang, Matteo Lissandrini, Russa Biswas, Gerard de Melo, Angela Bonifati, Edlira Vakaj, Mauro Dragoni, and Damien Graux

Published in: TGDK, Volume 1, Issue 1 (2023): Special Issue on Trends in Graph Data and Knowledge. Transactions on Graph Data and Knowledge, Volume 1, Issue 1

Abstract
Large Language Models (LLMs) have taken Knowledge Representation - and the world - by storm. This inflection point marks a shift from explicit knowledge representation to a renewed focus on the hybrid representation of both explicit knowledge and parametric knowledge. In this position paper, we will discuss some of the common debate points within the community on LLMs (parametric knowledge) and Knowledge Graphs (explicit knowledge) and speculate on opportunities and visions that the renewed focus brings, as well as related research topics and challenges.
Cite as

Jeff Z. Pan, Simon Razniewski, Jan-Christoph Kalo, Sneha Singhania, Jiaoyan Chen, Stefan Dietze, Hajira Jabeen, Janna Omeliyanenko, Wen Zhang, Matteo Lissandrini, Russa Biswas, Gerard de Melo, Angela Bonifati, Edlira Vakaj, Mauro Dragoni, and Damien Graux. Large Language Models and Knowledge Graphs: Opportunities and Challenges. In Special Issue on Trends in Graph Data and Knowledge. Transactions on Graph Data and Knowledge (TGDK), Volume 1, Issue 1, pp. 2:1-2:38, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@Article{pan_et_al:TGDK.1.1.2,
  author =	{Pan, Jeff Z. and Razniewski, Simon and Kalo, Jan-Christoph and Singhania, Sneha and Chen, Jiaoyan and Dietze, Stefan and Jabeen, Hajira and Omeliyanenko, Janna and Zhang, Wen and Lissandrini, Matteo and Biswas, Russa and de Melo, Gerard and Bonifati, Angela and Vakaj, Edlira and Dragoni, Mauro and Graux, Damien},
  title =	{{Large Language Models and Knowledge Graphs: Opportunities and Challenges}},
  journal =	{Transactions on Graph Data and Knowledge},
  pages =	{2:1--2:38},
  year =	{2023},
  volume =	{1},
  number =	{1},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/TGDK.1.1.2},
  URN =		{urn:nbn:de:0030-drops-194766},
  doi =		{10.4230/TGDK.1.1.2},
  annote =	{Keywords: Large Language Models, Pre-trained Language Models, Knowledge Graphs, Ontology, Retrieval Augmented Language Models}
}
Document
DOI: 10.4230/DARTS.4.1.1
mRUBiS: An Exemplar for Model-Based Architectural Self-Healing and Self-Optimization (Artifact)

Authors: Thomas Vogel

Published in: DARTS, Volume 4, Issue 1, Special Issue of the 13th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2018)

Abstract
Self-adaptive software systems are often structured into an adaptation engine that manages an adaptable software by operating on a runtime model that represents the architecture of the software (model-based architectural self-adaptation). Despite the popularity of such approaches, existing exemplars provide application programming interfaces but no runtime model to develop adaptation engines. Consequently, there does not exist any exemplar that supports developing, evaluating, and comparing model-based self-adaptation off the shelf. Therefore, we present mRUBiS, an extensible exemplar for model-based architectural self-healing and self-optimization. mRUBiS simulates the adaptable software and therefore provides and maintains an architectural runtime model of the software, which can be directly used by adaptation engines to realize and perform self-adaptation. Particularly, mRUBiS supports injecting issues into the model, which should be handled by self-adaptation, and validating the model to assess the self-adaptation. For this purpose, the exemplar provides two case studies of self-healing and self-optimization. Finally, mRUBiS allows developers to explore variants of adaptation engines (e.g., event-driven self-adaptation) and to evaluate the effectiveness, efficiency, and scalability of the engines.
Cite as

Thomas Vogel. mRUBiS: An Exemplar for Model-Based Architectural Self-Healing and Self-Optimization (Artifact). In Special Issue of the 13th International Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2018). Dagstuhl Artifacts Series (DARTS), Volume 4, Issue 1, pp. 1:1-1:4, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@Article{vogel:DARTS.4.1.1,
  author =	{Vogel, Thomas},
  title =	{{mRUBiS: An Exemplar for Model-Based Architectural Self-Healing and Self-Optimization (Artifact)}},
  pages =	{1:1--1:4},
  journal =	{Dagstuhl Artifacts Series},
  ISSN =	{2509-8195},
  year =	{2018},
  volume =	{4},
  number =	{1},
  editor =	{Vogel, Thomas},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DARTS.4.1.1},
  URN =		{urn:nbn:de:0030-drops-87102},
  doi =		{10.4230/DARTS.4.1.1},
  annote =	{Keywords: Self-adaptation, architecture, runtime models, simulator}
}
Document
DOI: 10.4230/DagSemProc.10431.3
Software Engineering for Self-Adaptive Systems: A second Research Roadmap

Authors: Rogerio de Lemos, Holger Giese, Hausi Müller, Mary Shaw, Jesper Andersson, Luciano Baresi, Basil Becker, Nelly Bencomo, Yuriy Brun, Bojan Cikic, Ron Desmarais, Schahram Dustdar, Gregor Engels, Kurt Geihs, Karl M. Goeschka, Alessandra Gorla, Vincenzo Grassi, Poala Inverardi, Gabor Karsai, Jeff Kramer, Marin Litoiu, Antonia Lopes, Jeff Magee, Sam Malek, Serge Mankovskii, Raffaela Mirandola, John Mylopoulos, Oscar Nierstrasz, Mauro Pezzè, Christian Prehofer, Wilhelm Schäfer, Wilhelm Schlichting, Bradley Schmerl, Dennis B. Smith, Joao P. Sousa, Gabriel Tamura, Ladan Tahvildari, Norha M. Villegas, Thomas Vogel, Danny Weyns, Kenny Wong, and Jochen Wuttke

Published in: Dagstuhl Seminar Proceedings, Volume 10431, Software Engineering for Self-Adaptive Systems (2011)

Abstract
The goal of this roadmap paper is to summarize the state of-the-art and identify research challenges when developing, deploying and managing self-adaptive software systems. Instead of dealing with a wide range of topics associated with the field, we focus on four essential topics of self-adaptation: design space for adaptive solutions, processes, from centralized to decentralized control, and practical run-time verification and validation. For each topic, we present an overview, suggest future directions, and focus on selected challenges. This paper complements and extends a previous roadmap on software engineering for self-adaptive systems published in 2009 covering a different set of topics, and reflecting in part on the previous paper. This roadmap is one of the many results of the Dagstuhl Seminar 10431 on Software Engineering for Self-Adaptive Systems, which took place in October 2010.
Cite as

Rogerio de Lemos, Holger Giese, Hausi Müller, Mary Shaw, Jesper Andersson, Luciano Baresi, Basil Becker, Nelly Bencomo, Yuriy Brun, Bojan Cikic, Ron Desmarais, Schahram Dustdar, Gregor Engels, Kurt Geihs, Karl M. Goeschka, Alessandra Gorla, Vincenzo Grassi, Poala Inverardi, Gabor Karsai, Jeff Kramer, Marin Litoiu, Antonia Lopes, Jeff Magee, Sam Malek, Serge Mankovskii, Raffaela Mirandola, John Mylopoulos, Oscar Nierstrasz, Mauro Pezzè, Christian Prehofer, Wilhelm Schäfer, Wilhelm Schlichting, Bradley Schmerl, Dennis B. Smith, Joao P. Sousa, Gabriel Tamura, Ladan Tahvildari, Norha M. Villegas, Thomas Vogel, Danny Weyns, Kenny Wong, and Jochen Wuttke. Software Engineering for Self-Adaptive Systems: A second Research Roadmap. In Software Engineering for Self-Adaptive Systems. Dagstuhl Seminar Proceedings, Volume 10431, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2011)

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@InProceedings{delemos_et_al:DagSemProc.10431.3,
  author =	{de Lemos, Rogerio and Giese, Holger and M\"{u}ller, Hausi and Shaw, Mary and Andersson, Jesper and Baresi, Luciano and Becker, Basil and Bencomo, Nelly and Brun, Yuriy and Cikic, Bojan and Desmarais, Ron and Dustdar, Schahram and Engels, Gregor and Geihs, Kurt and Goeschka, Karl M. and Gorla, Alessandra and Grassi, Vincenzo and Inverardi, Poala and Karsai, Gabor and Kramer, Jeff and Litoiu, Marin and Lopes, Antonia and Magee, Jeff and Malek, Sam and Mankovskii, Serge and Mirandola, Raffaela and Mylopoulos, John and Nierstrasz, Oscar and Pezz\`{e}, Mauro and Prehofer, Christian and Sch\"{a}fer, Wilhelm and Schlichting, Wilhelm and Schmerl, Bradley and Smith, Dennis B. and Sousa, Joao P. and Tamura, Gabriel and Tahvildari, Ladan and Villegas, Norha M. and Vogel, Thomas and Weyns, Danny and Wong, Kenny and Wuttke, Jochen},
  title =	{{Software Engineering for Self-Adaptive Systems:  A second Research Roadmap}},
  booktitle =	{Software Engineering for Self-Adaptive Systems},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2011},
  volume =	{10431},
  editor =	{Rogerio de Lemos and Holger Giese and Hausi M\"{u}ller and Mary Shaw},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.10431.3},
  URN =		{urn:nbn:de:0030-drops-31561},
  doi =		{10.4230/DagSemProc.10431.3},
  annote =	{Keywords: }
}
Document
DOI: 10.4230/DagSemProc.05181.5
Connecting the Vehicle with the Environment - Trends and Challenges

Authors: Gerrit de Boer and Peter Vogel

Published in: Dagstuhl Seminar Proceedings, Volume 5181, Mobile Computing and Ambient Intelligence: The Challenge of Multimedia (2005)

Abstract
Innovations in automotive electronics have become increasingly complex, resulting in high-end vehicles containing more than 70 electronic control units and offering a variety of functions to the driver. In-vehicle telematics and infotainment systems provide services like digital radio, broadcast services, television, and MP3 audio. Future applications and services will integrate information sources available outside and inside the car, requiring vehicle systems connected with in-vehicle Consumer Electronics devices and the outside world. In order to realized the vision of an intelligent networked car, connected with the environment and providing the driver with information according to his demands, common efforts towards car manufacturer and supplier spanning standards for data exchange are required. The paper discusses possible approaches and future challenges.
Cite as

Gerrit de Boer and Peter Vogel. Connecting the Vehicle with the Environment - Trends and Challenges. In Mobile Computing and Ambient Intelligence: The Challenge of Multimedia. Dagstuhl Seminar Proceedings, Volume 5181, pp. 1-5, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2005)

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@InProceedings{deboer_et_al:DagSemProc.05181.5,
  author =	{de Boer, Gerrit and Vogel, Peter},
  title =	{{Connecting the Vehicle with the Environment - Trends and Challenges}},
  booktitle =	{Mobile Computing and Ambient Intelligence: The Challenge of Multimedia},
  pages =	{1--5},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2005},
  volume =	{5181},
  editor =	{Nigel Davies and Thomas Kirste and Heidrun Schumann},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.05181.5},
  URN =		{urn:nbn:de:0030-drops-3793},
  doi =		{10.4230/DagSemProc.05181.5},
  annote =	{Keywords: Mobile Multimedia, Vehicle Infotainment, Telematics}
}
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