3 Search Results for "Jansen, Yvonne"

Document
DOI: 10.4230/DagRep.13.12.24
Model Learning for Improved Trustworthiness in Autonomous Systems (Dagstuhl Seminar 23492)

Authors: Ellen Enkel, Nils Jansen, Mohammad Reza Mousavi, and Kristin Yvonne Rozier

Published in: Dagstuhl Reports, Volume 13, Issue 12 (2024)

Abstract
The term of a model has different meanings in different communities, e.g., in psychology, computer science, and human-computer interaction, among others. Well-defined models and specifications are the bottleneck of rigorous analysis techniques in practice: they are often non-existent or outdated. The constructed models capture various aspects of system behaviours, which are inherently heterogeneous in nature in contemporary autonomous systems. Once these models are in place, they can be used to address further challenges concerning autonomous systems, such as validation and verification, transparency and trust, and explanation. The seminar brought together the best experts in a diverse range of disciplines such as artificial intelligence, formal methods, psychology, software and systems engineering, and human-computer interaction as well as others dealing with autonomous systems. The goal was to consolidate these understanding of models in order to address three grand challenges in trustworthiness and trust: (1) understanding and analysing the dynamic relationship of trustworthiness and trust, (2) the understanding of mental modes and trust, and (3) rigorous and model-based measures for trustworthiness and calibrated trust.
Cite as

Ellen Enkel, Nils Jansen, Mohammad Reza Mousavi, and Kristin Yvonne Rozier. Model Learning for Improved Trustworthiness in Autonomous Systems (Dagstuhl Seminar 23492). In Dagstuhl Reports, Volume 13, Issue 12, pp. 24-47, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2024)

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@Article{enkel_et_al:DagRep.13.12.24,
  author =	{Enkel, Ellen and Jansen, Nils and Mousavi, Mohammad Reza and Rozier, Kristin Yvonne},
  title =	{{Model Learning for Improved Trustworthiness in Autonomous Systems (Dagstuhl Seminar 23492)}},
  pages =	{24--47},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2024},
  volume =	{13},
  number =	{12},
  editor =	{Enkel, Ellen and Jansen, Nils and Mousavi, Mohammad Reza and Rozier, Kristin Yvonne},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.13.12.24},
  URN =		{urn:nbn:de:0030-drops-198543},
  doi =		{10.4230/DagRep.13.12.24},
  annote =	{Keywords: artificial intelligence, automata learning, autonomous systems, cyber-physical systems, formal methods, machine learning, safety, safety-critical systems, self-adaptive systems, software evolution, technology acceptance, trust}
}
Document
DOI: 10.4230/DagRep.12.9.220
Transparent Quantitative Research as a User Interface Problem (Dagstuhl Seminar 22392)

Authors: Chat Wacharamanotham, Yvonne Jansen, Amelia A. McNamara, Kasper Hornbæk, Judy Robertson, and Lahari Goswami

Published in: Dagstuhl Reports, Volume 12, Issue 9 (2023)

Abstract
The replication crises in many scientific fields galvanize movements toward Open Science. Within this movement is a push for increasing research transparency. Although researchers in the areas of Human-Computer Interaction (HCI) and Visualization (VIS) face these challenges, they have methodological expertise to study, design, and evaluate innovations that could help improve research transparency. This Dagstuhl Seminar gathers HCI and VIS researchers and those from adjacent fields such as statistics and psychology to discuss challenges in promoting and adopting research transparency, create prototypes of potential solutions, and receive feedback from policy influencers in the research community. This seminar fostered seeds for future initiatives and collaboration toward improving research transparency in HCI, VIS, and other scientific fields.
Cite as

Chat Wacharamanotham, Yvonne Jansen, Amelia A. McNamara, Kasper Hornbæk, Judy Robertson, and Lahari Goswami. Transparent Quantitative Research as a User Interface Problem (Dagstuhl Seminar 22392). In Dagstuhl Reports, Volume 12, Issue 9, pp. 220-234, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@Article{wacharamanotham_et_al:DagRep.12.9.220,
  author =	{Wacharamanotham, Chat and Jansen, Yvonne and McNamara, Amelia A. and Hornb{\ae}k, Kasper and Robertson, Judy and Goswami, Lahari},
  title =	{{Transparent Quantitative Research as a User Interface Problem (Dagstuhl Seminar 22392)}},
  pages =	{220--234},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2023},
  volume =	{12},
  number =	{9},
  editor =	{Wacharamanotham, Chat and Jansen, Yvonne and McNamara, Amelia A. and Hornb{\ae}k, Kasper and Robertson, Judy and Goswami, Lahari},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.12.9.220},
  URN =		{urn:nbn:de:0030-drops-178149},
  doi =		{10.4230/DagRep.12.9.220},
  annote =	{Keywords: Open Science, Research Transparency, Replicability, Reproducibility, Dagstuhl Seminar}
}
Document
DOI: 10.4230/DagRep.8.10.127
Data Physicalization (Dagstuhl Seminar 18441)

Authors: Jason Alexander, Petra Isenberg, Yvonne Jansen, Bernice E. Rogowitz, and Andrew Vande Moere

Published in: Dagstuhl Reports, Volume 8, Issue 10 (2019)

Abstract
Data physicalization involves representing numbers and relationships using physical, tangible displays. These displays provide tactile, as well as visual metaphors for expressing and experiencing data, and can unlock new analytical insights and emotional responses. This Dagstuhl seminar brought together a diverse group of researchers and practitioners to explore the benefits and challenges of physicalization - computer scientists trained in visualization, virtual reality and human-computer interaction; architects of virtual and augmented systems; perceptual and cognitive scientists; and artists and designers. Through interactive discussions and demonstrations, we explored physicalization, as a set of methodologies for representing data, for engaging audiences, and for artistic expression.
Cite as

Jason Alexander, Petra Isenberg, Yvonne Jansen, Bernice E. Rogowitz, and Andrew Vande Moere. Data Physicalization (Dagstuhl Seminar 18441). In Dagstuhl Reports, Volume 8, Issue 10, pp. 127-147, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@Article{alexander_et_al:DagRep.8.10.127,
  author =	{Alexander, Jason and Isenberg, Petra and Jansen, Yvonne and Rogowitz, Bernice E. and Vande Moere, Andrew},
  title =	{{Data Physicalization (Dagstuhl Seminar 18441)}},
  pages =	{127--147},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2019},
  volume =	{8},
  number =	{10},
  editor =	{Alexander, Jason and Isenberg, Petra and Jansen, Yvonne and Rogowitz, Bernice E. and Vande Moere, Andrew},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/DagRep.8.10.127},
  URN =		{urn:nbn:de:0030-drops-103513},
  doi =		{10.4230/DagRep.8.10.127},
  annote =	{Keywords: Dagstuhl Seminar, Data Physicalization}
}
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