2 Search Results for "Giesbrecht, Mark"


Document
Multidimensional Usability Assessment in Spaceflight Analog Missions

Authors: Shivang Shelat, Katherine E. Homer, John A. Karasinski, and Jessica J. Marquez

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


Abstract
Software planning tools enable the self-scheduling of operational timelines during spaceflight, reducing reliance on ground support crews. Here, we assess analog crew perceptions of a planning tool’s usability across two space mission analogs with two validated questionnaires: the unidimensional System Usability Scale and the multidimensional User Experience Questionnaire. Critically, half the missions had assistive countermeasures integrated into the planning software interface whereas the other half did not. Correlation tests revealed high convergence between usability measures in the spaceflight analog setting. Group comparisons showed that the interface countermeasures enhanced several dimensions of usability, particularly for perceptions of the tool’s efficiency and dependability. These findings highlight the utility of a multidimensional approach to characterizing usability in order to capture fine-grained shifts in human-software dynamics, especially in spaceflight environments.

Cite as

Shivang Shelat, Katherine E. Homer, John A. Karasinski, and Jessica J. Marquez. Multidimensional Usability Assessment in Spaceflight Analog Missions. In Advancing Human-Computer Interaction for Space Exploration (SpaceCHI 2025). Open Access Series in Informatics (OASIcs), Volume 130, pp. 3:1-3:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2025)


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@InProceedings{shelat_et_al:OASIcs.SpaceCHI.2025.3,
  author =	{Shelat, Shivang and Homer, Katherine E. and Karasinski, John A. and Marquez, Jessica J.},
  title =	{{Multidimensional Usability Assessment in Spaceflight Analog Missions}},
  booktitle =	{Advancing Human-Computer Interaction for Space Exploration (SpaceCHI 2025)},
  pages =	{3:1--3:9},
  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.2025.3},
  URN =		{urn:nbn:de:0030-drops-239934},
  doi =		{10.4230/OASIcs.SpaceCHI.2025.3},
  annote =	{Keywords: space usability, crew autonomy, self-scheduling software}
}
Document
Probabilistically Stable Numerical Sparse Polynomial Interpolation

Authors: Mark Giesbrecht, George Labahn, and Wen-Shin Lee

Published in: Dagstuhl Seminar Proceedings, Volume 6271, Challenges in Symbolic Computation Software (2006)


Abstract
We consider the problem of sparse interpolation of a multivariate black-box polynomial in floating-point arithmetic. That is, both the inputs and outputs of the black-box polynomial have some error, and all values are represented in standard, fixed-precision, floating-point arithmetic. By interpolating the black box evaluated at random primitive roots of unity, we give an efficient and numerically robust solution with high probability. We outline the numerical stability of our algorithm, as well as the expected conditioning achieved through randomization. Finally, we demonstrate the effectiveness of our techniques through numerical experiments.

Cite as

Mark Giesbrecht, George Labahn, and Wen-Shin Lee. Probabilistically Stable Numerical Sparse Polynomial Interpolation. In Challenges in Symbolic Computation Software. Dagstuhl Seminar Proceedings, Volume 6271, pp. 1-11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2006)


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@InProceedings{giesbrecht_et_al:DagSemProc.06271.14,
  author =	{Giesbrecht, Mark and Labahn, George and Lee, Wen-Shin},
  title =	{{Probabilistically Stable Numerical Sparse Polynomial Interpolation}},
  booktitle =	{Challenges in Symbolic Computation Software},
  pages =	{1--11},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2006},
  volume =	{6271},
  editor =	{Wolfram Decker and Mike Dewar and Erich Kaltofen and Stephen Watt},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.06271.14},
  URN =		{urn:nbn:de:0030-drops-7759},
  doi =		{10.4230/DagSemProc.06271.14},
  annote =	{Keywords: Symbolic-numeric computing, multivariate interpolation, sparse polynomial}
}
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