Nothing Special   »   [go: up one dir, main page]
Skip to main content
We gratefully acknowledge support from the Simons Foundation, member institutions, and all contributors. Donate
arXiv logo
Cornell University Logo

Computer Science > Other Computer Science

arXiv:cs/0412010 (cs)
[Submitted on 2 Dec 2004]

Title:Toward a Human-Centered Uml for Risk Analysis

Authors:Jeremie Guiochet (LAAS), Gilles Motet, Claude Baron, Guy Boy
View PDF
Abstract: Safety is now a major concern in many complex systems such as medical robots. A way to control the complexity of such systems is to manage risk. The first and important step of this activity is risk analysis. During risk analysis, two main studies concerning human factors must be integrated: task analysis and human error analysis. This multidisciplinary analysis often leads to a work sharing between several stakeholders who use their own languages and techniques. This often produces consistency errors and understanding difficulties between them. Hence, this paper proposes to treat the risk analysis on the common expression language UML (Unified Modeling Language) and to handle human factors concepts for task analysis and human error analysis based on the features of this language. The approach is applied to the development of a medical robot for teleechography.
Subjects: Other Computer Science (cs.OH)
ACM classes: IFIP Conf
Cite as: arXiv:cs/0412010 [cs.OH]
  (or arXiv:cs/0412010v1 [cs.OH] for this version)
  https://doi.org/10.48550/arXiv.cs/0412010
Journal reference: Proc. of the 18th IFIP World Computer Congress (WCC), Human Error, Safety and Systems Development (HESSD04) (2004) 177-191

Submission history

From: Jeremie Guiochet [view email] [via CCSD proxy]
[v1] Thu, 2 Dec 2004 21:32:50 UTC (615 KB)
Full-text links:

Access Paper:

  • View PDF
  • Other Formats
view license
Current browse context:
cs.OH
< prev   |   next >
new | recent | 2004-12

References & Citations

DBLP - CS Bibliography

listing | bibtex
Jérémie Guiochet
Gilles Motet
Claude Baron
Guy A. Boy
export BibTeX citation

Bookmark

BibSonomy logo Reddit logo

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
Papers with Code (What is Papers with Code?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)