Objective: The objective is to demonstrate how the Human View architecture can be used to define and evaluate the human interoperability capabilities of a net-centric system. Human interoperability strives to understand the types of system relationships that affect collaboration across networked environments.
Background: The Human View was developed as an additional system architectural viewpoint to focus on the human component of a system by capturing data on human roles, tasks, constraints, interactions, and metrics.This framework can be used to collect and organize social system parameters to facilitate the way that humans interact across organizational boundaries.
Method: By mapping the Human View elements to organizational relationships defined in the domain of network theory, a network model of the Human View can be developed.This representation can then be aligned with a Layers of Interoperability model for collaborative systems.The model extends traditional technical interoperability to include organizational aspects important for human interoperability. The resulting composite model can be used to evaluate the human interoperability capability of network-enabled systems.
Results: An interagency response to a crisis situation is an example where increased levels of human interoperability can affect the effectiveness of the organizational interactions. The existing Human View products representing the interagency capabilities were evaluated using the network model to demonstrate how the social system variables can be identified and evaluated to improve the system design.
Conclusion: By understanding and incorporating human interoperability requirements, the resulting system design can more effectively support collaborative tasks across technological environments to facilitate timely responses to events.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1177/0018720813493640 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Scan and share to register outpatients, India.
Bull World Health Organ
February 2025
International Institute of Health Management Research, Phase 2, Plot No 3, Sector 18A, Dwarka, New Delhi, 10075, India.
Problem: To address the long waiting times patients incur when visiting outpatient departments in India.
Approach: In 2022, the National Health Authority in India developed a paperless service, called Scan and Share, leveraging mobile technology and QR (quick-response) codes to streamline outpatient department appointments. Patients can use a mobile application (app) to scan QR codes at health facilities, generating tokens linked to registration counters.
Helping authors produce FAIR taxonomic data: evaluation of an author-driven phenotype data production prototype.
Database (Oxford)
January 2025
Research and Development Centre, Agriculture and Agri-Food Canada, 960 Carling Avenue, Ottawa, ON CA K1A 0C6, Canada.
It is well-known that the use of vocabulary in phenotype treatments is often inconsistent. An earlier survey of biologists who create or use phenotypic characters revealed that this lack of standardization leads to ambiguities, frustrating both the consumers and producers of phenotypic data. Such ambiguities are challenging for biologists, and more so for Artificial Intelligence, to resolve.
View Article and Find Full Text PDFThe TOXIN knowledge graph: supporting animal-free risk assessment of cosmetics.
Database (Oxford)
January 2025
Department of In Vitro Toxicology and Dermato-Cosmetology (IVTD), Vrije Universiteit Brussel, Laarbeeklaan 103, Brussels 1090, Belgium.
The European Union's ban on animal testing for cosmetic products and their ingredients, combined with the lack of validated animal-free methods, poses challenges in evaluating their potential repeated-dose organ toxicity. To address this, innovative strategies like Next-Generation Risk Assessment (NGRA) are being explored, integrating historical animal data with new mechanistic insights from non-animal New Approach Methodologies (NAMs). This paper introduces the TOXIN knowledge graph (TOXIN KG), a tool designed to retrieve toxicological information on cosmetic ingredients, with a focus on liver-related data.
View Article and Find Full Text PDFInstance maps as an organising concept for complex experimental workflows as demonstrated for (nano)material safety research.
Beilstein J Nanotechnol
January 2025
Seven Past Nine GmbH, Rebacker 68, 79650 Schopfheim, Germany.
Nanosafety assessment, which seeks to evaluate the risks from exposure to nanoscale materials, spans materials synthesis and characterisation, exposure science, toxicology, and computational approaches, resulting in complex experimental workflows and diverse data types. Managing the data flows, with a focus on provenance (who generated the data and for what purpose) and quality (how was the data generated, using which protocol with which controls), as part of good research output management, is necessary to maximise the reuse potential and value of the data. Instance maps have been developed and evolved to visualise experimental nanosafety workflows and to bridge the gap between the theoretical principles of FAIR (Findable, Accessible, Interoperable and Re-usable) data and the everyday practice of experimental researchers.
View Article and Find Full Text PDFCross-Platform Ecological Momentary Assessment App (JTrack-EMA+): Development and Usability Study.
J Med Internet Res
January 2025
Research Centre Jülich, Institute of Neuroscience and Medicine, Brain and Behaviour (INM-7), Jülich, Germany.
Background: Traditional in-clinic methods of collecting self-reported information are costly, time-consuming, subjective, and often limited in the quality and quantity of observation. However, smartphone-based ecological momentary assessments (EMAs) provide complementary information to in-clinic visits by collecting real-time, frequent, and longitudinal data that are ecologically valid. While these methods are promising, they are often prone to various technical obstacles.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!