Model driven software development for Human-Machine Interaction systems

Arunkumar Ramaswamy, Bruno Monsuez, Adriana Tapus

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In a typical Human-Machine Interaction (HMI) system, a task is performed by cooperation of the human and the automation component. The system adopts a cognitive architecture to model human psychology and makes optimum decisions on dynamic task allocation between human and the machine counterpart depending on the context. However, such architectures do not define how those systems are implemented in software. Various models involved in Model Driven Software Development (MDSD) approach in developing HMI systems is presented. This paper proposes a metamodel for modeling Non-Functional Properties (NFP) in HMI systems and provides a case study on assistive lane keeping in automobiles to demonstrate the approach.

Original languageEnglish
Title of host publicationHRI 2014 - Proceedings of the 2014 ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE Computer Society
Pages270-271
Number of pages2
ISBN (Print)9781450326582
DOIs
Publication statusPublished - 1 Jan 2014
Externally publishedYes
Event9th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2014 - Bielefeld, Germany
Duration: 3 Mar 20146 Mar 2014

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
ISSN (Electronic)2167-2148

Conference

Conference9th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2014
Country/TerritoryGermany
CityBielefeld
Period3/03/146/03/14

Keywords

  • Model driven engineering
  • Non-functional properties

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