Aspect orientation as a new approach for context dependent HMI adaptation

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

Abstract

This article presents a concept to improve the collaborative, task-centered work in all phases of the lifecycle of a production site. Key feature of this concept is a shared access to an integrated, semantically connected information space for all users. The interaction with the information space is facilitated by means of an adaptive HMI which reconfigures itself at runtime to fit the users' needs in their current context of use. The HMI is implemented with readily available concepts and technologies of concurrent responsive web design that make it possible to also accommodate the properties of different device classes and sizes.

Details

Original languageEnglish
Title of host publicationProceedings of the International Conference on Interfaces and Human Computer Interaction 2016, Game and Entertainment Technologies 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing 2016 - Part of the Multi Conference on Computer Science and Information Systems 2016
EditorsKatherine Blashki, Yingcai Xiao, Luis Rodrigues
PublisherInternational Association for development of the Information Society (iadis)
Pages68-75
Number of pages8
ISBN (electronic)9789898533524
Publication statusPublished - 2016
Peer-reviewedYes

Conference

Title2016 International Conference on Interfaces and Human Computer Interaction, IHCI 2016, Game and Entertainment Technologies, GET 2016 and Computer Graphics, Visualization, Computer Vision and Image Processing, CGVCVIP 2016
Duration1 - 4 July 2016
CityMadeira
CountryPortugal

External IDs

ORCID /0000-0001-5165-4459/work/174432550

Keywords

Research priority areas of TU Dresden

Subject groups, research areas, subject areas according to Destatis

ASJC Scopus subject areas

Keywords

  • Collaborative Work, HMI Adaptation, Information Spaces, Responsive Design, Semantic Web