Individual Trace in Knowledge Space - A Novel Design Approach for Human-Systems Interaction

Damian Chapman, Stephen Jia Wang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Data mining design is an approach through which system operational improvements in the search and retrieval of data activity can be augmented. This study explores optimisation processes, including data harvest, analytics and visualisation plus covers a wide range of efforts, including identifying the growing need of ‘making-sense’ of data which requires contextual understanding. In both cyberspace and physical world experiences the exploring of challenges and linkages between the cyber-physical knowledge spaces in data are emerging with excessive amounts of raw data. Possibilities to improve User-interface-design through better visualisation infographics in this study propose a novel mapping approach called ‘Trace’ in the Knowledge Space enabling design opportunities that help articulate unique human-system interaction, which provide potential in re-imagining and re-structuring uses of interaction and user-experience. These experienced through the design, use and context of languages enabling the building of new interactive apparatus, algorithms and dynamics in collective intelligence.

Original languageEnglish
Title of host publicationHuman Interaction, Emerging Technologies and Future Applications II - Proceedings of the 2nd International Conference on Human Interaction and Emerging Technologies
Subtitle of host publicationFuture Applications, IHIET-AI 2020
EditorsTareq Ahram, Redha Taiar, Vincent Gremeaux-Bader, Kamiar Aminian
PublisherSpringer
Pages219-224
Number of pages6
ISBN (Print)9783030442668
DOIs
Publication statusPublished - 1 Apr 2020
Event2nd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET-AI 2020 - Lausanne, Switzerland
Duration: 23 Apr 202025 Apr 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1152 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365

Conference

Conference2nd International Conference on Human Interaction and Emerging Technologies: Future Applications, IHIET-AI 2020
CountrySwitzerland
CityLausanne
Period23/04/2025/04/20

Keywords

  • Human-systems Interaction
  • Individual Trace
  • Knowledge Space
  • Second Order Cybernetics
  • User Interaction Design

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

Cite this