Chapman, Damian and Wang, Stephen Jia (2020) Individual trace in knowledge space : a novel design approach for human-systems interaction. In: 2nd International Conference on Human Interaction and Emerging Technologies : Future Applications; 23-25 Apr 2020, Lausanne, Switzerland.

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.

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