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Perceptive informatics: data visualisation, interaction, and human perception

PROJECT CONTEXT

Perceptive and interactive computation deals with computational methods of understanding the human mind, and how today’s technology supports humans in understanding and interacting in their daily lives through computational interfaces. Visualisation, the process of representing information and data graphically, and interacting with these representations is the foundation for human understanding. Within the scope of this project, you can choose a different perspective and focus on perceptive and interactive computation, such as exploring visualisation and computer vision techniques, investigation of human centred aspects such as user experience, smart service designs in intelligent environments or exploration of artificial intelligence methods to design intelligent systems. The aim is to apply these technologies in particular application domains such as e.g. financial industries, sports analysis, intelligent environments, human behaviour modelling, media and entertainment industries, or Big Data applications.

RESEARCH DIRECTIONS

This project is a broad call for students with interest in the fascinating domain of visualisation, computer vision, human-computer interaction, understanding the human mind, and user-experience. There are many pathways through the research project, which emphasise different aspects of perceptive computation ranging from simple virtual reality and augmented reality up to sophisticating interactive graphics in interactive Big Data visualisations and the development of smart interaction designs. The application areas for perceptive computation are broad, and range from arts & entertainment, computational biology, health care, financial and business services, sports, and medicine. A few exemplary research directions include:

  • Big Data, information, and knowledge visualisation;
  • Visualisation and interactive visualisation across industries;
  • Intelligent Big Data analysis and visualisation;
  • Analysis and handling of biofeedback data;
  • Understanding of human perception and cognition;
  • Intelligent user-interfaces, and personification;
  • Scientific visualisation across domains;
  • Human behaviour recognition and modelling;
  • User-Experience and interaction design;

ADDITIONAL INFORMATION

Students will be provided with the latest technologies,  e.g. the Curtin’s Hub for Immersive Visualisation and eResearch (HIVE), 3D virtual and augmented glasses, brain-interfaces, eye trackers, or biofeedback sensors to conduct their research.

What is perceptive informatics?