Applied Informatics Research group
 

Current Projects



 
  If you are interested in being involved in any of these projects, please contact us.

 
 
Social Presence in Electronic Commerce
Internet platforms often use images and videos of families or people competing in sport events to increase the warmth and social presence, i.e., a sense of belonging to a community during users’ shopping experience. This project investigates how such graphical elements (e.g., community images, COM; competition images, CMP; avatars, AVA) affect the cognitive and affective processes of consumers on electronic commerce platforms, such as electronic auctions, retail websites, and sharing economy sites. The project builds on controlled laboratory experiments where users interact with each other on e-commerce platforms. Psychometric scales are used along with physiological measurements in order to assess users’ perceptions as well as their raw affective processes.

 

Image source: Project authors


 
 

Image source: Project authors

 
Serious Games for Stroke Rehabilitation
Determining ideal training conditions for stroke rehabilitation is difficult, as no objective measures exist and the psychological state of patients during therapy is often neglected. A serious game is used to present physical and cognitive challenges. The psychological state of the patient is estimated and used to vary the tasks in real time by adjusting game parameters. This should improve training outcomes and recovery, as it enables training that is challenging yet does not over-stress the patient.

 
 
Empathic Avatars for Stroke Rehabilitation
Stroke is a major threat facing Australians. Current rehabilitation uses verbal and written instructions, but it is known that inadequate understanding of health care advice is very common, and non-compliance with medical advice is estimated to be as high as 50% of patients with chronic disease. This work will produce a mobile App that will engage the stroke survivor and turn intellectual and static medical advice into an emotionally compelling experience. The App will make use of avatars that can be personalised to the individual patient, through settings made by the health care professional in consultation with the patient.

 

Image source: Project authors


 
 

Image source: Wikimedia Commons

 
Intelligent Transportation Planning
The Travelling Salesman Problem (TSP) is one of the most well-researched logistics planning problems. TSPs arise in a wide variety of transportation and logistics applications such as the delivery of farming equipment from one location to another to test soil, arranging school bus routes to pick up children in a school district, handling material in a warehouse, scheduling interviews between tour brokers and vendors of the tourism industry, and the design of global navigation satellite systems, among others. The project will draw on evolutionary computation and local search techniques to propose a more systematic way of comparing TSP solvers.

 
 
Analysis of Heart Rate Variability using Multi Spectral Entropy Measures
Heart rate can be measured with simple equipment and does not provide the full ECG signal. However, there is much information in the beat to beat (RR) interval. Heart rate variability has been analysed with time- and frequency-domain methods, but more recent nonlinear analysis has shown an increased sensitivity for identifying risk of future morbidity and mortality in cardiac patients. A comparison of Multiscale Entropy (MSE), Multi Fractal DFA (MFDFA), and Renyi Entropy (RE) showed the latter provided the best separation between partipants with Cardiac Autonomic Neuropathy and controls.

 

Image source: Project authors

 
 

Image source: Wikimedia Commons

 
The Virtual Pharmacy
This project investigates the use of virtual technologies for providing training experiences for pharmacy students. It incorporates the use of online walkthroughs and 3D models to provide students with a means for interacting in pharmacy settings prior to placement. This work is in collaboration with the School of Pharmacy.

 
 
Finding patterns in large scale disturbances of the US electricity network
A large electricity network can be analyzed and understood from a complex systems viewpoint. Power systems are believed to be examples of systems with Self Organizing Criticality. That is, such systems may evolve towards a critical point. The implications are that large blackouts are an inevitable feature of such networks.

 

Image source: Project authors

 
 

Image source: Project authors

 
ALS-HELP : A Clinical Training and Induction Assessment Tool
This project aims to produce an interactive, multi-media tool for training and assessment in the use of an emergency trolley. This standardised item of surgical equipment for advanced life support (ALS) is present in every hospital's operating suite, and holds up to 100 items of equipment. This pilot project, in conjunction with John Hunter Hospital (JHH) Perioperative Education team, will lead to development of a generic framework for research into clinical education.

 
 
Population Dynamics in Ecological Systems Using Computer Models
This project involves the exploration of population dynamics in ecological systems using computer models. This builds upon two generalised and parsimonious models, built in the tradition of classical ecological modelling, that can be applied to specific systems, including exclusive mammalian predator-prey systems and grazing herbivore systems. The current project includes further development of these models and the development of new models of specific systems in collaboration with practising ecologists.

 

Image source: Wikimedia Commons

 
 
Other Projects
  • Computer assisted feature selection for supervised and unsupervised data mining
  • An Analysis of Integrating Cloud Technologies into Teaching / Learning Environments
  • Use of Pattern Recognition to Identify Mild Cognitive Impairment and Predict Cognitive Decline
  • Integration of Business Intelligence for Medical Based Digital Ecosystems (MBDE)
  • An Investigation on Authentication, Authorisation, Trust Relationship and Security Protection in a Digital Ecosystem Environment
  • Intelligent Pattern Analysis for Household Power Appliances Monitoring
  • Authentication of Computer Users with RFID Super-Resolution From Multi-Frames