Study level

PhD

Master of Philosophy

Honours

Vacation research experience scheme

Faculty/School

Science and Engineering Faculty

School of Computer Science

Topic status

We're looking for students to study this topic.

Supervisors

Dr Jinglan Zhang
Position
Senior Lecturer
Division / Faculty
Science and Engineering Faculty

Overview

Our research is seeking to answer the question: 'How can we make information accessible to people with diverse needs?'

The web has become the primary mechanism for information delivery. However, there can be significant barriers accessing this information for people with intellectual disabilities.

This project aims to address the web usability issue by developing technological solutions. These solutions will allow people with intellectual disabilities to independently seek information.

We're looking for multiple students to join this research project. You can work on a specific aspect of the project, such as:

  • computer-human interaction
  • information retrieval
  • inclusive web design.

Research activities

The research involves collaborative investigation between QUT researchers, a disability service provider and people with intellectual disabilities to understand their aspirations and current practices accessing the web. We'll unite technical and client-centred knowledge to develop new information access techniques. These techniques will be tested in either an application or Internet-of-Things solution.

The project scope and activities will vary based on your level of study. You can expect to:

  • undertake a literature review
  • frame specific research questions
  • design solutions addressing the research questions
  • conduct experiments to evaluate your solutions
  • analyse and document your results
  • disseminate your findings in the form of reports, papers and oral presentations.

Outcomes

This project aims to address the web usability issue by developing digital solutions that allow people with intellectual disabilities to independently seek information.

Other outcomes from this project include:

  • novel algorithms
  • techniques
  • software prototypes
  • reports and/or research papers.

If you're undertaking a VRES project, you're only expected to join our existing research team and modify or evaluate some of our existing algorithms, software or techniques.

Skills and experience

As the ideal candidate you should have background in any of the following disciplines:

  • computer science
  • information systems
  • data science
  • mathematics
  • engineering majoring in computer and software systems.

You should also have knowledge and skills in computer programming, data analysis or human computer interaction.

Scholarships

You may be able to apply for a research scholarship in our annual scholarship round.

Annual scholarship round

Keywords

Contact

Contact the supervisor for more information.