Supervisors
- Position
- Professor in Design
- Division / Faculty
- Faculty of Engineering
- Position
- Senior Lecturer in Computer Science (Software Development)
- Division / Faculty
- Faculty of Science
Overview
Vision-based technologies offer new possibilities to assist individuals with cognitive disabilities to live independently. Ambient assistive technologies, such as smart mirrors and social robots, enable new ways to interact at home with AI technologies that can see.
How can we engage people of all abilities in co-designing ambient assistive technologies?
Participation in design is often defined on a spectrum where stakeholders can be categorised as simple informants (surveyed at the start of a project), evaluators (involved in trial iterations of a design), or co-designers (who can create or modify a design). In most “participatory AI” projects, stakeholders are mere informants.
Students in this project will take prototype based approaches to provide co-designers with cognitive disabilities the tools to imagine designs with AI capabilities. They will develop an ambient interaction framework to evaluate the nature and the extent of participation in design, as a member of the Supporting Independent Living with 'Seeing' Technologies team.
Research activities
- Literature review.
- Participatory design research.
- Prototype development.
Outcomes
- Student thesis.
- Co-authored publications.
Skills and experience
Students applying for this topic should have:
- experience and/or interest in working with people with disabilities
- experience with participatory design and/or prototyping approaches.
A background in human-computer interaction (or similar) is preferred.
Students with relevant lived experience are strongly encouraged to apply.
Scholarships
You may be eligible to apply for a research scholarship.
Explore our research scholarships
Keywords
- participatory design
- AI
- accessibility
- assistive technology
- cognitive disability
- vision language model
- VLM
- seeing technology
- robots
- human-robot interaction
- HRI
- HCI
- human-computer interaction
- participatory AI
Contact
For more information contact Laurianne Sitbonn via email l.sitbon@qut.edu.au or phone +61 7 3138 8079, or contact the supervisor.