Design Lab: Research

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Research areas

Computational Design

Agent-based design
AI in design
Artificial life
Building information modeling (BIM)
Computational design modeling
Creative design systems
Curious agents
Emergence in design
Evolutionary design
Games design
Generative design systems
Mass customization
Multi-agent systems (MAS)
Parametric modeling

Design Studies

Design cognition
Design discovery
Design thinking
Gestalt theory in design
Productive thinking in designing

Electronic Art and Design

Augmented reality performance
Cyborg culture
Dance and technology
Data art
Electronic art
Electronic body art
Embodiment in digital culture
Generative music
Generative sound
Gestural interaction
Information graphics
Installation art
Interactive audio
Interactive design
Interactive performance
Locative media art and performance
New media
Sensor-based art
Visual culture
Visual design
Wearable computing

Information Visualization and Sonification

Aesthetic sonification
Agent-based visualization
Ambient display
Auditory display
Data art
Information aesthetics
Information graphics
Information visualization
Persuasive computing
Physical computing
Wearable computing

Interaction Design

Computer-supported collaborative work
Electronic body art
Embodiment in digital culture
Interaction design
Interactive audio
Interactive installation art
Interactive sonification
Interactive video
Interface culture
Locative media art
Mobile art
Performative geography
Sensor-based interaction
Tangible user interfaces

Pervasive and Physical Computing

Mobile computing Persuasive computing
Pervasive computing
Physical computing
Sensate environments
Sensor-based design
Wearable computing

Virtual Environments and Virtual Reality

Augmented reality
Augment reality performance
Augmented virtuality
Computer-supported collaborative design
Tangible user interfaces
Virtual environments
Virtual reality

Research Projects

  • Linguistics-Based Preference Information Modeling for Design Decision-Making (2009 - 2012)
    The objective of this research is to model the preference information embedded in natural language engineering design texts in order to identify linguistic forms of preference that will form the basis for a decision-making model that supports comparison of computed decisions to actual decisions.
    Investigators: Maria Yang (Massachusetts Institute of Technology) and Andy Dong; Funding Body: US National Science Foundation
  • Arc Discovery Project (2006 - 2009)
    The aim of this research is to develop a Design Capability Report to measure citizens, capability to design with a focus on public infrastructure projects. The research will compare projects in Australia and internationally to address whether citizens have the capability to perform in a praxis (design) for which the outcome is instrumental to the pursuit of the fundamental goals that constitute well-being.
    Investigators: Andy Dong and Thomas Kvan; Funding Body: Australian Research Council
  • Curious Places: Agent-mediated Self-Award Worlds (2006 - 2008)
    This project develops and demonstrates a model of curious places: physical and digital environments that adapt their behaviour based on their experiences. This means that we can implement new kinds of places, rooms, public spaces, that respond to human activity and new technology by creating their own goals and behaviours.
    Investigators: Mary Lou Maher and Rob Saunders; Funding Body: Australian Research Council
  • Designing for Mobile Learning in a Technology Museum (2005 - 2008)
    This project investigated which pedagogical models are most appropriate for informal (museum) learning and and how these models can be aligned with ICT-mediated learning tools. In collaboration with The Powerhouse Museum, we developed a pedagogical model of informal learning, created activities supported by a mobile learning and collaboratory technical infrastructure to nurture experiential learning and informal discovery, and investigated informal learner experiences within this ICT-mediated informal learning environment.
    Investigators: Peter Reimann and Andy Dong; Funding Body: Australian Research Council
  • Computational Methods for the Social Accounting of Teamwork (2005 - 2008)
    This research examined the pragmatics and theoretical issues of developing computer-based systems that enable real-time assessments of teamwork productivity. The research results have been published in the book The Language of Design: Theory and Computing with accompanying software for the analysis of knowledge integration in creative teams.
    Investigator: Andy Dong; Funding Body: Australian Research Council