CEWAY: Cognitively ergonomic wayfinding directions for location-based services. This project develops qualitative models of wayfinding directions based on landmarks (e.g., 'to the hospital') and common spatial predicates (e.g. 'near to'). These models provide a basis for selecting salient features in different contexts and combining these features with vague spatial predicates. Such wayfinding directions require less cognitive workload and lead to higher success rates in wayfinding than current ....CEWAY: Cognitively ergonomic wayfinding directions for location-based services. This project develops qualitative models of wayfinding directions based on landmarks (e.g., 'to the hospital') and common spatial predicates (e.g. 'near to'). These models provide a basis for selecting salient features in different contexts and combining these features with vague spatial predicates. Such wayfinding directions require less cognitive workload and lead to higher success rates in wayfinding than current approaches. The project develops an integrated formal model of context-dependent salience and navigation under uncertainty. A demonstrator will be implemented based on the industry partners' software platform and data. Human subject tests using the demonstrator software will be used to verify the efficacy of our approach.Read moreRead less
Intelligent Self-Organizing Transport. The project aims to develop smart transport solutions for Australia's sprawling mega-cities with their complex challenges to provide mobility and equitable access, and with their susceptibility to failure in cases of disasters. In particular, the project will develop software establishing intelligent and self-organizing transport management in urban environments. The project has potential to increase the mobility of citizens, even in low-density suburbs, by ....Intelligent Self-Organizing Transport. The project aims to develop smart transport solutions for Australia's sprawling mega-cities with their complex challenges to provide mobility and equitable access, and with their susceptibility to failure in cases of disasters. In particular, the project will develop software establishing intelligent and self-organizing transport management in urban environments. The project has potential to increase the mobility of citizens, even in low-density suburbs, by reducing the desire for individual car traffic at the same time. Since a self-organizing transport management works ad-hoc, it can be deployed also in devastated areas, e.g., after disasters.Read moreRead less
Geo-placed Knowledge: developing a methodology for provisioning stakeholders in natural environments management with integrated media tools. The objectives of this research are to employ the concept of a geo-knowledge tool to construct a virtual geographical information repository. It will build and evaluate the effectiveness of a Web-delivered GeoKnowledge tool to facilitate better access to (geo)information about the nation. It will develop 'rules' for guiding the design of content, informatio ....Geo-placed Knowledge: developing a methodology for provisioning stakeholders in natural environments management with integrated media tools. The objectives of this research are to employ the concept of a geo-knowledge tool to construct a virtual geographical information repository. It will build and evaluate the effectiveness of a Web-delivered GeoKnowledge tool to facilitate better access to (geo)information about the nation. It will develop 'rules' for guiding the design of content, information prospecting support, data mining and interface access within the context of a contemporary atlas. Finally, it has an underlying goal to understand the complexities of provisioning and providing a Web-delivered tool that can be employed by multi-disciplinary teams for understanding geographical information about national parks throughout Australia.Read moreRead less