In search of relevant things: A novel approach for image analysis. This project aims to investigate how experts’ cognitive processes may be transferred to computers for the automatic recognition of visual features. By merging computer and brain sciences, the project will characterise the way the brains of experts understand what is seen, in order to translate such a process in a new computer vision tool. This should provide significant benefits, such as automatic detection of threats or diseases ....In search of relevant things: A novel approach for image analysis. This project aims to investigate how experts’ cognitive processes may be transferred to computers for the automatic recognition of visual features. By merging computer and brain sciences, the project will characterise the way the brains of experts understand what is seen, in order to translate such a process in a new computer vision tool. This should provide significant benefits, such as automatic detection of threats or diseases in satellite and diagnostic imaging, respectively, among other applications. For the first time, the combination of how a computer analyses an image and how an expert interprets it will be used as a common language to enable machines to process visual information in a manner that mimics the way human brains do.Read moreRead less
Accuracy and cost-effectiveness of technology-assisted dietary assessment. This project aims to compare leading methods for technology-assisted dietary assessment. Excessive cost and questionable accuracy limit the routine use of dietary assessment and undermine decision making in Australia. This project intends to compare three technology methods of assessing diet with the current standard recall method used in population surveys in order to confirm if the use of food images and automated metho ....Accuracy and cost-effectiveness of technology-assisted dietary assessment. This project aims to compare leading methods for technology-assisted dietary assessment. Excessive cost and questionable accuracy limit the routine use of dietary assessment and undermine decision making in Australia. This project intends to compare three technology methods of assessing diet with the current standard recall method used in population surveys in order to confirm if the use of food images and automated methods provide new approaches to improve accuracy and consumer acceptability. Expected outcomes of this project include more accurate and acceptable methods of assessing dietary intake. These findings will inform decision making for researchers, policy makers and practitioners in Australia, and potentially lead to more regular population surveillance.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE200100043
Funder
Australian Research Council
Funding Amount
$426,970.00
Summary
Autobiographical memory as a key to successful psychological functioning. This project aims to develop a theoretical framework that will explain how the retrieval of autobiographical memories may be essential for good mental health. Using cutting-edge statistical techniques, an international team of researchers will track young adults over a number of years to explore whether autobiographical memory retrieval underlies development of both adaptive and dysfunctional aspects of psychological funct ....Autobiographical memory as a key to successful psychological functioning. This project aims to develop a theoretical framework that will explain how the retrieval of autobiographical memories may be essential for good mental health. Using cutting-edge statistical techniques, an international team of researchers will track young adults over a number of years to explore whether autobiographical memory retrieval underlies development of both adaptive and dysfunctional aspects of psychological functioning. Expected project outcomes will indicate whether future researchers could enhance autobiographical memory to promote healthy development and potentially prevent mental illness from ever emerging. This will allow future researchers to use cognitive science to benefit the mental health of Australians.Read moreRead less
Improving the diagnosticity of eyewitness memory choices. Eyewitness identification error is common and costly. This project aims to improve the quality of information provided by eyewitnesses, and the ability of police officers and triers of fact (e.g., juries, judges) to evaluate this information. Laboratory investigations will determine how best to test memory and confidence to achieve this aim. A new class of cognitive models will provide a unified account of response accuracy, response time ....Improving the diagnosticity of eyewitness memory choices. Eyewitness identification error is common and costly. This project aims to improve the quality of information provided by eyewitnesses, and the ability of police officers and triers of fact (e.g., juries, judges) to evaluate this information. Laboratory investigations will determine how best to test memory and confidence to achieve this aim. A new class of cognitive models will provide a unified account of response accuracy, response time, and confidence, suitable for application to computerized testing scenarios. The models and testing methods validated in the laboratory will be refined for application in eyewitness memory settings, facilitating better evaluation of identification evidence, and potentially reducing wrongful convictions.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100106
Funder
Australian Research Council
Funding Amount
$360,000.00
Summary
Measuring interference from prior memories using experience sampling. The project aims to better understand the causes of forgetting in recognition memory. This project will measure participants' experiences using smartphone technology for four weeks before a recognition memory experiment. Similarities between the images in the experiment and images in prior experience can be used to fully specify all interference components within a computational model of recognition memory, leading to a comple ....Measuring interference from prior memories using experience sampling. The project aims to better understand the causes of forgetting in recognition memory. This project will measure participants' experiences using smartphone technology for four weeks before a recognition memory experiment. Similarities between the images in the experiment and images in prior experience can be used to fully specify all interference components within a computational model of recognition memory, leading to a complete model of recognition memory. Better understanding the causes of forgetting in recognition memory could show how interference contributes to memory impairments in ageing, and ultimately Alzheimer’s and other clinical disorders.Read moreRead less