Discovery Early Career Researcher Award - Grant ID: DE200101130
Funder
Australian Research Council
Funding Amount
$426,770.00
Summary
Beyond Response Time and Choice: Understanding Changes of Mind in Decisions. The project aims to provide novel experimental insight into how people change their minds during decisions, through identifying the cognitive architecture that reflects the behaviour that we observe from people. The project is significant because it provides a substantially deeper understanding of the cognitive decision process and how it changes over time, as opposed to previous research focusing on only the final resp ....Beyond Response Time and Choice: Understanding Changes of Mind in Decisions. The project aims to provide novel experimental insight into how people change their minds during decisions, through identifying the cognitive architecture that reflects the behaviour that we observe from people. The project is significant because it provides a substantially deeper understanding of the cognitive decision process and how it changes over time, as opposed to previous research focusing on only the final response that people make. The expected outcome is a comprehensive understanding of the human decision process through cognitive models that provide an accurate reflection of this mental process. The benefit is an improved understanding of decisions, which are a fundamental part of everyday human life.Read moreRead less
Exploration, Generalisation and the Development of Learning Traps. This project addresses three fundamental questions about human decision-making; 1) how does exploratory choice lead to “learning traps”, persistent patterns of poor decision-making that cause us to miss rewards and experience losses? 2) how does susceptibility to traps change with age? 3) what strategies prevent traps or facilitate escape? The project will advance our understanding of the cognitive processes underlying adult and ....Exploration, Generalisation and the Development of Learning Traps. This project addresses three fundamental questions about human decision-making; 1) how does exploratory choice lead to “learning traps”, persistent patterns of poor decision-making that cause us to miss rewards and experience losses? 2) how does susceptibility to traps change with age? 3) what strategies prevent traps or facilitate escape? The project will advance our understanding of the cognitive processes underlying adult and child decision-making, using innovative experimental paradigms and computational modeling. Expected outcomes include a novel computational model that explains developmental change in trap formation. The results will guide strategies for improved decision-making in educational, financial, and social settings.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE170100177
Funder
Australian Research Council
Funding Amount
$365,000.00
Summary
Cognitive models of mental architectures in consumer preference. This project aims to characterise the mental architecture of consumer preference, the decision mechanisms and strategies that people use to select products or service options. It uses carefully designed experiments and cognitive modelling of mental architectures that capitalise on the information in the product decisions people make and the time taken to make them. The project provides insight into how people reason with and use in ....Cognitive models of mental architectures in consumer preference. This project aims to characterise the mental architecture of consumer preference, the decision mechanisms and strategies that people use to select products or service options. It uses carefully designed experiments and cognitive modelling of mental architectures that capitalise on the information in the product decisions people make and the time taken to make them. The project provides insight into how people reason with and use information to inform their decisions. This will help organisations to improve products and services and engage with consumers, to create competitive advantage, improve customer service and ultimately stimulate the economy.Read moreRead less
Everyday autism: bridging the gap between lab and life. Recent research demonstrates that autistic people, their families and professionals often feel that there remains a sharp divide between autism science and key aspects of everyday autistic life, despite significant public investment in that science. This proposed research investigates reasons for this divide and proposes ways in which it might be overcome. Expected outcomes include greater opportunities for autistic people to play active ro ....Everyday autism: bridging the gap between lab and life. Recent research demonstrates that autistic people, their families and professionals often feel that there remains a sharp divide between autism science and key aspects of everyday autistic life, despite significant public investment in that science. This proposed research investigates reasons for this divide and proposes ways in which it might be overcome. Expected outcomes include greater opportunities for autistic people to play active roles in the research process and more scientific experimentation that moves out of the laboratory and into more true-to-life settings. Bridging the gap between lab and life will result in better theory-building on autism, better translation of scientific discoveries and more robust policy recommendations.Read moreRead less
Harnessing Business Insights from Unstructured Customer Data. Resulting from customers’ widespread uptake of online channels to buy and communicate has been a surge in online reviews and social media posts. This textual information offers a viable alternative to surveys that Australian businesses currently conduct to obtain customer insights. However, these reviews are unstructured and require substantial pre-processing to extract underlying customer perceptions. Therefore, this project aims to ....Harnessing Business Insights from Unstructured Customer Data. Resulting from customers’ widespread uptake of online channels to buy and communicate has been a surge in online reviews and social media posts. This textual information offers a viable alternative to surveys that Australian businesses currently conduct to obtain customer insights. However, these reviews are unstructured and require substantial pre-processing to extract underlying customer perceptions. Therefore, this project aims to develop a novel machine learning approach to quantify the business-relevant information contained in textual information shared by customers online. This alternative approach will provide significant cost-saving benefits for a range of Australian companies, such as retailers, hotels, airlines and restaurants.Read moreRead less
Fake News and Post-Truth Impacts: Responses to Conflictive Uncertainty. Attributions of fake news and post-truth are symptoms of uncertainty arising from conflicting information. Little is known about human responses to conflictive uncertainty other than that people find it aversive. This project aims to identify the determinants of human attitudes towards conflictive uncertainty. The aims will be achieved via the development of measures of attitudes toward conflictive uncertainty, and studies i ....Fake News and Post-Truth Impacts: Responses to Conflictive Uncertainty. Attributions of fake news and post-truth are symptoms of uncertainty arising from conflicting information. Little is known about human responses to conflictive uncertainty other than that people find it aversive. This project aims to identify the determinants of human attitudes towards conflictive uncertainty. The aims will be achieved via the development of measures of attitudes toward conflictive uncertainty, and studies identifying the major influences thereof. Expected outcomes include advances in knowledge of how conflictive uncertainty attitudes relate to risk orientations, personality, and situational factors. Anticipated benefits include improved strategies for decision makers and communicators faced with conflictive uncertainty.Read moreRead less
Emotions and Employee Turnover: New Methods for Complex Dynamic Systems. This project aims to vastly improve the data-analytic capabilities of social and health researchers, while increasing knowledge about emotion dynamics and their link to employee turnover. By drawing on and advancing methods from ecology and applied physics, this project plans to investigate the role that individual emotions play in employee turnover with new quantitative methods for characterising and testing causality in c ....Emotions and Employee Turnover: New Methods for Complex Dynamic Systems. This project aims to vastly improve the data-analytic capabilities of social and health researchers, while increasing knowledge about emotion dynamics and their link to employee turnover. By drawing on and advancing methods from ecology and applied physics, this project plans to investigate the role that individual emotions play in employee turnover with new quantitative methods for characterising and testing causality in complex dynamic systems. The expected outcomes include an improved capacity for researchers, managers, and policy makers to understand complex organisational, economic, and health systems. This will provide immediate societal benefits by informing the development and deployment of targeted interventions in such systems.Read moreRead less
Towards an integrated model of reasoning and reasoning development. This project aims to identify the core cognitive processes that underlie different forms of reasoning and how they develop. The project intends to use a signal detection framework to derive detailed computational models of reasoning which can then be tested through Bayesian computational modelling as well as the first systematic investigation of developmental change in reasoning processes. Expected outcomes include a more princi ....Towards an integrated model of reasoning and reasoning development. This project aims to identify the core cognitive processes that underlie different forms of reasoning and how they develop. The project intends to use a signal detection framework to derive detailed computational models of reasoning which can then be tested through Bayesian computational modelling as well as the first systematic investigation of developmental change in reasoning processes. Expected outcomes include a more principled and comprehensive computational model of reasoning in both adults and children. The project should provide significant benefits by helping to resolve long-standing debates about how humans reason complex arguments relevant to everyday lives and guide development of more effective methods for teaching reasoning.Read moreRead less
Discovery Early Career Researcher Award - Grant ID: DE230100659
Funder
Australian Research Council
Funding Amount
$454,417.00
Summary
The prevalence and impact of digital alcohol exposure. This project aims to use artificial intelligence to quantify the amount of alcohol people are exposed to in digital media (e.g., social media, streaming videos) in their daily lives and the effect alcohol exposure has on alcohol use. Expected outcomes for this project include a quantification of the amount of alcohol exposure in digital media and the impact it has on drinking and a development of a protocol to test exposure. Significant bene ....The prevalence and impact of digital alcohol exposure. This project aims to use artificial intelligence to quantify the amount of alcohol people are exposed to in digital media (e.g., social media, streaming videos) in their daily lives and the effect alcohol exposure has on alcohol use. Expected outcomes for this project include a quantification of the amount of alcohol exposure in digital media and the impact it has on drinking and a development of a protocol to test exposure. Significant benefits are expected for policy makers aiming to reduce exposure and the public wanting to avoid exposure to limit the harm of alcohol.
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Innovative Use of Customer Data for Business Growth. This project aims to apply and adapt the latest machine learning techniques to enable companies to utilise their existing customer data to reveal purchase motivations, product preferences, and responsiveness to marketing communications for each single customer. A widespread practice in marketing is to partition customers into broad groups, but customers expect products and services that are tailored to their individual needs. This presents ex ....Innovative Use of Customer Data for Business Growth. This project aims to apply and adapt the latest machine learning techniques to enable companies to utilise their existing customer data to reveal purchase motivations, product preferences, and responsiveness to marketing communications for each single customer. A widespread practice in marketing is to partition customers into broad groups, but customers expect products and services that are tailored to their individual needs. This presents extreme challenges due to the size and complexity of customer databases. The expected outcomes will enable Australian companies to attract and retain more customers, and make more efficient use of their marketing budget. Benefits include equipping companies to better compete domestically and globally.Read moreRead less