{"links":{"self":"http://dataportal.arc.gov.au/NCGP/API/grants/DE260100850"},"data":{"type":"grant-details","id":"DE260100850","attributes":{"code":"DE260100850","administering-organisation":"The University of New South Wales","announcement-administering-organisation":"The University of New South Wales","scheme-name":"Discovery Early Career Researcher Award","grant-status":"Active","funding-commencement-year":2026,"years-funded":3,"project-start-date":"2026-06-30","anticipated-end-date":"2029-06-29","grant-summary":"Go for it: Understanding the Risk Preference in Risky Hybrid Foraging. From routine tasks like spotting dangers while crossing streets to high-stakes tasks like screening medical images for cancer signs, risky hybrid foraging characterizes a range of real-world search scenarios. In risky hybrid foraging, people search for instances of several risky targets (cancer signs) across several patches (medical images). This project aims to understand the risk preference underlying risky hybrid foraging by integrating cognitive modeling and experimental approaches. Expected outcomes include new insights into how elements of decision making and visual search shape human risky foraging strategies. This should provide valuable guidance for developing interventions to improve search efficiency in real-world scenarios.","funding-current":492112.00,"funding-at-announcement":488049,"investigators-current":[{"title":"Dr","firstName":"Yanjun","familyName":"Liu","roleName":"Discovery Early Career Researcher Award","roleCode":"DECRA","isFellowship":true,"orcidIdentifier":"0000-0001-6850-107X "}],"investigators-at-announcement":[{"title":"Dr","firstName":"Yanjun","familyName":"Liu","roleName":"Discovery Early Career Researcher Award","roleCode":"DECRA","isFellowship":true,"orcidIdentifier":"0000-0001-6850-107X "}],"organisations-current":[{"organisationName":"The University of New South Wales","roleName":"Administering Organisation","state":"NSW"}],"organisations-at-announcement":[{"organisationName":"The University of New South Wales","roleName":"Administering Organisation","state":"NSW"}],"field-of-research":[{"isPrimary":true,"code":"5204","name":"Cognitive and Computational Psychology","type":"FOR20"},{"isPrimary":false,"code":"520401","name":"Cognition","type":"FOR20"},{"isPrimary":false,"code":"520402","name":"Decision Making","type":"FOR20"}],"socio-economic-objective":[{"code":"280121","name":"Expanding Knowledge In Psychology","type":"SEO20"}],"international-collaboration":["United States of America"],"lief-register":[],"achievement-summary":null,"national-interest-test-statement":"Risk preference plays a key role in shaping how people search in hybrid foraging scenarios relevant to everyday life (e.g., deciding whether to prioritize searching for rare, catastrophic security threats or frequent, low-impact security risks). Problems in improving search efficiency often arise from risk sensitivity, where individuals prioritize seeking low-value, certain gains while ignoring high-value, risky options, or focus on spotting rare, high-risk hazards while overlooking common, low-impact hazards. Despite its impact on search efficiency, the underlying cognitive mechanisms driving risk sensitivity in hybrid foraging are not well understood. This project aims to evaluate a new model of risk sensitivity in hybrid foraging to enhance search efficiency in complex real-world scenarios. We will use the model to develop new methods to help individuals improve their search strategies, thereby enhancing search efficiency. The project results will be communicated to relevant Australian government agencies and industry stakeholders, potentially leading to new ways of presenting search options when communicating with the public. This, in turn, will help communities become better equipped to adopt improved search strategies in everyday life. "}}}