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Artificial intelligence can predict your personality ... simply by tracking your eyes

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Developed by the University of South Australia in partnership with the University of Stuttgart, Flinders University and the Max Planck Institute for Informatics in Germany, the research uses state-of-the-art machine-learning algorithms to demonstrate a link between personality and eye movements. Findings show that people's eye movements reveal whether they are sociable, conscientious or curious, with the algorithm software reliably recognising four of the Big Five personality traits: neuroticism, extroversion, agreeableness, and conscientiousness. Researchers tracked the eye movements of 42 participants as they undertook everyday tasks around a university campus, and subsequently assessed their personality traits using well-established questionnaires. UniSA's Dr Tobias Loetscher says the study provides new links between previously under-investigated eye movements and personality traits and delivers important insights for emerging fields of social signal processing and social robotics. "There's certainly the potential for these findings to improve human-machine interactions," Dr Loetscher says.


Artificial intelligence can predict your personality… simply by tracking your eyes - GetSTEM

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It's often been said that the eyes are the window to the soul, revealing what we think and how we feel. Now, new research reveals that your eyes may also be an indicator of your personality type, simply by the way they move. Developed by the University of South Australia in partnership with the University of Stuttgart, Flinders University and the Max Planck Institute for Informatics in Germany, the research uses state-of-the-art machine-learning algorithms to demonstrate a link between personality and eye movements. Findings show that people's eye movements reveal whether they are sociable, conscientious or curious, with the algorithm software reliably recognising four of the Big Five personality traits: neuroticism, extroversion, agreeableness, and conscientiousness. Researchers tracked the eye movements of 42 participants as they undertook everyday tasks around a university campus, and subsequently assessed their personality traits using well-established questionnaires.


PhD Scholarship – Learning to sense: Next generation photonic sensors enabled by machine learning Job at University of South Australia in Adelaide, Australia

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Become an expert and make a difference to society. The University of South Australia (UniSA) is Australia's University of Enterprise. We are South Australia's largest university and one of the very best young universities in the world. At UniSA, we are authentic, resilient, and influential - and we deliver results. We pride ourselves on our dynamic and agile culture, which embraces challenges and thrives on breaking new ground.


Standard digital camera and AI to monitor soil moisture for affordable smart irrigation

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Researchers at UniSA have developed a cost-effective new technique to monitor soil moisture using a standard digital camera and machine learning technology. The United Nations predicts that by 2050 many areas of the planet may not have enough fresh water to meet the demands of agriculture if we continue our current patterns of use. One solution to this global dilemma is the development of more efficient irrigation, central to which is precision monitoring of soil moisture, allowing sensors to guide'smart' irrigation systems to ensure water is applied at the optimum time and rate. Current methods for sensing soil moisture are problematic – buried sensors are susceptible to salts in the substrate and require specialised hardware for connections, while thermal imaging cameras are expensive and can be compromised by climatic conditions such as sunlight intensity, fog, and clouds. Researchers from The University of South Australia and Baghdad's Middle Technical University have developed a cost-effective alternative that may make precision soil monitoring simple and affordable in almost any circumstance.


UniSA and UOW to jointly research AI capabilities for Defence

ZDNet

The University of South Australia (UniSA) and the University of Wollongong (UOW) will jointly conduct research into new data analytics and artificial intelligence (AI) capabilities for the Department of Defence. The two Australian universities have signed a memorandum of understanding to deliver new advances using AI and data analytics in the area of informed decision-making and the development of goal-oriented autonomous systems as part of the agreement. Specifically, the universities will focus on developing: High-level interactions between Defence systems to support battlefield decision making; autonomous systems that can think for themselves and operate in support of mission goals; information ecosystems that allow the integrated management of digital twins across the Defence asset lifecycle; self-aware software and cyber-physical systems that can autonomously assess mission alternatives and support high pressure, rapid decision making; and AI to support data analysis of the location and behavioural patterns of terrorist cells or adversary forces. UniSA defence and space director Matt Opie said combining the expertise of both universities would improve the quality, depth, and scope of the research delivered to Defence. "UniSA has key research capabilities in information ecosystems, data analytics, and the internet of military things to support a range of defence force requirements from battlefield decision making to military intelligence support systems," Opie said.