首页|Researchers from University of Deusto Discuss Findings in Machine Learning (Huma n-in-the-loop Machine Learning: Reconceptualizing the Role of the User In Intera ctive Approaches)
Researchers from University of Deusto Discuss Findings in Machine Learning (Huma n-in-the-loop Machine Learning: Reconceptualizing the Role of the User In Intera ctive Approaches)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news originating from Bilbao, Spain, by Ne wsRx correspondents, research stated, "The rise of intelligent systems and smart spaces has opened up new opportunities for human- machine collaborations. Inter active Machine Learning (IML) contribute to fostering such collaborations." Funders for this research include Basque Governments Department of Education, Sp ain, Ministry of Economy, Industry and Competitiveness of Spain for IoP, Europea n Commission through the AURORAL project. Our news journalists obtained a quote from the research from the University of D eusto, "Nonetheless, IML solutions tend to overlook critical factors such as the timing, frequency and workload that drive this interaction and are vital to ada pting these systems to users' goals and engagement. To address this gap, this wo rk explores users' expectations towards IML solutions in the context of an inter active hydration monitoring system for the workplace, which represents a challen ging environment to implement intelligent solutions that can collaborate with in dividuals. The proposed system involves users in the learning process by providi ng feedback on the success of detecting their drinking gestures and enabling the m to contribute with additional examples of their data. A qualitative study was conducted to evaluate this use case, where participants completed specific tasks with varying levels of involvement."
BilbaoSpainEuropeCyborgsEmerging TechnologiesMachine LearningUniversity of Deusto
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