Project description DEENESFRITPL Game-based technologies to scale innovation European business investment in AI applications has long been sub-optimal due to limited capability and know-how. This has just recently been identified by the EU Commission as a key focus area for coordinated action and investment. The EU-funded AUGMENTED-HUMANS project will provide for a key opportunity to take a human-centred approach to building AI applications that incorporate game-based technologies that have shown great empirical and anecdotal promise in creating AI applications that drive business innovation. The project will focus, among others, on game-based technologies as mediators of engaging interactions. Show the project objective Hide the project objective Objective The rise of artificial intelligence is driving the fourth industrial revolution and is steadily disrupting traditional business models, workplace practices and performance management. Despite the astonishing rate of progress with AI technology, problems and challenges in the current business environment cannot be solved by machines alone and require robust human-machine hybrid solutions; however these are still largely experimental with limited business adoption . A further challenge is that European business investment in AI applications has been sub-optimal due to limited capability and know-how and this has just recently been identified by the EU Commission as a key focus area for co-ordinated action and investment . This proposal highlights a key opportunity to take a human-centred approach to building AI applications that incorporate game-based technologies that have shown great empirical and anecdotal promise in creating AI applications that drive business innovation. To address the challenges of the efficacy of human-machine interactions and AI adoption, in Augmented-Humans I will investigate how we can use game-based technologies (games, gamification, virtual and augmented reality) as mediators of engaging interactions and problem solving between human and machine that generate data, develop insights, facilitate business problem solving, and aid both human and machine learning. The outputs of this project will include the development of reusable game-based technology toolkits and applications for (a) Business systems for end-user engagement, stakeholder collaboration and robust decision support systems, (b) AI engineering and data science in utilising game-based technologies for data generation, machine learning, and developing human-machine collaboration systems for problem solving (e.g. ‘citizen science’ games), and (c) Public engagement applications that engage the public with AI meta issues of usability, awareness, trust and participation. Fields of science social sciencespolitical sciencespolitical transitionsrevolutionssocial scienceseconomics and businessbusiness and managementbusiness modelssocial sciencespolitical sciencespolitical policiescivil societynatural sciencescomputer and information sciencesartificial intelligencemachine learningnatural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software Programme(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Topic(s) MSCA-IF-2020 - Individual Fellowships Call for proposal H2020-MSCA-IF-2020 See other projects for this call Funding Scheme MSCA-IF-EF-CAR - CAR – Career Restart panel Coordinator TAMPEREEN KORKEAKOULUSAATIO SR Net EU contribution € 202 680,96 Address Kalevantie 4 33100 Tampere Finland See on map Region Manner-Suomi Länsi-Suomi Pirkanmaa Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Other funding € 0,00
