Identifying Challenges and Opportunities for Intelligent Data-Driven Health Interfaces to Support Ongoing Care

Author:

Knoche Hendrik1ORCID,Abdul-Rahman Alfie2ORCID,Clark Leigh3ORCID,Curcin Vasa4ORCID,Huo Zhiqiang4ORCID,Iwaya Leonardo Horn5ORCID,Lemon Oliver6ORCID,Mikulík Robert7ORCID,Neate Timothy2ORCID,Roper Abi8ORCID,Skovfoged Milo Marsfeldt9ORCID,Verdezoto Nervo10ORCID,Wilson Stephanie11ORCID,Ziadeh Hamzah12ORCID

Affiliation:

1. Department of Architecture, Design and Media Technology, Aalborg University, Denmark

2. Department of Informatics, King's College London, United Kingdom

3. Bold Insight, UK, United Kingdom

4. School of Population Health and Environmental Sciences, King's College London, United Kingdom

5. Department of Mathematics and Computer Science, Karlstad University, Sweden

6. Heriot-Watt University, United Kingdom

7. First Department of Neurology, Masaryk University, Czech Republic

8. Centre for HCID, City, University of London, United Kingdom

9. Department of Architecture, Design, and Media Technology, Aalborg University, Denmark

10. School of Computer Science and Informatics, Cardiff University, United Kingdom

11. Centre for HCI Design, City, University of London, United Kingdom

12. Aalborg University, Denmark

Funder

Centre for Artificial Intelligence, Robotics, and Human-Machine Systems

European Regional Development Fund

NIHR Applied Research Collaboration

RES-Q plus

Region Varmland via the DigitalWell Arena

Publisher

ACM

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