Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Alessio Bonti"'
Publikováno v:
IEEE Access, Vol 11, Pp 84200-84213 (2023)
Mobile health (mHealth) applications rely on personal data visualisations to promote user adoption and engagement. To ensure the success of these applications, it is crucial to understand user requirements when utilising these visualisations. This st
Externí odkaz:
https://doaj.org/article/fd26efc1d8974888bd3323c81d95be6f
Publikováno v:
IEEE Access, Vol 11, Pp 19876-19891 (2023)
Mobile health (mHealth) applications have become ubiquitous and have enabled self-monitoring to help provide better health outcomes. However, the wide availability of mHealth apps introduces new challenges when users need to download and use several
Externí odkaz:
https://doaj.org/article/95923ba514e4455aae511e9f77f9b0a2
Publikováno v:
JMIR mHealth and uHealth, Vol 10, Iss 3, p e30468 (2022)
BackgroundThere has been a steady rise in the availability of health wearables and built-in smartphone sensors that can be used to collect health data reliably and conveniently from end users. Given the feature overlaps and user tendency to use sever
Externí odkaz:
https://doaj.org/article/6c327a777d40453baf9fcdf54b630b1e
Publikováno v:
2023 IEEE International Conference on Big Data and Smart Computing (BigComp).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81978e002e1afa65bd2967fb942fc033
https://doi.org/10.1109/bigcomp57234.2023.00058
https://doi.org/10.1109/bigcomp57234.2023.00058
Publikováno v:
Proceedings of the 18th International Conference on Evaluation of Novel Approaches to Software Engineering.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4da95841bf5267ebd244b8caafdfe18f
https://doi.org/10.5220/0011985600003464
https://doi.org/10.5220/0011985600003464
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030980047
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f9d035bcde3520917eb93b0699a6f9e0
https://doi.org/10.1007/978-3-030-98005-4_20
https://doi.org/10.1007/978-3-030-98005-4_20
Publikováno v:
Studies in Computational Intelligence ISBN: 9783030931186
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40669d0d9b85a77e1763fc78d8efb6f2
https://doi.org/10.1007/978-3-030-93119-3_26
https://doi.org/10.1007/978-3-030-93119-3_26
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030980047
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fbab5ac5dbea496ba4485520b3842fa
https://doi.org/10.1007/978-3-030-98005-4_17
https://doi.org/10.1007/978-3-030-98005-4_17
Publikováno v:
Expert Systems with Applications. 203:117393
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75efad5a63ea3e9e8b630f169e923160
https://doi.org/10.1016/j.eswa.2022.117393
https://doi.org/10.1016/j.eswa.2022.117393
BACKGROUND There has been a steady rise in the availability of health wearables and built-in smartphone sensors that can be used to collect health data reliably and conveniently from end users. Given the feature overlaps and user tendency to use seve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc03ef33e56bc277fd82e9340e5154cd
https://doi.org/10.2196/preprints.30468
https://doi.org/10.2196/preprints.30468