Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Peer-ceived momentary assessment"'
Autor:
Katarzyna Wac, Allan Berrocal
Publikováno v:
FNC/MobiSPC
Procedia Computer Science, Vol. 175 (2020) pp. 205-213
Procedia Computer Science, Vol. 175 (2020) pp. 205-213
This paper examines the predictive value of peer’s observations of an individual, applied to computational models of certain states of that individual. In a study of 28 days, 13 participants provided self-assessments about their level of stress, fa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c4c147bccdd33fb517d1724a48bac16
https://doi.org/10.1016/j.procs.2020.07.031
https://doi.org/10.1016/j.procs.2020.07.031
Publikováno v:
JMIR mHealth and uHealth, Vol 8, Iss 8, p e15947 (2020)
JMIR mHealth and uHealth
JMIR mHealth and uHealth, Vol. 8, No 8 (2020) P. e15947
Berrocal, A, Concepcion, W, De Dominicis, S & Wac, K 2020, ' Complementing human behavior assessment by leveraging personal ubiquitous devices and social links: An evaluation of the peerceived momentary assessment method ', JMIR mHealth and uHealth, vol. 8, no. 8, e15947 . https://doi.org/10.2196/15947
JMIR mHealth and uHealth
JMIR mHealth and uHealth, Vol. 8, No 8 (2020) P. e15947
Berrocal, A, Concepcion, W, De Dominicis, S & Wac, K 2020, ' Complementing human behavior assessment by leveraging personal ubiquitous devices and social links: An evaluation of the peerceived momentary assessment method ', JMIR mHealth and uHealth, vol. 8, no. 8, e15947 . https://doi.org/10.2196/15947
BackgroundEcological momentary assessment (EMA) enables individuals to self-report their subjective momentary physical and emotional states. However, certain conditions, including routine observable behaviors (eg, moods, medication adherence) as well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99f4ec03c2b744fee733aeac617ef5ee
https://mhealth.jmir.org/2020/8/e15947
https://mhealth.jmir.org/2020/8/e15947
The Ecological Momentary Assessment (EMA) method is used to repeatedly collect an individual's momentary self-assessments of states (e.g., stress, depression), along other data streams from smartphone sensors and wearable devices. But sometimes indiv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be3bfa2079153ed27487b183f1c5e520
Autor:
Katarzyna Wac, Allan Berrocal
Publikováno v:
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers-UbiComp 18
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers -UbiComp '18
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers
Proceedings of the 2018 acm international joint conference and 2018 international symposium on pervasive and ubiquitous computing and wearable computers
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers-UbiComp '18
Proceedings of the 2018 acm international joint conference and 2018 international symposium on pervasive and ubiquitous computing and wearable computers pp. 600-605
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers -UbiComp '18
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers
Proceedings of the 2018 acm international joint conference and 2018 international symposium on pervasive and ubiquitous computing and wearable computers
Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers-UbiComp '18
Proceedings of the 2018 acm international joint conference and 2018 international symposium on pervasive and ubiquitous computing and wearable computers pp. 600-605
We discuss two methods designed to increase the accuracy of human-labeled data. First, Peer-ceived Momentary Assessment (Peer-MA), a novel data collection method inspired by the concept of Observer Reported Outcomes in clinical care. Second, mQoL-Pee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4d6f8b9b697a3e3c55c530c226b6437
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Conference
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Conference
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.