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Peer-vasive computing : Leveraging peers to enhance the accuracy of self-reports in mobile human studies. / Berrocal, Allan; Wac, Katarzyna.
UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers. Association for Computing Machinery, 2018. s. 600-605.
Publikation: Bidrag til bog/antologi/rapport › Konferencebidrag i proceedings › Forskning › fagfællebedømt
Harvard
Berrocal, A
& Wac, K 2018,
Peer-vasive computing: Leveraging peers to enhance the accuracy of self-reports in mobile human studies. i
UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers. Association for Computing Machinery, s. 600-605, 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018, Singapore, Singapore,
08/10/2018.
https://doi.org/10.1145/3267305.3267542APA
Berrocal, A.
, & Wac, K. (2018).
Peer-vasive computing: Leveraging peers to enhance the accuracy of self-reports in mobile human studies. I
UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers (s. 600-605). Association for Computing Machinery.
https://doi.org/10.1145/3267305.3267542Vancouver
Berrocal A
, Wac K.
Peer-vasive computing: Leveraging peers to enhance the accuracy of self-reports in mobile human studies. I UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers. Association for Computing Machinery. 2018. s. 600-605
https://doi.org/10.1145/3267305.3267542Author
Berrocal, Allan ; Wac, Katarzyna. / Peer-vasive computing : Leveraging peers to enhance the accuracy of self-reports in mobile human studies. UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers. Association for Computing Machinery, 2018. s. 600-605
Bibtex
@inproceedings{17cf66c64beb4aeb9f54ac27b90aec3a,
title = "Peer-vasive computing: Leveraging peers to enhance the accuracy of self-reports in mobile human studies",
abstract = "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-Peer, a platform aiming to equip researchers with tools to assess and maintain the accuracy of the data collected by participants and peers during mobile human studies. We describe the state of the research and specific contributions.",
keywords = "Ecological Momentary Assessment, Observer's Assessment, Peer-ceived Momentary Assessment, Self-Assessment",
author = "Allan Berrocal and Katarzyna Wac",
year = "2018",
doi = "10.1145/3267305.3267542",
language = "English",
pages = "600--605",
booktitle = "UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers",
publisher = "Association for Computing Machinery",
note = "2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018 ; Conference date: 08-10-2018 Through 12-10-2018",
}
RIS
TY - GEN
T1 - Peer-vasive computing
T2 - 2018 Joint ACM International Conference on Pervasive and Ubiquitous Computing, UbiComp 2018 and 2018 ACM International Symposium on Wearable Computers, ISWC 2018
AU - Berrocal, Allan
AU - Wac, Katarzyna
PY - 2018
Y1 - 2018
N2 - 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-Peer, a platform aiming to equip researchers with tools to assess and maintain the accuracy of the data collected by participants and peers during mobile human studies. We describe the state of the research and specific contributions.
AB - 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-Peer, a platform aiming to equip researchers with tools to assess and maintain the accuracy of the data collected by participants and peers during mobile human studies. We describe the state of the research and specific contributions.
KW - Ecological Momentary Assessment
KW - Observer's Assessment
KW - Peer-ceived Momentary Assessment
KW - Self-Assessment
UR - http://www.scopus.com/inward/record.url?scp=85058283467&partnerID=8YFLogxK
U2 - 10.1145/3267305.3267542
DO - 10.1145/3267305.3267542
M3 - Article in proceedings
AN - SCOPUS:85058283467
SP - 600
EP - 605
BT - UbiComp/ISWC 2018 - Adjunct Proceedings of the 2018 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2018 ACM International Symposium on Wearable Computers
PB - Association for Computing Machinery
Y2 - 8 October 2018 through 12 October 2018
ER -
