Peer-vasive computing: Leveraging peers to enhance the accuracy of self-reports in mobile human studies

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 -