TY - GEN
T1 - Inviting Participants' Peers in a Mobile Assessment Study
T2 - 23rd ACM International Conference on Mobile Human-Computer Interaction: Mobile Apart, MobileTogether, MobileHCI 2021
AU - Chang, Yu Lin
AU - Lee, Hao Ping Hank
AU - Chang, Yung Ju
AU - Shen, Chih Ya
N1 - Publisher Copyright:
© 2021 ACM.
PY - 2021/9/27
Y1 - 2021/9/27
N2 - Mobile assessment is commonly adopted to obtain information about individuals' statuses, but is limited by the participants' receptivity to assessment prompts. This study explores the feasibility of participants in such studies recruiting their peers to help report their locations, activities, and emotions. Over a two-week period, 15 main participants and a total of 82 of their peers collaboratively provided mobile assessments. We showed that when the main participants were not receptive to assessment prompts, their peers provided the requested information in 96% of cases, with 42% of the time feeling confident in their assessments. However, the peers' levels of confidence and agreement with one another both varied by assessment-question type. Location information was provided the most confidently, but the latter was most likely to agree with the participants' own assessment. We also discuss matrices, including of agreement rate and peer numbers, that future peer-assisted mobile-assessment research should consider.
AB - Mobile assessment is commonly adopted to obtain information about individuals' statuses, but is limited by the participants' receptivity to assessment prompts. This study explores the feasibility of participants in such studies recruiting their peers to help report their locations, activities, and emotions. Over a two-week period, 15 main participants and a total of 82 of their peers collaboratively provided mobile assessments. We showed that when the main participants were not receptive to assessment prompts, their peers provided the requested information in 96% of cases, with 42% of the time feeling confident in their assessments. However, the peers' levels of confidence and agreement with one another both varied by assessment-question type. Location information was provided the most confidently, but the latter was most likely to agree with the participants' own assessment. We also discuss matrices, including of agreement rate and peer numbers, that future peer-assisted mobile-assessment research should consider.
KW - Data Quality
KW - Data Quantity
KW - Mobile Assessment
UR - http://www.scopus.com/inward/record.url?scp=85117329633&partnerID=8YFLogxK
U2 - 10.1145/3447526.3472021
DO - 10.1145/3447526.3472021
M3 - Conference contribution
AN - SCOPUS:85117329633
T3 - Proceedings of MobileHCI 2021 - ACM International Conference on Mobile Human-Computer Interaction: Mobile Apart, MobileTogether
BT - Proceedings of MobileHCI 2021 - ACM International Conference on Mobile Human-Computer Interaction
PB - Association for Computing Machinery, Inc
Y2 - 27 September 2021 through 1 October 2021
ER -