Inviting Participants' Peers in a Mobile Assessment Study: An Empirical Investigation

Yu Lin Chang, Hao Ping Hank Lee, Yung Ju Chang, Chih Ya Shen

研究成果: Conference contribution同行評審

摘要

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.

原文English
主出版物標題Proceedings of MobileHCI 2021 - ACM International Conference on Mobile Human-Computer Interaction
主出版物子標題Mobile Apart, MobileTogether
發行者Association for Computing Machinery, Inc
ISBN(電子)9781450383288
DOIs
出版狀態Published - 27 9月 2021
事件23rd ACM International Conference on Mobile Human-Computer Interaction: Mobile Apart, MobileTogether, MobileHCI 2021 - Virtual, Online, France
持續時間: 27 9月 20211 10月 2021

出版系列

名字Proceedings of MobileHCI 2021 - ACM International Conference on Mobile Human-Computer Interaction: Mobile Apart, MobileTogether

Conference

Conference23rd ACM International Conference on Mobile Human-Computer Interaction: Mobile Apart, MobileTogether, MobileHCI 2021
國家/地區France
城市Virtual, Online
期間27/09/211/10/21

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