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008181129s2018 |||||||||||||||||c||eng d
020 ▼a 9780438324138
035 ▼a (MiAaPQ)AAI10809956
035 ▼a (MiAaPQ)berkeley:17744
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0820 ▼a 658
1001 ▼a Zhou, Mo.
24510 ▼a Human Behavior Modeling and Incentive Design for Online Platforms.
260 ▼a [S.l.] : ▼b University of California, Berkeley., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 108 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 80-01(E), Section: B.
500 ▼a Adviser: Ken Goldberg.
5021 ▼a Thesis (Ph.D.)--University of California, Berkeley, 2018.
520 ▼a This dissertation focuses on human behavior modeling and incentive designs for online platforms, specifically in two application domains: collective intelligence platforms and healthcare intervention platforms. In the last two decades, wide adop
520 ▼a In the first part of this dissertation, I present two collective intelligence platforms: M-CAFE and DebateCAFE. M-CAFE is a mobile-friendly platform that encourages students to check in weekly to numerically assess their course performance, prov
520 ▼a In the second part of this dissertation, I describe a novel mobile phone application (app) called CalFit and introduce the Discontinuation Prediction Score (DiPS) for non-adherence prediction. CalFit implements important behavior-change features
590 ▼a School code: 0028.
650 4 ▼a Operations research.
650 4 ▼a Public health.
690 ▼a 0796
690 ▼a 0573
71020 ▼a University of California, Berkeley. ▼b Industrial Engineering & Operations Research.
7730 ▼t Dissertation Abstracts International ▼g 80-01B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0028
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997916 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자