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020 ▼a 9780438176683
035 ▼a (MiAaPQ)AAI10828281
035 ▼a (MiAaPQ)washington:18784
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 248032
0491 ▼f DP
0820 ▼a 004
1001 ▼a Bragg, Danielle.
24510 ▼a Expanding Information Access through Data-Driven Design.
260 ▼a [S.l.] : ▼b University of Washington., ▼c 2018
260 1 ▼a Ann Arbor : ▼b ProQuest Dissertations & Theses, ▼c 2018
300 ▼a 165 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: Richard Ladner.
5021 ▼a Thesis (Ph.D.)--University of Washington, 2018.
520 ▼a Computer scientists have made progress on many problems in information access: curating large datasets, developing machine learning and computer vision, building extensive networks, and designing powerful interfaces and graphics. However, we som
520 ▼a This dissertation demonstrates this potential for expanded access through four systems I built as a Ph.D. student: 1) Smartfonts (Chapter 3), scripts that reimagine the alphabet's appearance to improve legibility and enrich text displays, levera
590 ▼a School code: 0250.
650 4 ▼a Computer science.
650 4 ▼a Information science.
690 ▼a 0984
690 ▼a 0723
71020 ▼a University of Washington. ▼b Computer Science and Engineering.
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0250
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14999144 ▼n KERIS
980 ▼a 201812 ▼f 2019
990 ▼a 관리자 ▼b 정현우