Enhanced Family Tree

Evolving Research and Expression: Best Paper Award

Bibliographic Data

ID10273641
AuthorsFan Xiang (0000-0003-1177-4602, Department of Visual Communication Academy of Arts and Design Tsinghua University Beijing 100084, China), Xiang Fan (0000-0001-7697-0378, Tsinghua University, corresponding author), Shunshan Zhu (Z Lab, Beijing 100084, China, corresponding author), Zhigang Wang (0000-0002-6818-2205, Department of Information Art and Design Academy of Arts and Design Tsinghua University Beijing 100084, China, corresponding author), Kevin Maher (0000-0002-6486-4866, Department of Visual Communication Academy of Arts and Design Tsinghua University Beijing 100084, China, corresponding author), Yi Liu (0000-0001-7733-3290, Department of Visual Communication Academy of Arts and Design Tsinghua University Beijing 100084, China, corresponding author), Yilin Zhu (0000-0002-1721-545X, Department of Computer Science Stanford University Stanford, CA 94305, U.S.A., corresponding author), Kaixi Chen (0000-0003-1561-9546, Beijing Yuguo Culture and Technology Ltd. Inc. Beijing 100086, China, corresponding author), Zhiqiang Liang (0000-0003-4473-8544, Department of Visual Communication Academy of Arts and Design Tsinghua University Beijing 100084, China, corresponding author)
Year2020
Volume53
Issue4
Pages367-373
Publication date2020-07-01
Open AccessNo
TypeARTICLE
VenueLeonardo (JOURNAL)
Journal identifiersISSN: 0024-094X • E-ISSN: 1530-9282
PublisherMIT Press - Journals (PUBLISHER)
DOI10.1162/leon_a_01921
OpenAlexW3048355691
LanguageEN
References cited1

Enhanced Family Tree reimagines the possibilities of family trees with an evolving series of exhibits. The authors’ works combine genealogical data, visualization, 3D technologies and interactivity to explore and display ancient genealogical relationships. Their new approach may reveal questionable relationships in genealogical records. Moreover, the authors’ use of an organic metaphor of a “tree” can be further extended to increase public understanding and engagement. The audience's questions arising from this project show increased curiosity and nuanced questioning about their own family origins and development

Curiosity · Expression (computer science) · Family tree · Genealogy · Interactivity · Linguistics · Metaphor · Tree (set theory) · Visualization · World Wide Web · Artificial Intelligence · Computer Science · Data Visualization and Analytics · History · Mathematics · Psychology · Social Psychology · Species Distribution and Climate Change

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