Fangmeier, Melissa L.Noble, Daniel W. A.O'Dea, Rose E.Usui, TakujiLagisz, M.Hesselson, DanielNakagawa, Shinichi2021-08-09Melissa L. Fangmeier, Daniel W.A. Noble, Rose E. O'Dea, Takuji Usui, Malgorzata Lagisz, Daniel Hesselson, and Shinichi Nakagawa.Zebrafish.Apr 2018.206-210.http://doi.org/10.1089/zeb.2017.15321545-8547http://hdl.handle.net/1885/243294An emergent field of animal personality necessitates a method for repeated high-throughput quantification of behavioral traits across contexts. In this study, we have developed an automated video stimulus approach to sequentially present different contexts relevant to five "personality" traits (exploration, boldness, neophobia, aggression, and sociability), successfully quantifying repeatable trait measurements in multiple individuals simultaneously. Although our method is designed to quantify personality traits in zebrafish, our approach can accommodate the quantification of other behaviors, and could be customized for other species. All digital materials and detailed protocols are publicly available online for researchers to freely use and modify.SN is supported by Future Fellowship (FT130100268). DN was supported by an ARC Discovery Early Career Research Award (DE150101774) and a UNSW VC Research Fellowship. DH was supported by NHMRC Project Grants (GNT1063981 and GNT1130222).© 2018 Mary Ann Liebert, Inc.behavioral phenotypingautomationanimal personalityconsistencyComputer Animation Technology in Behavioral Sciences: A Sequential, Automatic, and High-Throughput roach to Quantifying Personality in Zebrafish2018-04-0110.1089/zeb.2017.1532