{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:28:46Z","timestamp":1750220926378,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":23,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,5,2]],"date-time":"2019-05-02T00:00:00Z","timestamp":1556755200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,5,2]]},"DOI":"10.1145\/3290607.3312873","type":"proceedings-article","created":{"date-parts":[[2019,4,30]],"date-time":"2019-04-30T15:55:05Z","timestamp":1556639705000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Exploring Machine Teaching for Object Recognition with the Crowd"],"prefix":"10.1145","author":[{"given":"Jonggi","family":"Hong","sequence":"first","affiliation":[{"name":"University of Maryland, College Park, MD, USA"}]},{"given":"Kyungjun","family":"Lee","sequence":"additional","affiliation":[{"name":"University of Maryland, College Park, MD, USA"}]},{"given":"June","family":"Xu","sequence":"additional","affiliation":[{"name":"University of Maryland, College Park, MD, USA"}]},{"given":"Hernisa","family":"Kacorri","sequence":"additional","affiliation":[{"name":"University of Maryland, College Park, MD, USA"}]}],"member":"320","published-online":{"date-parts":[[2019,5,2]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v35i4.2513"},{"key":"e_1_3_2_1_2_1","volume-title":"Using thematic analysis in psychology. Qualitative research in psychology 3, 2","author":"Braun Virginia","year":"2006","unstructured":"Virginia Braun and Victoria Clarke . 2006. Using thematic analysis in psychology. Qualitative research in psychology 3, 2 ( 2006 ), 77--101. Virginia Braun and Victoria Clarke. 2006. Using thematic analysis in psychology. Qualitative research in psychology 3, 2 (2006), 77--101."},{"key":"e_1_3_2_1_3_1","volume-title":"Amazon's Mechanical Turk: A new source of inexpensive, yet high-quality, data? Perspectives on psychological science 6, 1","author":"Buhrmester Michael","year":"2011","unstructured":"Michael Buhrmester , Tracy Kwang , and Samuel D Gosling . 2011. Amazon's Mechanical Turk: A new source of inexpensive, yet high-quality, data? Perspectives on psychological science 6, 1 ( 2011 ), 3--5. Michael Buhrmester, Tracy Kwang, and Samuel D Gosling. 2011. Amazon's Mechanical Turk: A new source of inexpensive, yet high-quality, data? Perspectives on psychological science 6, 1 (2011), 3--5."},{"key":"e_1_3_2_1_4_1","volume-title":"Imagenet: A large-scale hierarchical image database.","author":"Deng Jia","year":"2009","unstructured":"Jia Deng , Wei Dong , Richard Socher , Li-Jia Li , Kai Li , and Li Fei-Fei . 2009 . Imagenet: A large-scale hierarchical image database. (2009). Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei. 2009. Imagenet: A large-scale hierarchical image database. (2009)."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2013.12.010"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2011.5995444"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1978942.1978965"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3264921"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/1753326.1753357"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741102"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA.2015.7139281"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3167902.3167904"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3025453.3025899"},{"key":"e_1_3_2_1_14_1","unstructured":"Google Creative Lab. 2017. Teachable machine. https:\/\/experiments.withgoogle.com\/teachable-machine  Google Creative Lab. 2017. Teachable machine. https:\/\/experiments.withgoogle.com\/teachable-machine"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300566"},{"key":"e_1_3_2_1_16_1","volume-title":"Conducting behavioral research on Amazon's Mechanical Turk. Behavior research methods 44, 1","author":"Mason Winter","year":"2012","unstructured":"Winter Mason and Siddharth Suri . 2012. Conducting behavioral research on Amazon's Mechanical Turk. Behavior research methods 44, 1 ( 2012 ), 1--23. Winter Mason and Siddharth Suri. 2012. Conducting behavioral research on Amazon's Mechanical Turk. Behavior research methods 44, 1 (2012), 1--23."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1038\/nrn1364"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"e_1_3_2_1_20_1","volume-title":"arXiv preprint arXiv:1808.09123","author":"Tan Sarah","year":"2018","unstructured":"Sarah Tan , Julius Adebayo , Kori Inkpen , and Ece Kamar . 2018. Investigating Human+ Machine Complementarity for Recidivism Predictions . arXiv preprint arXiv:1808.09123 ( 2018 ). Sarah Tan, Julius Adebayo, Kori Inkpen, and Ece Kamar. 2018. Investigating Human+ Machine Complementarity for Recidivism Predictions. arXiv preprint arXiv:1808.09123 (2018)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/1514095.1514101"},{"key":"e_1_3_2_1_22_1","first-page":"1","article-title":"Making Better Use of the Crowd: How Crowdsourcing Can Advance Machine Learning Research","volume":"18","author":"Vaughan Jennifer Wortman","year":"2018","unstructured":"Jennifer Wortman Vaughan . 2018 . Making Better Use of the Crowd: How Crowdsourcing Can Advance Machine Learning Research . Journal of Machine Learning Research 18 , 193 (2018), 1 -- 46 . Jennifer Wortman Vaughan. 2018. Making Better Use of the Crowd: How Crowdsourcing Can Advance Machine Learning Research. Journal of Machine Learning Research 18, 193 (2018), 1--46.","journal-title":"Journal of Machine Learning Research"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3196709.3196729"}],"event":{"name":"CHI '19: CHI Conference on Human Factors in Computing Systems","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"],"location":"Glasgow Scotland Uk","acronym":"CHI '19"},"container-title":["Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3290607.3312873","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3290607.3312873","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:53:13Z","timestamp":1750204393000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3290607.3312873"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,5,2]]},"references-count":23,"alternative-id":["10.1145\/3290607.3312873","10.1145\/3290607"],"URL":"https:\/\/doi.org\/10.1145\/3290607.3312873","relation":{},"subject":[],"published":{"date-parts":[[2019,5,2]]},"assertion":[{"value":"2019-05-02","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}