{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T01:41:40Z","timestamp":1755826900197,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":26,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,3,11]],"date-time":"2024-03-11T00:00:00Z","timestamp":1710115200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100006374","name":"National Science Foundation","doi-asserted-by":"publisher","award":["DGE-1842487"],"award-info":[{"award-number":["DGE-1842487"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,3,11]]},"DOI":"10.1145\/3610978.3640745","type":"proceedings-article","created":{"date-parts":[[2024,3,10]],"date-time":"2024-03-10T22:55:43Z","timestamp":1710111343000},"page":"392-396","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Using Exploratory Search to Learn Representations for Human Preferences"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7540-1402","authenticated-orcid":false,"given":"Nathaniel Steele","family":"Dennler","sequence":"first","affiliation":[{"name":"University of Southern California, Los Angeles, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8617-3871","authenticated-orcid":false,"given":"Stefanos","family":"Nikolaidis","sequence":"additional","affiliation":[{"name":"University of Southern California, Los Angeles, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8958-6666","authenticated-orcid":false,"given":"Maja","family":"Mataric","sequence":"additional","affiliation":[{"name":"University of Southern California, Los Angeles, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,3,11]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2157689.2157815"},{"key":"e_1_3_2_2_2_1","volume-title":"Mostofa Najmus Sakib, Jerry Alan Fails, Casey Kennington, Katherine Landau Wright, and Maria Soledad Pera.","author":"Allen Garrett","year":"2021","unstructured":"Garrett Allen, Benjamin L Peterson, Dhanush Kumar Ratakonda, Mostofa Najmus Sakib, Jerry Alan Fails, Casey Kennington, Katherine Landau Wright, and Maria Soledad Pera. 2021. Engage!: co-designing search engine result pages to foster interactions. In Interaction Design and Children, 583--587."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1002\/asi.23617"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3171221.3171267"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3568162.3576989"},{"key":"e_1_3_2_2_6_1","unstructured":"Oliver Bown Sam Ferguson Liam Bray Angelo Fraietta and Lian Loke. 2019. Facilitating creative exploratory search with multiple networked audio devices using happybrackets. In New Interfaces for Musical Expression. NIME."},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"crossref","unstructured":"Ralph Allan Bradley and Milton E Terry. 1952. Rank analysis of incomplete block designs: i. the method of paired comparisons. Biometrika 39 3\/4 324--345.","DOI":"10.1093\/biomet\/39.3-4.324"},{"key":"e_1_3_2_2_8_1","volume-title":"International Conference on Machine Learning. PMLR, 1165--1177","author":"Brown Daniel","year":"2020","unstructured":"Daniel Brown, Russell Coleman, Ravi Srinivasan, and Scott Niekum. 2020. Safe imitation learning via fast bayesian reward inference from preferences. In International Conference on Machine Learning. PMLR, 1165--1177."},{"key":"e_1_3_2_2_9_1","volume-title":"International conference on machine learning. PMLR, 783--792","author":"Brown Daniel","year":"2019","unstructured":"Daniel Brown, Wonjoon Goo, Prabhat Nagarajan, and Scott Niekum. 2019. Extrapolating beyond suboptimal demonstrations via inverse reinforcement learning from observations. In International conference on machine learning. PMLR, 783--792."},{"key":"e_1_3_2_2_10_1","first-page":"8","article-title":"The caresses eu-japan project: making assistive robots culturally competent","volume":"2017","author":"Barbara Bruno","year":"2019","unstructured":"Barbara Bruno et al. 2019. The caresses eu-japan project: making assistive robots culturally competent. In Ambient Assisted Living: Italian Forum 2017 8. Springer, 151--169.","journal-title":"Ambient Assisted Living: Italian Forum"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7353970"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3301275.3302321"},{"key":"e_1_3_2_2_13_1","volume-title":"Experimental Robotics: The 18th International Symposium. Springer.","author":"Dennler Nathaniel","year":"2023","unstructured":"Nathaniel Dennler, David Delgado, Daniel Zeng, Stefanos Nikolaidis, and Maja J Mataric. 2023. The rosid tool: empowering users to design multimodal signals for human-robot collaboration. In Experimental Robotics: The 18th International Symposium. Springer."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"crossref","unstructured":"Johannes F\u00fcrnkranz Eyke H\u00fcllermeier Weiwei Cheng and Sang-Hyeun Park. 2012. Preference-based reinforcement learning: a formal framework and a policy iteration algorithm. Machine learning 89 123--156.","DOI":"10.1007\/s10994-012-5313-8"},{"key":"e_1_3_2_2_15_1","first-page":"4415","article-title":"Reward-rational (implicit) choice: a unifying formalism for reward learning","volume":"33","author":"Jeon Hong Jun","year":"2020","unstructured":"Hong Jun Jeon, Smitha Milli, and Anca Dragan. 2020. Reward-rational (implicit) choice: a unifying formalism for reward learning. Advances in Neural Information Processing Systems, 33, 4415--4426.","journal-title":"Advances in Neural Information Processing Systems"},{"volume-title":"Exploratory search: a critical analysis of the theoretical foundations, system features, and research trends","author":"Jiang Tingting","key":"e_1_3_2_2_16_1","unstructured":"Tingting Jiang. 2014. Exploratory search: a critical analysis of the theoretical foundations, system features, and research trends. Library and information sciences: Trends and research, 79--103."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"crossref","unstructured":"William R King and Jun He. 2006. A meta-analysis of the technology acceptance model. Information & management 43 6 740--755.","DOI":"10.1016\/j.im.2006.05.003"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"crossref","unstructured":"Paul Legris John Ingham and Pierre Collerette. 2003. Why do people use information technology? a critical review of the technology acceptance model. Information & management 40 3 191--204.","DOI":"10.1016\/S0378-7206(01)00143-4"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/1121949.1121979"},{"key":"e_1_3_2_2_20_1","first-page":"2","article-title":"Algorithms for inverse reinforcement learning","volume":"1","author":"Ng Andrew Y","year":"2000","unstructured":"Andrew Y Ng, Stuart Russell, et al. 2000. Algorithms for inverse reinforcement learning. In Icml. Vol. 1, 2.","journal-title":"Icml."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1002\/pra2.271"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442620"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"crossref","unstructured":"Dorsa Sadigh Anca D Dragan Shankar Sastry and Sanjit A Seshia. 2017. Active preference-based learning of reward functions.","DOI":"10.15607\/RSS.2017.XIII.053"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2012.2189916"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1145\/3415247"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1007\/s43154-020-00019-0"}],"event":{"name":"HRI '24: ACM\/IEEE International Conference on Human-Robot Interaction","sponsor":["SIGAI ACM Special Interest Group on Artificial Intelligence","SIGCHI ACM Special Interest Group on Computer-Human Interaction"],"location":"Boulder CO USA","acronym":"HRI '24"},"container-title":["Companion of the 2024 ACM\/IEEE International Conference on Human-Robot Interaction"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3610978.3640745","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3610978.3640745","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T01:16:19Z","timestamp":1755825379000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3610978.3640745"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,3,11]]},"references-count":26,"alternative-id":["10.1145\/3610978.3640745","10.1145\/3610978"],"URL":"https:\/\/doi.org\/10.1145\/3610978.3640745","relation":{},"subject":[],"published":{"date-parts":[[2024,3,11]]},"assertion":[{"value":"2024-03-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}