{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T05:00:28Z","timestamp":1750309228320,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,5,11]],"date-time":"2024-05-11T00:00:00Z","timestamp":1715385600000},"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":[[2024,5,11]]},"DOI":"10.1145\/3613905.3650817","type":"proceedings-article","created":{"date-parts":[[2024,5,11]],"date-time":"2024-05-11T08:15:21Z","timestamp":1715415321000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["GHOJA: Human-in-the-Loop Joint Pose Optimization based on Geometric Constraint and Human Common-sense"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3843-7542","authenticated-orcid":false,"given":"Daichi","family":"Saito","sequence":"first","affiliation":[{"name":"Preferred Networks, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-8656-5122","authenticated-orcid":false,"given":"Masashi","family":"Shibata","sequence":"additional","affiliation":[{"name":"Preferred Networks, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5843-482X","authenticated-orcid":false,"given":"Yunzhuo","family":"Wang","sequence":"additional","affiliation":[{"name":"Preferred Networks, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5495-6441","authenticated-orcid":false,"given":"Takeo","family":"Igarashi","sequence":"additional","affiliation":[{"name":"Preferred Networks, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-6054-8471","authenticated-orcid":false,"given":"Keita","family":"Higuchi","sequence":"additional","affiliation":[{"name":"Preferred Networks, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,5,11]]},"reference":[{"volume-title":"Vol.\u00a02","author":"Auger Anne","key":"e_1_3_3_3_1_1","unstructured":"Anne Auger and Nikolaus Hansen. 2005. A restart CMA evolution strategy with increasing population size. In 2005 IEEE congress on evolutionary computation, Vol.\u00a02. IEEE, 1769\u20131776."},{"key":"e_1_3_3_3_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA46639.2022.9811809"},{"key":"e_1_3_3_3_3_1","volume-title":"Active preference learning with discrete choice data. Advances in neural information processing systems 20","author":"Eric Brochu","year":"2007","unstructured":"Brochu Eric, Nando Freitas, and Abhijeet Ghosh. 2007. Active preference learning with discrete choice data. Advances in neural information processing systems 20 (2007)."},{"key":"e_1_3_3_3_4_1","volume-title":"Nerf: Neural radiance field in 3d vision, a comprehensive review. arXiv preprint arXiv:2210.00379","author":"Gao Kyle","year":"2022","unstructured":"Kyle Gao, Yina Gao, Hongjie He, Denning Lu, Linlin Xu, and Jonathan Li. 2022. Nerf: Neural radiance field in 3d vision, a comprehensive review. arXiv preprint arXiv:2210.00379 (2022)."},{"key":"e_1_3_3_3_5_1","first-page":"67","article-title":"The theory of affordances","volume":"1","author":"Gibson J","year":"1977","unstructured":"James\u00a0J Gibson. 1977. The theory of affordances. Hilldale, USA 1, 2 (1977), 67\u201382.","journal-title":"Hilldale, USA"},{"key":"e_1_3_3_3_6_1","volume-title":"International Conference on Machine Learning. PMLR, 1282\u20131291","author":"Gonz\u00e1lez Javier","year":"2017","unstructured":"Javier Gonz\u00e1lez, Zhenwen Dai, Andreas Damianou, and Neil\u00a0D Lawrence. 2017. Preferential bayesian optimization. In International Conference on Machine Learning. PMLR, 1282\u20131291."},{"key":"e_1_3_3_3_7_1","volume-title":"Registering Articulated Objects With Human-in-the-loop Corrections. In 2022 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2343\u20132350","author":"Hagenow Michael","year":"2022","unstructured":"Michael Hagenow, Emmanuel Senft, Evan Laske, Kimberly Hambuchen, Terrence Fong, Robert Radwin, Michael Gleicher, Bilge Mutlu, and Michael Zinn. 2022. Registering Articulated Objects With Human-in-the-loop Corrections. In 2022 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, 2343\u20132350."},{"key":"e_1_3_3_3_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/3072959.3092817"},{"key":"e_1_3_3_3_9_1","volume-title":"Random restarts in global optimization","author":"Hu Xiaohua","year":"1994","unstructured":"Xiaohua Hu, Ronald Shonkwiler, and Marcus\u00a0C Spruill. 1994. Random restarts in global optimization. Georgia Institute of technology, Atlanta (1994)."},{"key":"e_1_3_3_3_10_1","doi-asserted-by":"publisher","DOI":"10.1177\/02783649231212929"},{"key":"e_1_3_3_3_11_1","volume-title":"Conference on Robot Learning. PMLR, 1611\u20131621","author":"Jain Ajinkya","year":"2022","unstructured":"Ajinkya Jain, Stephen Giguere, Rudolf Lioutikov, and Scott Niekum. 2022. Distributional depth-based estimation of object articulation models. In Conference on Robot Learning. PMLR, 1611\u20131621."},{"key":"e_1_3_3_3_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48506.2021.9561132"},{"key":"e_1_3_3_3_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3526113.3545664"},{"key":"e_1_3_3_3_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3386569.3392444"},{"key":"e_1_3_3_3_15_1","volume-title":"Proceedings, Part VI 16","author":"Li Yichen","year":"2020","unstructured":"Yichen Li, Kaichun Mo, Lin Shao, Minhyuk Sung, and Leonidas Guibas. 2020. Learning 3d part assembly from a single image. In Computer Vision\u2013ECCV 2020: 16th European Conference, Glasgow, UK, August 23\u201328, 2020, Proceedings, Part VI 16. Springer, 664\u2013682."},{"key":"e_1_3_3_3_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01439"},{"key":"e_1_3_3_3_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3138644"},{"key":"e_1_3_3_3_18_1","volume-title":"2nd Robot Teammates Operating in Dynamic, Unstructured Environments (RT-DUNE)","author":"Masnadi Sina","year":"2019","unstructured":"Sina Masnadi, JJ LaViola, Jana Pavlasek, Xiaofan Zhu, Karthik Desingh, and Odest\u00a0Chadwicke Jenkins. 2019. Sketching affordances for human-in-the-loop robotic manipulation tasks. 2nd Robot Teammates Operating in Dynamic, Unstructured Environments (RT-DUNE) (2019)."},{"key":"e_1_3_3_3_19_1","volume-title":"Proceedings of Graphics Interface 2020","author":"Masnadi Sina","year":"2020","unstructured":"Sina Masnadi, A Vargas, Brian Williamson, and Joseph LaViola. 2020. Affordit!: A tool for authoring object component behavior in virtual reality. Proceedings of Graphics Interface 2020 (2020)."},{"key":"e_1_3_3_3_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3503250"},{"key":"e_1_3_3_3_21_1","volume-title":"Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes. arXiv preprint arXiv:2302.01513","author":"Takeno Shion","year":"2023","unstructured":"Shion Takeno, Masahiro Nomura, and Masayuki Karasuyama. 2023. Towards Practical Preferential Bayesian Optimization with Skew Gaussian Processes. arXiv preprint arXiv:2302.01513 (2023)."},{"key":"e_1_3_3_3_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICRA48891.2023.10160982"},{"key":"e_1_3_3_3_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3544548.3580776"},{"key":"e_1_3_3_3_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3526113.3545690"}],"event":{"name":"CHI '24: CHI Conference on Human Factors in Computing Systems","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGACCESS ACM Special Interest Group on Accessible Computing"],"location":"Honolulu HI USA","acronym":"CHI '24"},"container-title":["Extended Abstracts of the CHI Conference on Human Factors in Computing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3613905.3650817","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3613905.3650817","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T23:44:17Z","timestamp":1750290257000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3613905.3650817"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,11]]},"references-count":24,"alternative-id":["10.1145\/3613905.3650817","10.1145\/3613905"],"URL":"https:\/\/doi.org\/10.1145\/3613905.3650817","relation":{},"subject":[],"published":{"date-parts":[[2024,5,11]]},"assertion":[{"value":"2024-05-11","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}