{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:26:07Z","timestamp":1750220767667,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2020,7,7]],"date-time":"2020-07-07T00:00:00Z","timestamp":1594080000000},"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":[[2020,7,7]]},"DOI":"10.1145\/3340631.3394883","type":"proceedings-article","created":{"date-parts":[[2020,7,13]],"date-time":"2020-07-13T21:49:55Z","timestamp":1594676995000},"page":"293-297","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Human Strategic Steering Improves Performance of Interactive Optimization"],"prefix":"10.1145","author":[{"given":"Fabio","family":"Colella","sequence":"first","affiliation":[{"name":"Aalto University, Espoo, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pedram","family":"Daee","sequence":"additional","affiliation":[{"name":"Aalto University, Espoo, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jussi","family":"Jokinen","sequence":"additional","affiliation":[{"name":"Aalto University, Espoo, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antti","family":"Oulasvirta","sequence":"additional","affiliation":[{"name":"Aalto University, Espoo, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samuel","family":"Kaski","sequence":"additional","affiliation":[{"name":"Aalto University, Espoo, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,7,13]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/271"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1609\/aimag.v35i4.2513"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v067.i01"},{"volume-title":"Advances in Neural Information Processing Systems 26","author":"Borji Ali","key":"e_1_3_2_2_4_1","unstructured":"Ali Borji and Laurent Itti . 2013. Bayesian optimization explains human active search . In Advances in Neural Information Processing Systems 26 , C. J. C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K. Q. Weinberger (Eds.). Curran Associates, Inc., 57 Morehouse Ln, Red Hook, NY 12571, United States, 55--63. http:\/\/papers.nips.cc\/paper\/4952-bayesian-optimization-explains-human-active-search.pdf Ali Borji and Laurent Itti. 2013. Bayesian optimization explains human active search. In Advances in Neural Information Processing Systems 26, C. J. C. Burges, L. Bottou, M. Welling, Z. Ghahramani, and K. Q. Weinberger (Eds.). Curran Associates, Inc., 57 Morehouse Ln, Red Hook, NY 12571, United States, 55--63. http:\/\/papers.nips.cc\/paper\/4952-bayesian-optimization-explains-human-active-search.pdf"},{"key":"e_1_3_2_2_5_1","volume-title":"A tutorial on Bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning. arXiv preprint arXiv:1012.2599","author":"Brochu Eric","year":"2010","unstructured":"Eric Brochu , Vlad M Cora , and Nando De Freitas . 2010. A tutorial on Bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning. arXiv preprint arXiv:1012.2599 ( 2010 ). Eric Brochu, Vlad M Cora, and Nando De Freitas. 2010. A tutorial on Bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning. arXiv preprint arXiv:1012.2599 (2010)."},{"key":"e_1_3_2_2_6_1","volume-title":"Building Second-Order Mental Models for Human-Robot Interaction. arXiv preprint arXiv:1909.06508","author":"Brooks Connor","year":"2019","unstructured":"Connor Brooks and Daniel Szafir . 2019. Building Second-Order Mental Models for Human-Robot Interaction. arXiv preprint arXiv:1909.06508 ( 2019 ). Connor Brooks and Daniel Szafir. 2019. Building Second-Order Mental Models for Human-Robot Interaction. arXiv preprint arXiv:1909.06508 (2019)."},{"key":"e_1_3_2_2_7_1","unstructured":"Mustafa Mert cCelikok Tomi Peltola Pedram Daee and Samuel Kaski. 2019. Interactive AI with a Theory of Mind. arxiv: cs.HC\/1912.05284  Mustafa Mert cCelikok Tomi Peltola Pedram Daee and Samuel Kaski. 2019. Interactive AI with a Theory of Mind. arxiv: cs.HC\/1912.05284"},{"key":"e_1_3_2_2_8_1","volume-title":"Plan explanations as model reconciliation: Moving beyond explanation as soliloquy. arXiv preprint arXiv:1701.08317","author":"Chakraborti Tathagata","year":"2017","unstructured":"Tathagata Chakraborti , Sarath Sreedharan , Yu Zhang , and Subbarao Kambhampati . 2017. Plan explanations as model reconciliation: Moving beyond explanation as soliloquy. arXiv preprint arXiv:1701.08317 ( 2017 ). Tathagata Chakraborti, Sarath Sreedharan, Yu Zhang, and Subbarao Kambhampati. 2017. Plan explanations as model reconciliation: Moving beyond explanation as soliloquy. arXiv preprint arXiv:1701.08317 (2017)."},{"key":"e_1_3_2_2_9_1","volume-title":"It Takes Two to Tango: Towards Theory of AI's Mind. arXiv preprint arXiv:1704.00717","author":"Chandrasekaran Arjun","year":"2017","unstructured":"Arjun Chandrasekaran , Deshraj Yadav , Prithvijit Chattopadhyay , Viraj Prabhu , and Devi Parikh . 2017. It Takes Two to Tango: Towards Theory of AI's Mind. arXiv preprint arXiv:1704.00717 ( 2017 ). Arjun Chandrasekaran, Deshraj Yadav, Prithvijit Chattopadhyay, Viraj Prabhu, and Devi Parikh. 2017. It Takes Two to Tango: Towards Theory of AI's Mind. arXiv preprint arXiv:1704.00717 (2017)."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-017-5651-7"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/2856767.2856803"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2016.05.002"},{"key":"e_1_3_2_2_13_1","volume-title":"A tutorial on Bayesian optimization. arXiv preprint arXiv:1807.02811","author":"Frazier Peter I","year":"2018","unstructured":"Peter I Frazier . 2018. A tutorial on Bayesian optimization. arXiv preprint arXiv:1807.02811 ( 2018 ). Peter I Frazier. 2018. A tutorial on Bayesian optimization. arXiv preprint arXiv:1807.02811 (2018)."},{"key":"e_1_3_2_2_14_1","volume-title":"Frazier and Jialei Wang","author":"Peter","year":"2016","unstructured":"Peter I. Frazier and Jialei Wang . 2016 . Bayesian Optimization for Materials Design. In Information Science for Materials Discovery and Design, Turab Lookman, Francis J. Alexander, and Krishna Rajan (Eds.). Springer International Publishing , Cham, 45--75. https:\/\/doi.org\/10.1007\/978--3--319--23871--5_3 Peter I. Frazier and Jialei Wang. 2016. Bayesian Optimization for Materials Design. In Information Science for Materials Discovery and Design, Turab Lookman, Francis J. Alexander, and Krishna Rajan (Eds.). Springer International Publishing, Cham, 45--75. https:\/\/doi.org\/10.1007\/978--3--319--23871--5_3"},{"key":"e_1_3_2_2_15_1","volume-title":"Kalish","author":"Griffiths Thomas L.","year":"2009","unstructured":"Thomas L. Griffiths , Chris Lucas , Joseph Williams , and Michael L . Kalish . 2009 . Modeling human function learning with Gaussian processes. In Advances in Neural Information Processing Systems 21, D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou (Eds.). Curran Associates, Inc., 57 Morehouse Ln , Red Hook, NY 12571, United States, 553--560. http:\/\/papers.nips.cc\/paper\/3529-modeling-human-function-learning-with-gaussian-processes.pdf Thomas L. Griffiths, Chris Lucas, Joseph Williams, and Michael L. Kalish. 2009. Modeling human function learning with Gaussian processes. In Advances in Neural Information Processing Systems 21, D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou (Eds.). Curran Associates, Inc., 57 Morehouse Ln, Red Hook, NY 12571, United States, 553--560. http:\/\/papers.nips.cc\/paper\/3529-modeling-human-function-learning-with-gaussian-processes.pdf"},{"key":"e_1_3_2_2_16_1","volume-title":"Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics (Proceedings of Machine Learning Research), Samuel Kaski and Jukka Corander (Eds.)","volume":"33","author":"Hoffman Matthew","year":"2014","unstructured":"Matthew Hoffman , Bobak Shahriari , and Nando Freitas . 2014 . On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning . In Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics (Proceedings of Machine Learning Research), Samuel Kaski and Jukka Corander (Eds.) , Vol. 33 . PMLR, Reykjavik, Iceland, 365--374. http:\/\/proceedings.mlr.press\/v33\/hoffman14.html Matthew Hoffman, Bobak Shahriari, and Nando Freitas. 2014. On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning. In Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics (Proceedings of Machine Learning Research), Samuel Kaski and Jukka Corander (Eds.), Vol. 33. PMLR, Reykjavik, Iceland, 365--374. http:\/\/proceedings.mlr.press\/v33\/hoffman14.html"},{"key":"e_1_3_2_2_17_1","volume-title":"Brain Informatics","volume":"3","author":"Holzinger Andreas","year":"2016","unstructured":"Andreas Holzinger . 2016 . Interactive machine learning for health informatics: when do we need the human-in-the-loop ? Brain Informatics , Vol. 3 , 2 (01 Jun 2016), 119--131. https:\/\/doi.org\/10.1007\/s40708-016-0042--6 Andreas Holzinger. 2016. Interactive machine learning for health informatics: when do we need the human-in-the-loop? Brain Informatics, Vol. 3, 2 (01 Jun 2016), 119--131. https:\/\/doi.org\/10.1007\/s40708-016-0042--6"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/1753326.1753529"},{"key":"e_1_3_2_2_19_1","volume-title":"Pedram Daee, and Samuel Kaski.","author":"Peltola Tomi","year":"2019","unstructured":"Tomi Peltola , Mustafa Mert cCelikok , Pedram Daee, and Samuel Kaski. 2019 . Machine Teaching of Active Sequential Learners. In Advances in Neural Information Processing Systems 32. Curran Associates, Inc., 57 Morehouse Ln , Red Hook, NY 12571, United States, 11202--11213. http:\/\/papers.nips.cc\/paper\/9299-machine-teaching-of-active-sequential-learners.pdf Tomi Peltola, Mustafa Mert cCelikok, Pedram Daee, and Samuel Kaski. 2019. Machine Teaching of Active Sequential Learners. In Advances in Neural Information Processing Systems 32. Curran Associates, Inc., 57 Morehouse Ln, Red Hook, NY 12571, United States, 11202--11213. http:\/\/papers.nips.cc\/paper\/9299-machine-teaching-of-active-sequential-learners.pdf"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.12.020"},{"key":"e_1_3_2_2_21_1","volume-title":"Williams","author":"Rasmussen Carl Edward","year":"2006","unstructured":"Carl Edward Rasmussen and Christopher K. I . Williams . 2006 . Gaussian Processes for Machine Learning .The MIT Press , 1 Rogers Street, Cambridge, MA 02142, USA. Carl Edward Rasmussen and Christopher K. I. Williams. 2006. Gaussian Processes for Machine Learning .The MIT Press, 1 Rogers Street, Cambridge, MA 02142, USA."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2656334"},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.01.105"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2015.2494218"},{"key":"e_1_3_2_2_25_1","volume-title":"Proceedings of the 27th International Conference on International Conference on Machine Learning (ICML'10)","author":"Srinivas Niranjan","year":"2010","unstructured":"Niranjan Srinivas , Andreas Krause , Sham Kakade , and Matthias Seeger . 2010 . Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design . In Proceedings of the 27th International Conference on International Conference on Machine Learning (ICML'10) . Omnipress, Madison, WI, USA, 1015--1022. Niranjan Srinivas, Andreas Krause, Sham Kakade, and Matthias Seeger. 2010. Gaussian Process Optimization in the Bandit Setting: No Regret and Experimental Design. In Proceedings of the 27th International Conference on International Conference on Machine Learning (ICML'10). Omnipress, Madison, WI, USA, 1015--1022."},{"key":"e_1_3_2_2_26_1","volume-title":"Pedram Daee, Chen He, Baris Serim, Aki Havulinna, Caroline Heckman, Giulio Jacucci, Pekka Marttinen, and Samuel Kaski.","author":"Sundin Iiris","year":"2018","unstructured":"Iiris Sundin , Tomi Peltola , Luana Micallef , Homayun Afrabandpey , Marta Soare , Muntasir Mamun Majumder , Pedram Daee, Chen He, Baris Serim, Aki Havulinna, Caroline Heckman, Giulio Jacucci, Pekka Marttinen, and Samuel Kaski. 2018 . Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge. Bioinformatics , Vol. 34 , 13 (06 2018), i395--i403. https:\/\/doi.org\/10.1093\/bioinformatics\/bty257 Iiris Sundin, Tomi Peltola, Luana Micallef, Homayun Afrabandpey, Marta Soare, Muntasir Mamun Majumder, Pedram Daee, Chen He, Baris Serim, Aki Havulinna, Caroline Heckman, Giulio Jacucci, Pekka Marttinen, and Samuel Kaski. 2018. Improving genomics-based predictions for precision medicine through active elicitation of expert knowledge. Bioinformatics, Vol. 34, 13 (06 2018), i395--i403. https:\/\/doi.org\/10.1093\/bioinformatics\/bty257"},{"key":"e_1_3_2_2_27_1","volume-title":"Bayesian inference of atomistic structure in functional materials. npj Computational Materials","author":"Todorovi\u0107 Milica","year":"2019","unstructured":"Milica Todorovi\u0107 , Michael U Gutmann , Jukka Corander , and Patrick Rinke . 2019. Bayesian inference of atomistic structure in functional materials. npj Computational Materials , Vol. 5 , 1 ( 2019 ), 1--7. Milica Todorovi\u0107, Michael U Gutmann, Jukka Corander, and Patrick Rinke. 2019. Bayesian inference of atomistic structure in functional materials. npj Computational Materials, Vol. 5, 1 (2019), 1--7."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300677"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41562-018-0467-4"}],"event":{"name":"UMAP '20: 28th ACM Conference on User Modeling, Adaptation and Personalization","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGCHI ACM Special Interest Group on Computer-Human Interaction"],"location":"Genoa Italy","acronym":"UMAP '20"},"container-title":["Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340631.3394883","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3340631.3394883","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:41:11Z","timestamp":1750200071000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340631.3394883"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,7]]},"references-count":29,"alternative-id":["10.1145\/3340631.3394883","10.1145\/3340631"],"URL":"https:\/\/doi.org\/10.1145\/3340631.3394883","relation":{},"subject":[],"published":{"date-parts":[[2020,7,7]]},"assertion":[{"value":"2020-07-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}