{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T06:20:57Z","timestamp":1775197257075,"version":"3.50.1"},"publisher-location":"Cham","reference-count":42,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032131836","type":"print"},{"value":"9783032131843","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026]]},"DOI":"10.1007\/978-3-032-13184-3_15","type":"book-chapter","created":{"date-parts":[[2026,1,2]],"date-time":"2026-01-02T03:00:22Z","timestamp":1767322822000},"page":"240-265","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Constrained Causal Decision Dilemmas"],"prefix":"10.1007","author":[{"given":"Abraham","family":"Moore Odell","sequence":"first","affiliation":[]},{"given":"Andrew","family":"Forney","sequence":"additional","affiliation":[]},{"given":"Adrienne","family":"Raglin","sequence":"additional","affiliation":[]},{"given":"Anjon","family":"Basak","sequence":"additional","affiliation":[]},{"given":"Peter","family":"Khooshabeh","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2026,1,2]]},"reference":[{"key":"15_CR1","doi-asserted-by":"crossref","unstructured":"Ahmed, A.: Evidence, Decision and Causality. Cambridge University Press (2014). https:\/\/books.google.com\/books?id=7qcdBAAAQBAJ","DOI":"10.1017\/CBO9781139107990"},{"key":"15_CR2","doi-asserted-by":"crossref","unstructured":"Balke, A., Pearl, J.: Counterfactual probabilities: computational methods, bounds and applications. In: Uncertainty in Artificial Intelligence, pp. 46\u201354. Elsevier (1994)","DOI":"10.1016\/B978-1-55860-332-5.50011-0"},{"key":"15_CR3","unstructured":"Bareinboim, E., Forney, A., Pearl, J.: Bandits with unobserved confounders: a causal approach. In: Advances in Neural Information Processing Systems, pp. 1342\u20131350 (2015)"},{"key":"15_CR4","unstructured":"Briggs, R.: Normative theories of rational choice: expected utility. In: Zalta, E.N. (ed.) The Stanford Encyclopedia of Philosophy. Metaphysics Research Lab, Stanford University, Spring 2017 edn. (2017)"},{"key":"15_CR5","doi-asserted-by":"crossref","unstructured":"Browne, A., Forney, A.: Exploiting causal structure for transportability in online, multi-agent environments. In: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, pp. 199\u2013207 (2022)","DOI":"10.65109\/YYGZ5431"},{"key":"15_CR6","unstructured":"Buesing, L., et al.: Woulda, coulda, shoulda: counterfactually-guided policy search. arXiv preprint arXiv:1811.06272 (2018)"},{"key":"15_CR7","doi-asserted-by":"crossref","unstructured":"Cinelli, C., Forney, A., Pearl, J.: A crash course in good and bad controls. Sociol. Methods Res. 00491241221099552 (2020)","DOI":"10.2139\/ssrn.3689437"},{"key":"15_CR8","unstructured":"Deng, Z., Jiang, J., Long, G., Zhang, C.: Causal reinforcement learning: a survey. arXiv preprint arXiv:2307.01452 (2023)"},{"key":"15_CR9","first-page":"4108","volume-title":"Encyclopedia of Biostatistics","author":"J Dong","year":"1998","unstructured":"Dong, J.: Simpson\u2019s paradox. In: Armitage, P., Colton, T. (eds.) Encyclopedia of Biostatistics, pp. 4108\u20134110. J. Wiley, New York (1998)"},{"key":"15_CR10","unstructured":"Everitt, T., Ortega, P.A., Barnes, E., Legg, S.: Understanding agent incentives using causal influence diagrams. Part I: single action settings. arXiv preprint arXiv:1902.09980 (2019)"},{"issue":"1","key":"15_CR11","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1177\/0272989X9801800117","volume":"18","author":"JC Felli","year":"1998","unstructured":"Felli, J.C., Hazen, G.B.: Sensitivity analysis and the expected value of perfect information. Med. Decis. Making 18(1), 95\u2013109 (1998)","journal-title":"Med. Decis. Making"},{"key":"15_CR12","doi-asserted-by":"crossref","unstructured":"Forney, A., Bareinboim, E.: Counterfactual randomization: rescuing experimental studies from obscured confounding. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 33-01, pp. 2454\u20132461. AAAI, Honolulu, Hawaii (2019)","DOI":"10.1609\/aaai.v33i01.33012454"},{"issue":"1","key":"15_CR13","doi-asserted-by":"publisher","first-page":"141","DOI":"10.1515\/jci-2021-0048","volume":"10","author":"A Forney","year":"2022","unstructured":"Forney, A., Mueller, S.: Causal inference in AI education: a primer. J. Causal Infer. 10(1), 141\u2013173 (2022)","journal-title":"J. Causal Infer."},{"key":"15_CR14","unstructured":"Forney, A., Pearl, J., Bareinboim, E.: Counterfactual data-fusion for online reinforcement learners. In: International Conference on Machine Learning, pp. 1156\u20131164. PMLR (2017)"},{"key":"15_CR15","doi-asserted-by":"crossref","unstructured":"Geiger, D., Verma, T., Pearl, J.: D-separation: from theorems to algorithms. In: Machine Intelligence and Pattern Recognition, vol.\u00a010, pp. 139\u2013148. Elsevier (1990)","DOI":"10.1016\/B978-0-444-88738-2.50018-X"},{"key":"15_CR16","unstructured":"Hauk, T.G.: Search in trees with chance nodes (2004)"},{"key":"15_CR17","unstructured":"Heckerman, D.: A bayesian approach to learning causal networks. arXiv preprint arXiv:1302.4958 (2013)"},{"issue":"3","key":"15_CR18","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1111\/j.1754-9434.2008.00058.x","volume":"1","author":"S Highhouse","year":"2008","unstructured":"Highhouse, S.: Stubborn reliance on intuition and subjectivity in employee selection. Ind. Organ. Psychol. 1(3), 333\u2013342 (2008)","journal-title":"Ind. Organ. Psychol."},{"key":"15_CR19","unstructured":"Kaddour, J., Lynch, A., Liu, Q., Kusner, M.J., Silva, R.: Causal machine learning: a survey and open problems. arXiv preprint arXiv:2206.15475 (2022)"},{"key":"15_CR20","unstructured":"Lee, S., Bareinboim, E.: Characterizing optimal mixed policies: where to intervene and what to observe. In: Advances in Neural Information Processing Systems, vol. 33, pp. 8565\u20138576 (2020)"},{"issue":"1","key":"15_CR21","doi-asserted-by":"publisher","first-page":"243","DOI":"10.1037\/a0017884","volume":"117","author":"K Mukherjee","year":"2010","unstructured":"Mukherjee, K.: A dual system model of preferences under risk. Psychol. Rev. 117(1), 243 (2010)","journal-title":"Psychol. Rev."},{"key":"15_CR22","unstructured":"Oberst, M., Sontag, D.: Counterfactual off-policy evaluation with gumbel-max structural causal models. In: International Conference on Machine Learning, pp. 4881\u20134890. PMLR (2019)"},{"issue":"1","key":"15_CR23","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/S0951-8320(02)00028-5","volume":"77","author":"J Park","year":"2002","unstructured":"Park, J., Jung, W., Ha, J., Park, C.: The step complexity measure for emergency operating procedures: measure verification. Reliab. Eng. Syst. Saf. 77(1), 45\u201359 (2002)","journal-title":"Reliab. Eng. Syst. Saf."},{"key":"15_CR24","doi-asserted-by":"crossref","unstructured":"Pearl, J.: A probabilistic calculus of actions. In: Uncertainty in Artificial Intelligence, pp. 454\u2013462. Elsevier (1994)","DOI":"10.1016\/B978-1-55860-332-5.50062-6"},{"key":"15_CR25","doi-asserted-by":"publisher","unstructured":"Pearl, J.: From bayesian networks to causal networks. In: Mathematical Models for Handling Partial Knowledge in Artificial Intelligence, pp. 157\u2013182. Springer (1995). https:\/\/doi.org\/10.1007\/978-1-4899-1424-8_9","DOI":"10.1007\/978-1-4899-1424-8_9"},{"key":"15_CR26","doi-asserted-by":"crossref","unstructured":"Pearl, J.: Causal inference in statistics: an overview (2009)","DOI":"10.1214\/09-SS057"},{"key":"15_CR27","doi-asserted-by":"crossref","unstructured":"Pearl, J.: Causality: Models, Reasoning, and Inference, Second edn. Cambridge University Press, New York (2009)","DOI":"10.1017\/CBO9780511803161"},{"key":"15_CR28","doi-asserted-by":"crossref","unstructured":"Pearl, J.: Causal inference. Causality Objectives Assess. 39\u201358 (2010)","DOI":"10.1017\/CBO9780511803161"},{"key":"15_CR29","doi-asserted-by":"crossref","unstructured":"Pearl, J.: Comment: understanding simpson\u2019s paradox. In: Probabilistic and Causal Inference: The Works of Judea Pearl, pp. 399\u2013412 (2022)","DOI":"10.1145\/3501714.3501738"},{"key":"15_CR30","doi-asserted-by":"publisher","first-page":"72087","DOI":"10.1109\/ACCESS.2021.3079356","volume":"9","author":"A Primanita","year":"2021","unstructured":"Primanita, A., Khalid, M.N.A., Iida, H.: Computing games: bridging the gap between search and entertainment. IEEE Access 9, 72087\u201372102 (2021)","journal-title":"IEEE Access"},{"key":"15_CR31","doi-asserted-by":"publisher","unstructured":"Raglin, A., Emlet, A., Caylor, J., Richardson, J., Mittrick, M., Metu, S.: Uncertainty of information (UoI) taxonomy assessment based on experimental user study results. In: International Conference on Human-Computer Interaction, pp. 290\u2013301. Springer (2022). https:\/\/doi.org\/10.1007\/978-3-031-05311-5_20","DOI":"10.1007\/978-3-031-05311-5_20"},{"key":"15_CR32","doi-asserted-by":"crossref","unstructured":"Raglin, A., Moraffah, R., Liu, H.: Causality and uncertainty of information for content understanding. In: 2020 IEEE Second International Conference on Cognitive Machine Intelligence (CogMI), pp. 109\u2013113. IEEE (2020)","DOI":"10.1109\/CogMI50398.2020.00023"},{"key":"15_CR33","volume-title":"Artificial Intelligence: A Modern Approach","author":"SJ Russell","year":"2021","unstructured":"Russell, S.J., Norvig, P.: Artificial Intelligence: A Modern Approach. Global Edition, Pearson (2021)"},{"issue":"1","key":"15_CR34","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s12911-016-0377-1","volume":"16","author":"G Saposnik","year":"2016","unstructured":"Saposnik, G., Redelmeier, D., Ruff, C.C., Tobler, P.N.: Cognitive biases associated with medical decisions: a systematic review. BMC Med. Inform. Decis. Mak. 16(1), 1\u201314 (2016)","journal-title":"BMC Med. Inform. Decis. Mak."},{"key":"15_CR35","unstructured":"Savage, C.W.: Scientific Theories. No. v. 14 in Minnesota Studies in the Philosophy of Science. University of Minnesota Press (1990). https:\/\/books.google.com\/books?id=GowI4u5Bd6MC"},{"key":"15_CR36","doi-asserted-by":"crossref","unstructured":"Schwartz, B.: The paradox of choice. Positive psychology in practice: Promoting human flourishing in work, health, education, and everyday life 121\u2013138 (2015)","DOI":"10.1002\/9781118996874.ch8"},{"key":"15_CR37","doi-asserted-by":"crossref","unstructured":"Triantafyllou, S., Singla, A., Radanovic, G.: Actual causality and responsibility attribution in decentralized partially observable markov decision processes. In: Proceedings of the 2022 AAAI\/ACM Conference on AI, Ethics, and Society, pp. 739\u2013752 (2022)","DOI":"10.1145\/3514094.3534133"},{"key":"15_CR38","doi-asserted-by":"crossref","unstructured":"Tsirtsis, S., Rodriguez, M.: Finding counterfactually optimal action sequences in continuous state spaces. In: Advances in Neural Information Processing Systems, vol. 36 (2024)","DOI":"10.52202\/075280-0143"},{"key":"15_CR39","doi-asserted-by":"crossref","unstructured":"Vignon, C., Rabault, J., Vinuesa, R.: Recent advances in applying deep reinforcement learning for flow control: perspectives and future directions. Phys. Fluids 35(3) (2023)","DOI":"10.1063\/5.0143913"},{"key":"15_CR40","unstructured":"Von\u00a0Neumann, J., Morgenstern, O.: Theory of Games and Economic Behavior, 2nd rev (1947)"},{"key":"15_CR41","unstructured":"Weirich, P.: Causal decision theory. In: Zalta, E.N. (ed.) The Stanford Encyclopedia of Philosophy, Winter 2016 edn. Metaphysics Research Lab, Stanford University (2016)"},{"key":"15_CR42","unstructured":"Ze\u010devi\u0107, M., Dhami, D.S., Kersting, K.: Not all causal inference is the same. Trans. Mach. Learn. Res. (2023)"}],"container-title":["Lecture Notes in Computer Science","HCI International 2025 \u2013 Late Breaking Papers"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-13184-3_15","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T04:20:31Z","timestamp":1775190031000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-13184-3_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9783032131836","9783032131843"],"references-count":42,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-13184-3_15","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"2 January 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"HCII","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Human-Computer Interaction","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Gothenburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sweden","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2025.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}