{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T20:45:17Z","timestamp":1776113117092,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":77,"publisher":"ACM","license":[{"start":{"date-parts":[[2025,3,24]],"date-time":"2025-03-24T00:00:00Z","timestamp":1742774400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,3,24]]},"DOI":"10.1145\/3708359.3712070","type":"proceedings-article","created":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T12:50:34Z","timestamp":1742388634000},"page":"54-69","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["A Dynamic Bayesian Network Based Framework for Multimodal Context-Aware Interactions"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5614-6066","authenticated-orcid":false,"given":"Violet Yinuo","family":"Han","sequence":"first","affiliation":[{"name":"Meta Reality Labs, Redmond, WA, USA and Carnegie Mellon University, Pittsburgh, PA, USA,"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9382-6466","authenticated-orcid":false,"given":"Tianyi","family":"Wang","sequence":"additional","affiliation":[{"name":"Meta Reality Labs, Redmond, WA, USA,"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4521-2766","authenticated-orcid":false,"given":"Hyunsung","family":"Cho","sequence":"additional","affiliation":[{"name":"Meta Reality Labs, Redmond, WA, USA and Carnegie Mellon University, Pittsburgh, PA, USA,"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6174-2089","authenticated-orcid":false,"given":"Kashyap","family":"Todi","sequence":"additional","affiliation":[{"name":"Meta Reality Labs, Redmond, WA, USA,"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-4568-5812","authenticated-orcid":false,"given":"Ajoy Savio","family":"Fernandes","sequence":"additional","affiliation":[{"name":"Meta Reality Labs, Redmond, WA, USA,"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0676-5472","authenticated-orcid":false,"given":"Andre","family":"Levi","sequence":"additional","affiliation":[{"name":"Meta Reality Labs, Redmond, WA, USA,"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7040-2326","authenticated-orcid":false,"given":"Zheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Meta Reality Labs, Redmond, WA, USA and University of Notre Dame, Notre Dame, IN, USA,"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0494-5373","authenticated-orcid":false,"given":"Tovi","family":"Grossman","sequence":"additional","affiliation":[{"name":"University of Toronto, Toronto, ON, Canada,"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5933-1363","authenticated-orcid":false,"given":"Alexandra","family":"Ion","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University, Pittsburgh, PA, USA,"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8646-5076","authenticated-orcid":false,"given":"Tanya R.","family":"Jonker","sequence":"additional","affiliation":[{"name":"Meta Reality Labs, Redmond, WA, USA,"}]}],"member":"320","published-online":{"date-parts":[[2025,3,24]]},"reference":[{"key":"e_1_3_3_3_2_2","first-page":"1","volume-title":"AAAI Technical Report (6)","author":"Adler Aaron","year":"2004","unstructured":"Aaron Adler, Jacob Eisenstein, Michael Oltmans, Lisa Guttentag, and Randall Davis. 2004. Building the Design Studio of the Future.. In AAAI Technical Report (6). 1\u20137."},{"key":"e_1_3_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1145\/3054977.3054981"},{"key":"e_1_3_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/SMAP.2007.50"},{"key":"e_1_3_3_3_5_2","doi-asserted-by":"crossref","unstructured":"Shubharthi Barua Xiaodan Gao Hans Pasman and M\u00a0Sam Mannan. 2016. Bayesian network based dynamic operational risk assessment. Journal of Loss Prevention in the Process Industries 41 (2016) 399\u2013410.","DOI":"10.1016\/j.jlp.2015.11.024"},{"key":"e_1_3_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1145\/2501988.2502058"},{"key":"e_1_3_3_3_7_2","volume-title":"Natural agency: An essay on the causal theory of action","author":"Bishop John\u00a0Christopher","year":"1989","unstructured":"John\u00a0Christopher Bishop. 1989. Natural agency: An essay on the causal theory of action. Cambridge University Press."},{"key":"e_1_3_3_3_8_2","first-page":"262","volume-title":"Proceedings of the 7th annual conference on Computer graphics and interactive techniques","author":"Bolt Richard\u00a0A","year":"1980","unstructured":"Richard\u00a0A Bolt. 1980. \u201cPut-that-there\u201d Voice and gesture at the graphics interface. In Proceedings of the 7th annual conference on Computer graphics and interactive techniques. 262\u2013270."},{"key":"e_1_3_3_3_9_2","doi-asserted-by":"crossref","unstructured":"William Buxton. 1983. Lexical and pragmatic considerations of input structures. ACM SIGGRAPH Computer Graphics 17 1 (1983) 31\u201337.","DOI":"10.1145\/988584.988586"},{"key":"e_1_3_3_3_10_2","doi-asserted-by":"publisher","unstructured":"Andr\u00e9s Cano Andr\u00e9s\u00a0R. Masegosa and Seraf\u00edn Moral. 2011. A Method for Integrating Expert Knowledge When Learning Bayesian Networks From Data. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) 41 5 (2011) 1382\u20131394. 10.1109\/TSMCB.2011.2148197","DOI":"10.1109\/TSMCB.2011.2148197"},{"key":"e_1_3_3_3_11_2","doi-asserted-by":"crossref","unstructured":"Theodore Charitos Linda\u00a0C Van Der\u00a0Gaag Stefan Visscher Karin\u00a0AM Schurink and Peter\u00a0JF Lucas. 2009. A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients. Expert Systems with Applications 36 2 (2009) 1249\u20131258.","DOI":"10.1016\/j.eswa.2007.11.065"},{"key":"e_1_3_3_3_12_2","doi-asserted-by":"publisher","DOI":"10.1145\/2818346.2820752"},{"key":"e_1_3_3_3_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/VR.2008.4480784"},{"key":"e_1_3_3_3_14_2","doi-asserted-by":"publisher","unstructured":"Xiang\u00a0\u2018Anthony\u2019 Chen and Yang Li. 2017. Improv: An Input Framework for Improvising Cross-Device Interaction by Demonstration. ACM Trans. Comput.-Hum. Interact. 24 2 Article 15 (April 2017) 21\u00a0pages. 10.1145\/3057862","DOI":"10.1145\/3057862"},{"key":"e_1_3_3_3_15_2","doi-asserted-by":"publisher","DOI":"10.1145\/1095034.1095052"},{"key":"e_1_3_3_3_16_2","doi-asserted-by":"crossref","unstructured":"Wayne\u00a0A Davis. 2010. The causal theory of action. A Companion to the Philosophy of Action 1 (2010) 32\u201339.","DOI":"10.1002\/9781444323528.ch5"},{"key":"e_1_3_3_3_17_2","doi-asserted-by":"crossref","unstructured":"Joseph\u00a0L Doob. 1942. What is a stochastic process? The American Mathematical Monthly 49 10 (1942) 648\u2013653.","DOI":"10.1080\/00029890.1942.11991300"},{"key":"e_1_3_3_3_18_2","series-title":"Proceedings of Machine Learning Research","first-page":"609","volume-title":"10th International Conference on Probabilistic Graphical Models","volume":"138","author":"Ducamp Gaspard","year":"2020","unstructured":"Gaspard Ducamp, Christophe Gonzales, and Pierre-Henri Wuillemin. 2020. aGrUM\/pyAgrum : a Toolbox to Build Models and Algorithms for Probabilistic Graphical Models in Python. In 10th International Conference on Probabilistic Graphical Models(Proceedings of Machine Learning Research, Vol.\u00a0138). Sk\u00f8rping, Denmark, 609\u2013612. https:\/\/hal.archives-ouvertes.fr\/hal-03135721"},{"key":"e_1_3_3_3_19_2","unstructured":"Martina Eckert Marcos L\u00f3pez Carlos L\u00e1zaro and Juan Meneses. 2019. MoKey: a versatile exergame creator for everyday usage. Assistive Technology (2019)."},{"key":"e_1_3_3_3_20_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMC.2008.4811500"},{"key":"e_1_3_3_3_21_2","doi-asserted-by":"publisher","DOI":"10.1145\/3544549.3583930"},{"key":"e_1_3_3_3_22_2","doi-asserted-by":"crossref","unstructured":"Giuseppe Ghiani Marco Manca Fabio Patern\u00f2 and Carmen Santoro. 2017. Personalization of context-dependent applications through trigger-action rules. ACM Transactions on Computer-Human Interaction (TOCHI) 24 2 (2017) 1\u201333.","DOI":"10.1145\/3057861"},{"key":"e_1_3_3_3_23_2","unstructured":"JJ Gibson. 1977. The theory of affordances. Perceiving acting and knowing: Towards an ecological psychology\/Erlbaum (1977)."},{"key":"e_1_3_3_3_24_2","doi-asserted-by":"crossref","unstructured":"Alex Greenfield Christoph Hafemeister and Richard Bonneau. 2013. Robust data-driven incorporation of prior knowledge into the inference of dynamic regulatory networks. Bioinformatics 29 8 (2013) 1060\u20131067.","DOI":"10.1093\/bioinformatics\/btt099"},{"key":"e_1_3_3_3_25_2","doi-asserted-by":"publisher","unstructured":"Tovi Grossman and Ravin Balakrishnan. 2005. A probabilistic approach to modeling two-dimensional pointing. ACM Trans. Comput.-Hum. Interact. 12 3 (Sept. 2005) 435\u2013459. 10.1145\/1096737.1096741","DOI":"10.1145\/1096737.1096741"},{"key":"e_1_3_3_3_26_2","doi-asserted-by":"publisher","DOI":"10.1145\/1240624.1240700"},{"key":"e_1_3_3_3_27_2","doi-asserted-by":"crossref","unstructured":"David\u00a0L Hall and James Llinas. 1997. An introduction to multisensor data fusion. Proc. IEEE 85 1 (1997) 6\u201323.","DOI":"10.1109\/5.554205"},{"key":"e_1_3_3_3_28_2","doi-asserted-by":"crossref","unstructured":"Clint Heinze. 2004. Modelling intention recognition for intelligent agent systems. (2004).","DOI":"10.1037\/e424532005-001"},{"key":"e_1_3_3_3_29_2","doi-asserted-by":"crossref","unstructured":"Steven Henderson and Steven Feiner. 2009. Opportunistic tangible user interfaces for augmented reality. IEEE Transactions on Visualization and Computer Graphics 16 1 (2009) 4\u201316.","DOI":"10.1109\/TVCG.2009.91"},{"key":"e_1_3_3_3_30_2","doi-asserted-by":"publisher","DOI":"10.1145\/1450579.1450625"},{"key":"e_1_3_3_3_31_2","first-page":"650","volume-title":"2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR\u201906)","volume":"1","author":"Hua Gang","year":"2006","unstructured":"Gang Hua and Ying Wu. 2006. Measurement integration under inconsistency for robust tracking. In 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR\u201906) , Vol.\u00a01. IEEE, 650\u2013657."},{"key":"e_1_3_3_3_32_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-41920-6_26"},{"key":"e_1_3_3_3_33_2","unstructured":"Qiang Ji and Zhiwei Zhu. 2003. Non-intrusive eye and gaze tracking for natural human computer interaction. MMI-Interaktiv 6 (2003) 1439\u20137854."},{"key":"e_1_3_3_3_34_2","doi-asserted-by":"publisher","DOI":"10.1145\/958432.958438"},{"key":"e_1_3_3_3_35_2","doi-asserted-by":"publisher","DOI":"10.1145\/3126594.3126630"},{"key":"e_1_3_3_3_36_2","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445094"},{"key":"e_1_3_3_3_37_2","doi-asserted-by":"crossref","unstructured":"Jung-Hwa Kim Seung-June Choi and Jin-Woo Jeong. 2019. Watch & Do: A smart iot interaction system with object detection and gaze estimation. IEEE Transactions on Consumer Electronics 65 2 (2019) 195\u2013204.","DOI":"10.1109\/TCE.2019.2897758"},{"key":"e_1_3_3_3_38_2","doi-asserted-by":"crossref","unstructured":"Matthias Kranz Paul Holleis and Albrecht Schmidt. 2009. Embedded interaction: Interacting with the internet of things. IEEE internet computing 14 2 (2009) 46\u201353.","DOI":"10.1109\/MIC.2009.141"},{"key":"e_1_3_3_3_39_2","doi-asserted-by":"crossref","unstructured":"Dana Lahat T\u00fclay Adali and Christian Jutten. 2015. Multimodal data fusion: an overview of methods challenges and prospects. Proc. IEEE 103 9 (2015) 1449\u20131477.","DOI":"10.1109\/JPROC.2015.2460697"},{"key":"e_1_3_3_3_40_2","doi-asserted-by":"crossref","unstructured":"Fabrizio Lamberti Andrea Sanna Gilles Carlevaris and Claudio Demartini. 2015. Adding pluggable and personalized natural control capabilities to existing applications. Sensors 15 2 (2015) 2832\u20132859.","DOI":"10.3390\/s150202832"},{"key":"e_1_3_3_3_41_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642230"},{"key":"e_1_3_3_3_42_2","doi-asserted-by":"publisher","DOI":"10.1145\/3025453.3025483"},{"key":"e_1_3_3_3_43_2","doi-asserted-by":"publisher","DOI":"10.1145\/3041021.3054182"},{"key":"e_1_3_3_3_44_2","doi-asserted-by":"publisher","DOI":"10.1145\/3025453.3025524"},{"key":"e_1_3_3_3_45_2","doi-asserted-by":"publisher","DOI":"10.1145\/3173574.3173959"},{"key":"e_1_3_3_3_46_2","doi-asserted-by":"crossref","unstructured":"Jiebo Luo Andreas\u00a0E Savakis and Amit Singhal. 2005. A Bayesian network-based framework for semantic image understanding. Pattern recognition 38 6 (2005) 919\u2013934.","DOI":"10.1016\/j.patcog.2004.11.001"},{"key":"e_1_3_3_3_47_2","doi-asserted-by":"publisher","unstructured":"Mathias\u00a0N. Lystb\u00e6k Peter Rosenberg Ken Pfeuffer Jens\u00a0Emil Gr\u00f8nb\u00e6k and Hans Gellersen. 2022. Gaze-Hand Alignment: Combining Eye Gaze and Mid-Air Pointing for Interacting with Menus in Augmented Reality. Proc. ACM Hum.-Comput. Interact. 6 ETRA Article 145 (May 2022) 18\u00a0pages. 10.1145\/3530886","DOI":"10.1145\/3530886"},{"key":"e_1_3_3_3_48_2","doi-asserted-by":"crossref","unstructured":"Anders\u00a0L Madsen and Finn\u00a0V Jensen. 1999. Lazy propagation: a junction tree inference algorithm based on lazy evaluation. Artificial Intelligence 113 1-2 (1999) 203\u2013245.","DOI":"10.1016\/S0004-3702(99)00062-4"},{"key":"e_1_3_3_3_49_2","doi-asserted-by":"publisher","DOI":"10.1109\/BSN.Workshops.2014.17"},{"key":"e_1_3_3_3_50_2","unstructured":"V Mihajlovic and Milan Petkovic. 2001. Dynamic bayesian networks: A state of the art. (2001)."},{"key":"e_1_3_3_3_51_2","doi-asserted-by":"publisher","DOI":"10.1007\/11527886_26"},{"key":"e_1_3_3_3_52_2","doi-asserted-by":"publisher","DOI":"10.1093\/oso\/9780198799603.001.0001"},{"key":"e_1_3_3_3_53_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-27648-9_22-1"},{"key":"e_1_3_3_3_54_2","doi-asserted-by":"publisher","DOI":"10.1145\/3015783"},{"key":"e_1_3_3_3_55_2","first-page":"1091","volume-title":"Proceedings of the AAAI Conference on Artificial Intelligence","volume":"26","author":"Oyen Diane","year":"2012","unstructured":"Diane Oyen and Terran Lane. 2012. Leveraging domain knowledge in multitask Bayesian network structure learning. In Proceedings of the AAAI Conference on Artificial Intelligence , Vol.\u00a026. 1091\u20131097."},{"key":"e_1_3_3_3_56_2","volume-title":"Dynamic Bayesian networks for information fusion with applications to human-computer interfaces","author":"Pavlovic Vladimir\u00a0Ivan","year":"1999","unstructured":"Vladimir\u00a0Ivan Pavlovic. 1999. Dynamic Bayesian networks for information fusion with applications to human-computer interfaces. University of Illinois at Urbana-Champaign."},{"key":"e_1_3_3_3_57_2","doi-asserted-by":"publisher","DOI":"10.1007\/11550617_20"},{"key":"e_1_3_3_3_58_2","doi-asserted-by":"publisher","DOI":"10.1109\/AERO.2000.878490"},{"key":"e_1_3_3_3_59_2","doi-asserted-by":"crossref","unstructured":"Vasanthan Raghavan Greg Ver\u00a0Steeg Aram Galstyan and Alexander\u00a0G Tartakovsky. 2014. Modeling temporal activity patterns in dynamic social networks. IEEE Transactions on Computational Social Systems 1 1 (2014) 89\u2013107.","DOI":"10.1109\/TCSS.2014.2307453"},{"key":"e_1_3_3_3_60_2","doi-asserted-by":"publisher","DOI":"10.1145\/1978942.1979318"},{"key":"e_1_3_3_3_61_2","doi-asserted-by":"publisher","DOI":"10.1145\/1107548.1107588"},{"key":"e_1_3_3_3_62_2","unstructured":"Julia Schwarz. 2014. Monte Carlo Methods for Managing Uncertain User Interfaces. Ph.\u00a0D. Dissertation. PhD thesis Carnegie Mellon University."},{"key":"e_1_3_3_3_63_2","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO.2019.8903044"},{"key":"e_1_3_3_3_64_2","doi-asserted-by":"publisher","DOI":"10.1117\/12.287628"},{"key":"e_1_3_3_3_65_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3517729"},{"key":"e_1_3_3_3_66_2","doi-asserted-by":"crossref","unstructured":"Tanya Stivers and Jack Sidnell. 2005. Introduction: multimodal interaction. (2005).","DOI":"10.1515\/semi.2005.2005.156.1"},{"key":"e_1_3_3_3_67_2","doi-asserted-by":"crossref","unstructured":"Heung-Il Suk Bong-Kee Sin and Seong-Whan Lee. 2010. Hand gesture recognition based on dynamic Bayesian network framework. Pattern recognition 43 9 (2010) 3059\u20133072.","DOI":"10.1016\/j.patcog.2010.03.016"},{"key":"e_1_3_3_3_68_2","doi-asserted-by":"crossref","unstructured":"Mohan\u00a0M Trivedi Shinko\u00a0Yuanhsien Cheng Edwin\u00a0MC Childers and Stephen\u00a0J Krotosky. 2004. Occupant posture analysis with stereo and thermal infrared video: Algorithms and experimental evaluation. IEEE transactions on vehicular technology 53 6 (2004) 1698\u20131712.","DOI":"10.1109\/TVT.2004.835526"},{"key":"e_1_3_3_3_69_2","doi-asserted-by":"publisher","DOI":"10.1145\/2901790.2901867"},{"key":"e_1_3_3_3_70_2","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376132"},{"key":"e_1_3_3_3_71_2","first-page":"3378","volume-title":"Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012)","author":"Wang Xiaoyang","year":"2012","unstructured":"Xiaoyang Wang and Qiang Ji. 2012. Incorporating contextual knowledge to dynamic bayesian networks for event recognition. In Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012). IEEE, 3378\u20133381."},{"key":"e_1_3_3_3_72_2","doi-asserted-by":"publisher","DOI":"10.1017\/9781108874830"},{"key":"e_1_3_3_3_73_2","doi-asserted-by":"crossref","unstructured":"Cao Xiao Yan Jin Ji Liu Bo Zeng and Shuai Huang. 2018. Optimal expert knowledge elicitation for Bayesian network structure identification. IEEE Transactions on Automation Science and Engineering 15 3 (2018) 1163\u20131177.","DOI":"10.1109\/TASE.2017.2747130"},{"key":"e_1_3_3_3_74_2","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376810"},{"key":"e_1_3_3_3_75_2","doi-asserted-by":"crossref","unstructured":"Yongmian Zhang and Qiang Ji. 2006. Active and dynamic information fusion for multisensor systems with dynamic Bayesian networks. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics) 36 2 (2006) 467\u2013472.","DOI":"10.1109\/TSMCB.2005.859081"},{"key":"e_1_3_3_3_76_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICIF.2002.1021215"},{"key":"e_1_3_3_3_77_2","doi-asserted-by":"publisher","DOI":"10.1145\/3526113.3545708"},{"key":"e_1_3_3_3_78_2","doi-asserted-by":"crossref","unstructured":"Min Zou and Suzanne\u00a0D Conzen. 2005. A new dynamic Bayesian network (DBN) approach for identifying gene regulatory networks from time course microarray data. Bioinformatics 21 1 (2005) 71\u201379.","DOI":"10.1093\/bioinformatics\/bth463"}],"event":{"name":"IUI '25: 30th International Conference on Intelligent User Interfaces","location":"Cagliari Italy","acronym":"IUI '25","sponsor":["SIGAI ACM Special Interest Group on Artificial Intelligence","SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 30th International Conference on Intelligent User Interfaces"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3708359.3712070","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3708359.3712070","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T01:09:45Z","timestamp":1750295385000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3708359.3712070"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3,24]]},"references-count":77,"alternative-id":["10.1145\/3708359.3712070","10.1145\/3708359"],"URL":"https:\/\/doi.org\/10.1145\/3708359.3712070","relation":{},"subject":[],"published":{"date-parts":[[2025,3,24]]},"assertion":[{"value":"2025-03-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}