{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,16]],"date-time":"2025-12-16T21:13:36Z","timestamp":1765919616740,"version":"3.48.0"},"publisher-location":"New York, NY, USA","reference-count":59,"publisher":"ACM","funder":[{"name":"European Unions Horizon 2020 research and innovation program","award":["945175 (Project: CARDIOCARE)"],"award-info":[{"award-number":["945175 (Project: CARDIOCARE)"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,13]]},"DOI":"10.1145\/3747327.3764782","type":"proceedings-article","created":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T14:04:34Z","timestamp":1760191474000},"page":"70-79","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Efficient Pain Recognition via Respiration Signals: A Single Cross-Attention Transformer Multi-Window Fusion Pipeline"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4123-1302","authenticated-orcid":false,"given":"Stefanos","family":"Gkikas","sequence":"first","affiliation":[{"name":"Institute of Computer Science, Foundation for Research & Technology-Hellas, Heraklion, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-0711-5108","authenticated-orcid":false,"given":"Ioannis","family":"Kyprakis","sequence":"additional","affiliation":[{"name":"Institute of Computer Science, Foundation for Research & Technology-Hellas, Heraklion, Greece"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8454-1450","authenticated-orcid":false,"given":"Manolis","family":"Tsiknakis","sequence":"additional","affiliation":[{"name":"Institute of Computer Science, Foundation for Research & Technology-Hellas, Heraklion, Greece and Department of Electrical and Computer Engineering, Hellenic Mediterranean University, Heraklion, Greece"}]}],"member":"320","published-online":{"date-parts":[[2025,10,12]]},"reference":[{"key":"e_1_3_3_1_2_2","doi-asserted-by":"publisher","unstructured":"Sumair Aziz Calvin Joseph Niraj Hirachan Luke Murtagh Girija Chetty Roland Goecke and Raul Fernandez-Rojas. 2025. A two-stage architecture for identifying and locating the source of pain using novel multi-domain binary patterns of EDA. Biomedical Signal Processing and Control 104 (2025) 107454. 10.1016\/j.bspc.2024.107454","DOI":"10.1016\/j.bspc.2024.107454"},{"key":"e_1_3_3_1_3_2","doi-asserted-by":"publisher","unstructured":"Aleksandra Badura Aleksandra Mas\u0142owska Andrzej My\u015bliwiec and Ewa Pietka. 2021. Multimodal Signal Analysis for Pain Recognition in Physiotherapy Using Wavelet Scattering Transform. Sensors 21 4 (2021). 10.3390\/s21041311","DOI":"10.3390\/s21041311"},{"key":"e_1_3_3_1_4_2","doi-asserted-by":"publisher","unstructured":"Ghazal Bargshady Sumair Aziz Stefanos Gkikas Manolis Tsiknakis Roland Goecke and Raul Fernandez\u00a0Rojas. 2025. Pain Assessment Using Multi-Kernel-FCN-LSTM and Haemoglobin Difference in fNIRS. ACM Trans. Comput. Healthcare (2025). 10.1145\/3757931","DOI":"10.1145\/3757931"},{"key":"e_1_3_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC53108.2024.10781616"},{"key":"e_1_3_3_1_6_2","doi-asserted-by":"publisher","unstructured":"Harald Breivik Elon Eisenberg and Tony O\u2019Brien. 2013. The individual and societal burden of chronic pain in Europe: the case for strategic prioritisation and action to improve knowledge and availability of appropriate care. BMC public health 13 (2013) 1\u201314. 10.1186\/1471-2458-13-1229","DOI":"10.1186\/1471-2458-13-1229"},{"key":"e_1_3_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC46164.2021.9630002"},{"key":"e_1_3_3_1_8_2","doi-asserted-by":"publisher","unstructured":"Jaleh Farmani Ghazal Bargshady Stefanos Gkikas Manolis Tsiknakis and Raul Fernandez\u00a0Rojas. 2025. A CrossMod-Transformer deep learning framework for multi-modal pain detection through EDA and ECG fusion. Scientific Reports 15 1 (2025) 29467. 10.1038\/s41598-025-14238-y","DOI":"10.1038\/s41598-025-14238-y"},{"key":"e_1_3_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-96-6960-8_4"},{"key":"e_1_3_3_1_10_2","doi-asserted-by":"publisher","unstructured":"Raul Fernandez\u00a0Rojas Nicholas Brown Gordon Waddington and Roland Goecke. 2023. A systematic review of neurophysiological sensing for the assessment of acute pain. NPJ Digital Medicine 6 1 (2023) 76. 10.1038\/s41746-023-00810-1","DOI":"10.1038\/s41746-023-00810-1"},{"key":"e_1_3_3_1_11_2","doi-asserted-by":"publisher","unstructured":"Raul Fernandez\u00a0Rojas Niraj Hirachan Nicholas Brown Gordon Waddington Luke Murtagh Ben Seymour and Roland Goecke. 2023. Multimodal physiological sensing for the assessment of acute pain. Frontiers in Pain Research 4 (2023). 10.3389\/fpain.2023.1150264","DOI":"10.3389\/fpain.2023.1150264"},{"key":"e_1_3_3_1_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACIIW63320.2024.00012"},{"key":"e_1_3_3_1_13_2","doi-asserted-by":"publisher","DOI":"10.1145\/3747327.3764791"},{"key":"e_1_3_3_1_14_2","doi-asserted-by":"publisher","unstructured":"Raul Fernandez\u00a0Rojas Calvin Joseph Ghazal Bargshady and Keng-Liang Ou. 2024. Empirical comparison of deep learning models for fNIRS pain decoding. Frontiers in Neuroinformatics (2024). 10.3389\/fninf.2024.1320189","DOI":"10.3389\/fninf.2024.1320189"},{"key":"e_1_3_3_1_15_2","doi-asserted-by":"publisher","unstructured":"Raul Fernandez\u00a0Rojas Mingyu Liao Julio Romero Xu Huang and Keng-Liang Ou. 2019. Cortical Network Response to Acupuncture and the Effect of the Hegu Point: An fNIRS Study. Sensors 19 2 (2019). 10.3390\/s19020394","DOI":"10.3390\/s19020394"},{"key":"e_1_3_3_1_16_2","doi-asserted-by":"crossref","unstructured":"Jacob\u00a0E Finesinger and SARAH\u00a0G MAZICK. 1940. The effect of a painful stimulus and its recall upon respiration in psychoneurotic patients. Psychosomatic Medicine 2 4 (1940) 333\u2013368.","DOI":"10.1097\/00006842-194010000-00001"},{"key":"e_1_3_3_1_17_2","unstructured":"Stefanos Gkikas. 2025. A Pain Assessment Framework based on multimodal data and Deep Machine Learning methods. arxiv:https:\/\/arXiv.org\/abs\/2505.05396\u00a0[cs.AI] https:\/\/arxiv.org\/abs\/2505.05396 arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2505.05396."},{"key":"e_1_3_3_1_18_2","doi-asserted-by":"publisher","unstructured":"Stefanos Gkikas. Chariklia Chatzaki. Elisavet Pavlidou. Foteini Verigou. Kyriakos Kalkanis. and Manolis Tsiknakis.2022. Automatic Pain Intensity Estimation based on Electrocardiogram and Demographic Factors. Proceedings of the 8th International Conference on Information and Communication Technologies for Ageing Well and e-Health - ICT4AWE 155\u2013162. 10.5220\/0010971700003188","DOI":"10.5220\/0010971700003188"},{"key":"e_1_3_3_1_19_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-37496-817"},{"key":"e_1_3_3_1_20_2","doi-asserted-by":"crossref","unstructured":"Stefanos Gkikas Ioannis Kyprakis and Manolis Tsiknakis. 2025. Multi-Representation Diagrams for Pain Recognition: Integrating Various Electrodermal Activity Signals into a Single Image. arxiv:https:\/\/arXiv.org\/abs\/2507.21881\u00a0[cs.AI]","DOI":"10.1145\/3747327.3764793"},{"key":"e_1_3_3_1_21_2","doi-asserted-by":"crossref","unstructured":"Stefanos Gkikas Ioannis Kyprakis and Manolis Tsiknakis. 2025. Tiny-BioMoE: a Lightweight Embedding Model for Biosignal Analysis. arxiv:https:\/\/arXiv.org\/abs\/2507.21875\u00a0[cs.AI]","DOI":"10.1145\/3747327.3764788"},{"key":"e_1_3_3_1_22_2","unstructured":"Stefanos Gkikas Raul\u00a0Fernandez Rojas and Manolis Tsiknakis. 2025. PainFormer: a Vision Foundation Model for Automatic Pain Assessment. arxiv:https:\/\/arXiv.org\/abs\/2505.01571\u00a0[cs.CV] https:\/\/arxiv.org\/abs\/2505.01571"},{"key":"e_1_3_3_1_23_2","doi-asserted-by":"publisher","unstructured":"Stefanos Gkikas Nikolaos\u00a0S. Tachos Stelios Andreadis Vasileios\u00a0C. Pezoulas Dimitrios Zaridis George Gkois Anastasia Matonaki Thanos\u00a0G. Stavropoulos and Dimitrios\u00a0I. Fotiadis. 2024. Multimodal automatic assessment of acute pain through facial videos and heart rate signals utilizing transformer-based architectures. Frontiers in Pain Research 5 (2024). 10.3389\/fpain.2024.1372814","DOI":"10.3389\/fpain.2024.1372814"},{"key":"e_1_3_3_1_24_2","doi-asserted-by":"publisher","unstructured":"Stefanos Gkikas and Manolis Tsiknakis. 2023. Automatic assessment of pain based on deep learning methods: A systematic review. Computer Methods and Programs in Biomedicine 231 (2023) 107365. 10.1016\/j.cmpb.2023.107365","DOI":"10.1016\/j.cmpb.2023.107365"},{"key":"e_1_3_3_1_25_2","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC40787.2023.10340872"},{"key":"e_1_3_3_1_26_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACIIW63320.2024.00006"},{"key":"e_1_3_3_1_27_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACIIW63320.2024.00007"},{"key":"e_1_3_3_1_28_2","doi-asserted-by":"publisher","unstructured":"Arnav Hari Ravishankar Kumar Brijesh Kumbhani Sam Darshi Satyam Agarwal Jyotindra\u00a0Singh Sahambi Suksham Jain and Deepak Chawla. 2025. Contactless Breathing Monitoring at Home and in the Hospital: Protocol for a Low-Cost Frequency-Modulated Continuous-Wave Radar-Based Device. JMIR Res Protoc 14 (25 Feb 2025) e59532. 10.2196\/59532","DOI":"10.2196\/59532"},{"key":"e_1_3_3_1_29_2","doi-asserted-by":"publisher","unstructured":"Jan\u00a0H. Houtveen Paul\u00a0F.C. Groot and Eco\u00a0J.C. de Geus. 2006. Validation of the thoracic impedance derived respiratory signal using multilevel analysis. International Journal of Psychophysiology 59 2 (2006) 97\u2013106. 10.1016\/j.ijpsycho.2005.02.003","DOI":"10.1016\/j.ijpsycho.2005.02.003"},{"key":"e_1_3_3_1_30_2","doi-asserted-by":"publisher","unstructured":"Dong Huang Xiaoyi Feng Haixi Zhang Zitong Yu Jinye Peng Guoying Zhao and Zhaoqiang Xia. 2022. Spatio-Temporal Pain Estimation Network With Measuring Pseudo Heart Rate Gain. IEEE Transactions on Multimedia 24 (2022) 3300\u20133313. 10.1109\/TMM.2021.3096080","DOI":"10.1109\/TMM.2021.3096080"},{"key":"e_1_3_3_1_31_2","doi-asserted-by":"crossref","unstructured":"Hassan Jafari Imke Courtois Omer Van\u00a0den Bergh Johan\u00a0WS Vlaeyen and Ilse Van\u00a0Diest. 2017. Pain and respiration: a systematic review. Pain 158 6 (2017) 995\u20131006.","DOI":"10.1097\/j.pain.0000000000000865"},{"key":"e_1_3_3_1_32_2","doi-asserted-by":"publisher","unstructured":"Eun-Hye Jang Young-Ji Eum Daesub Yoon and Sangwon Byun. 2025. Classifying Emotionally Induced Pain Intensity Using Multimodal Physiological Signals and Subjective Ratings: A Pilot Study. Applied Sciences 15 13 (2025). 10.3390\/app15137149","DOI":"10.3390\/app15137149"},{"key":"e_1_3_3_1_33_2","doi-asserted-by":"publisher","DOI":"10.1145\/3555776.3577721"},{"key":"e_1_3_3_1_34_2","doi-asserted-by":"publisher","unstructured":"Mingzhe Jiang Yufei Li Jiangshan He Yuqiang Yang Hui Xie and Xueli Chen. 2024. Physiological Time-series Fusion with Hybrid Attention for Adaptive Recognition of Pain. IEEE Journal of Biomedical and Health Informatics (2024) 1\u20139. 10.1109\/JBHI.2024.3456441","DOI":"10.1109\/JBHI.2024.3456441"},{"key":"e_1_3_3_1_35_2","doi-asserted-by":"publisher","unstructured":"Mingzhe Jiang Riitta Rosio Sanna Salanter\u00e4 Amir\u00a0M. Rahmani Pasi Liljeberg Daniel\u00a0S. da Silva Victor Hugo\u00a0C. de Albuquerque and Wanqing Wu. 2024. Personalized and adaptive neural networks for pain detection from multi-modal physiological features. Expert Systems with Applications 235 (2024) 121082. 10.1016\/j.eswa.2023.121082","DOI":"10.1016\/j.eswa.2023.121082"},{"key":"e_1_3_3_1_36_2","doi-asserted-by":"crossref","unstructured":"Joanna\u00a0G Katzman and Rollin\u00a0Mac Gallagher. 2024. Pain: The Silent Public Health Epidemic. Journal of Primary Care & Community Health 15 (2024) 21501319241253547.","DOI":"10.1177\/21501319241253547"},{"key":"e_1_3_3_1_37_2","doi-asserted-by":"publisher","unstructured":"Muhammad\u00a0Umar Khan Sumair Aziz Luke Murtagh Girija Chetty Roland Goecke and Raul Fernandez Rojas. 2025. Empirically Transformed Energy Patterns: A novel approach for capturing fNIRS signal dynamics in pain assessment. Computers in Biology and Medicine 192 (2025) 110300. 10.1016\/j.compbiomed.2025.110300","DOI":"10.1016\/j.compbiomed.2025.110300"},{"key":"e_1_3_3_1_38_2","doi-asserted-by":"publisher","unstructured":"Muhammad\u00a0Umar Khan Girija Chetty Roland Goecke and Raul Fernandez-Rojas. 2025. A Systematic Review of Multimodal Signal Fusion for Acute Pain Assessment Systems. ACM Comput. Surv. (2025). 10.1145\/3737281","DOI":"10.1145\/3737281"},{"key":"e_1_3_3_1_39_2","doi-asserted-by":"publisher","unstructured":"Muhammad\u00a0Umar Khan Maryam Sousani Niraj Hirachan Calvin Joseph Maryam Ghahramani Girija Chetty Roland Goecke and Raul Fernandez-Rojas. 2024. Multilevel Pain Assessment with Functional Near-Infrared Spectroscopy: Evaluating \u0394 HBO2 and \u0394 HHB Measures for Comprehensive Analysis. Sensors 24 2 (2024). 10.3390\/s24020458","DOI":"10.3390\/s24020458"},{"key":"e_1_3_3_1_40_2","doi-asserted-by":"publisher","DOI":"10.1145\/3704198.3704212"},{"key":"e_1_3_3_1_41_2","doi-asserted-by":"publisher","unstructured":"Yingzi Lin Yan Xiao Li Wang Yikang Guo Wenchao Zhu Biren Dalip Sagar Kamarthi Kristin\u00a0L. Schreiber Robert\u00a0R. Edwards and Richard\u00a0D. Urman. 2022. Experimental Exploration of Objective Human Pain Assessment Using Multimodal Sensing Signals. Frontiers in Neuroscience Volume 16 - 2022 (2022). 10.3389\/fnins.2022.831627","DOI":"10.3389\/fnins.2022.831627"},{"key":"e_1_3_3_1_42_2","doi-asserted-by":"publisher","unstructured":"Zhenyuan Lu Burcu Ozek and Sagar Kamarthi. 2023. Transformer encoder with multiscale deep learning for pain classification using physiological signals. Frontiers in Physiology 14 (2023). 10.3389\/fphys.2023.1294577","DOI":"10.3389\/fphys.2023.1294577"},{"key":"e_1_3_3_1_43_2","unstructured":"Minh-Duc Nguyen Hyung-Jeong Yang Soo-Hyung Kim Ji-Eun Shin and Seung-Won Kim. 2024. Transformer with Leveraged Masked Autoencoder for video-based Pain Assessment. arxiv:https:\/\/arXiv.org\/abs\/2409.05088\u00a0[cs.CV]"},{"key":"e_1_3_3_1_44_2","unstructured":"Manisha\u00a0S. Patil and Hitendra\u00a0D. Patil. 2024. Ensemble Neural Networks for Multimodal Acute Pain Intensity Evaluation using Video and Physiological Signals. Journal of Computational Analysis and Applications (JoCAAA) 33 05 (Sep. 2024) 779\u2013791."},{"key":"e_1_3_3_1_45_2","doi-asserted-by":"publisher","DOI":"10.5220\/0013426800003938"},{"key":"e_1_3_3_1_46_2","doi-asserted-by":"publisher","unstructured":"Kim\u00a0Ngan Phan Ngumimi\u00a0Karen Iyortsuun Sudarshan Pant Hyung-Jeong Yang and Soo-Hyung Kim. 2023. Pain Recognition With Physiological Signals Using Multi-Level Context Information. IEEE Access 11 (2023) 20114\u201320127. 10.1109\/ACCESS.2023.3248654","DOI":"10.1109\/ACCESS.2023.3248654"},{"key":"e_1_3_3_1_47_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACIIW63320.2024.00009"},{"key":"e_1_3_3_1_48_2","doi-asserted-by":"publisher","unstructured":"Kathleen\u00a0A. Puntillo Daphne Stannard Christine Miaskowski Karen Kehrle and Sheila Gleeson. 2002. Use of a pain assessment and intervention notation (P.A.I.N.) tool in critical care nursing practice: Nurses\u2019 evaluations. Heart & Lung 31 4 (2002) 303\u2013314. 10.1067\/mhl.2002.125652","DOI":"10.1067\/mhl.2002.125652"},{"key":"e_1_3_3_1_49_2","doi-asserted-by":"publisher","unstructured":"Raul\u00a0Fernandez Rojas Xu Huang and Keng-Liang Ou. 2016. Region of Interest Detection and Evaluation in Functional near Infrared Spectroscopy. Journal of Near Infrared Spectroscopy 24 4 (2016) 317\u2013326. 10.1255\/jnirs.1239","DOI":"10.1255\/jnirs.1239"},{"key":"e_1_3_3_1_50_2","doi-asserted-by":"publisher","DOI":"10.1109\/NER49283.2021.9441384"},{"key":"e_1_3_3_1_51_2","doi-asserted-by":"publisher","unstructured":"Vivian Santiago. 2022. Painful Truth: The Need to Re-Center Chronic Pain on the Functional Role of Pain. Journal of Pain Research 15 (2022) 497\u2013512. 10.2147\/JPR.S347780","DOI":"10.2147\/JPR.S347780"},{"key":"e_1_3_3_1_52_2","doi-asserted-by":"publisher","unstructured":"Patrick Thiam Peter Bellmann Hans\u00a0A. Kestler and Friedhelm Schwenker. 2019. Exploring deep physiological models for nociceptive pain recognition. Sensors 19 (10 2019) 4503. Issue 20. 10.3390\/s19204503","DOI":"10.3390\/s19204503"},{"key":"e_1_3_3_1_53_2","unstructured":"U.S. Department of Health and Human Services. 2019. Pain Management Best Practices Inter-Agency Task Force Report: Updates Gaps Inconsistencies and Recommendations. https:\/\/www.hhs.gov\/sites\/default\/files\/pmtf-final-report-2019-05-23.pdf. Accessed Juny 27 2025."},{"key":"e_1_3_3_1_54_2","doi-asserted-by":"publisher","unstructured":"Jo Vianto Anjitha Divakaran Hyungjeong Yang Soonja Yeom Seungwon Kim Soohyung Kim and Jieun Shin. 2025. Multimodal Model for Automated Pain Assessment: Leveraging Video and fNIRS. Applied Sciences 15 9 (2025). 10.3390\/app15095151","DOI":"10.3390\/app15095151"},{"key":"e_1_3_3_1_55_2","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2014.784"},{"key":"e_1_3_3_1_56_2","doi-asserted-by":"publisher","unstructured":"Brent\u00a0D. Winslow Rebecca Kwasinski Kyle Whirlow Emily Mills Jeffrey Hullfish and Meredith Carroll. 2022. Automatic detection of pain using machine learning. Frontiers in Pain Research Volume 3 - 2022 (2022). 10.3389\/fpain.2022.1044518","DOI":"10.3389\/fpain.2022.1044518"},{"key":"e_1_3_3_1_57_2","doi-asserted-by":"publisher","unstructured":"Chi-Keng Wu Pau-Choo Chung and Chi-Jen Wang. 2012. Representative Segment-Based Emotion Analysis and Classification with Automatic Respiration Signal Segmentation. IEEE Transactions on Affective Computing 3 4 (2012) 482\u2013495. 10.1109\/T-AFFC.2012.14","DOI":"10.1109\/T-AFFC.2012.14"},{"key":"e_1_3_3_1_58_2","doi-asserted-by":"publisher","unstructured":"Zihan Yang Yinzhe Liu Hao Yang Jing Shi Anyong Hu Jun Xu Xiaodong Zhuge and Jungang Miao. 2025. Noncontact Breathing Pattern Monitoring Using a 120 GHz Dual Radar System with Motion Interference Suppression. Biosensors 15 8 (2025). 10.3390\/bios15080486","DOI":"10.3390\/bios15080486"},{"key":"e_1_3_3_1_59_2","doi-asserted-by":"publisher","DOI":"10.1109\/ITAIC.2019.8785727"},{"key":"e_1_3_3_1_60_2","doi-asserted-by":"publisher","unstructured":"Wenchao Zhu and Yingzi Lin. 2025. Physiological Sensor Modality Sensitivity Test for Pain Intensity Classification in Quantitative Sensory Testing. Sensors 25 7 (2025). 10.3390\/s25072086","DOI":"10.3390\/s25072086"}],"event":{"name":"ICMI Companion '25: Companion Proceedings of the 27th International Conference on Multimodal Interaction","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"],"location":"Canberra Australia","acronym":"ICMI Companion '25"},"container-title":["Companion Proceedings of the 27th International Conference on Multimodal Interaction"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3747327.3764782","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,16]],"date-time":"2025-12-16T21:08:35Z","timestamp":1765919315000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3747327.3764782"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,12]]},"references-count":59,"alternative-id":["10.1145\/3747327.3764782","10.1145\/3747327"],"URL":"https:\/\/doi.org\/10.1145\/3747327.3764782","relation":{},"subject":[],"published":{"date-parts":[[2025,10,12]]},"assertion":[{"value":"2025-10-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}