{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,18]],"date-time":"2025-12-18T14:20:38Z","timestamp":1766067638676,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":45,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T00:00:00Z","timestamp":1665360000000},"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":[[2022,10,10]]},"DOI":"10.1145\/3503161.3548379","type":"proceedings-article","created":{"date-parts":[[2022,10,10]],"date-time":"2022-10-10T15:43:01Z","timestamp":1665416581000},"page":"887-895","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Improving Meeting Inclusiveness using Speech Interruption Analysis"],"prefix":"10.1145","author":[{"given":"Szu-Wei","family":"Fu","sequence":"first","affiliation":[{"name":"Microsoft, Vancouver, BC, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yaran","family":"Fan","sequence":"additional","affiliation":[{"name":"Microsoft, Seattle, WA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yasaman","family":"Hosseinkashi","sequence":"additional","affiliation":[{"name":"Microsoft, Seattle, WA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jayant","family":"Gupchup","sequence":"additional","affiliation":[{"name":"Microsoft, Seattle, WA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ross","family":"Cutler","sequence":"additional","affiliation":[{"name":"Microsoft, Seattle, WA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,10,10]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"Scale AI. 2022. The Data Platform for AI: High quality training and validation data for AI applications. https:\/\/scale.com\/about  Scale AI. 2022. The Data Platform for AI: High quality training and validation data for AI applications. https:\/\/scale.com\/about"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1080\/00273171.2011.568786"},{"key":"e_1_3_2_2_3_1","first-page":"12449","article-title":"wav2vec 2.0: A framework for self-supervised learning of speech representations","volume":"33","author":"Baevski Alexei","year":"2020","unstructured":"Alexei Baevski , Yuhao Zhou , Abdelrahman Mohamed , and Michael Auli . 2020 . wav2vec 2.0: A framework for self-supervised learning of speech representations . Advances in Neural Information Processing Systems 33 (2020), 12449 -- 12460 . Alexei Baevski, Yuhao Zhou, Abdelrahman Mohamed, and Michael Auli. 2020. wav2vec 2.0: A framework for self-supervised learning of speech representations. Advances in Neural Information Processing Systems 33 (2020), 12449--12460.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_2_4_1","volume-title":"Prosody-Based Automatic Detection of Punctuation and Interruption Events in the ICSI Meeting Recorder Corpus. Research project","author":"Baron Don","year":"2002","unstructured":"Don Baron . 2002 . Prosody-Based Automatic Detection of Punctuation and Interruption Events in the ICSI Meeting Recorder Corpus. Research project , University of California, Berkeley, USA (2002). Don Baron. 2002. Prosody-Based Automatic Detection of Punctuation and Interruption Events in the ICSI Meeting Recorder Corpus. Research project, University of California, Berkeley, USA (2002)."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2008.4518619"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO54536.2021.9616082"},{"key":"e_1_3_2_2_7_1","volume-title":"The AMI Meeting Corpus: A Pre-announcement. In Machine Learning for Multimodal Interaction (Lecture Notes in Computer Science), Steve Renals and Samy Bengio (Eds.). Springer","author":"Carletta Jean","year":"2006","unstructured":"Jean Carletta , Simone Ashby , Sebastien Bourban , Mike Flynn , Mael Guillemot , Thomas Hain , Jaroslav Kadlec , Vasilis Karaiskos , Wessel Kraaij , Melissa Kronenthal , Guillaume Lathoud , Mike Lincoln , Agnes Lisowska , Iain McCowan , Wilfried Post , Dennis Reidsma , and Pierre Wellner . 2006 . The AMI Meeting Corpus: A Pre-announcement. In Machine Learning for Multimodal Interaction (Lecture Notes in Computer Science), Steve Renals and Samy Bengio (Eds.). Springer , Berlin, Heidelberg, 28--39. https:\/\/doi.org\/10.1007\/11677482_3 Jean Carletta, Simone Ashby, Sebastien Bourban, Mike Flynn, Mael Guillemot, Thomas Hain, Jaroslav Kadlec, Vasilis Karaiskos, Wessel Kraaij, Melissa Kronenthal, Guillaume Lathoud, Mike Lincoln, Agnes Lisowska, Iain McCowan, Wilfried Post, Dennis Reidsma, and Pierre Wellner. 2006. The AMI Meeting Corpus: A Pre-announcement. In Machine Learning for Multimodal Interaction (Lecture Notes in Computer Science), Steve Renals and Samy Bengio (Eds.). Springer, Berlin, Heidelberg, 28--39. https:\/\/doi.org\/10.1007\/11677482_3"},{"key":"e_1_3_2_2_8_1","volume-title":"Wavlm: Largescale self-supervised pre-training for full stack speech processing. arXiv preprint arXiv:2110.13900","author":"Chen Sanyuan","year":"2021","unstructured":"Sanyuan Chen , ChengyiWang, Zhengyang Chen , YuWu, Shujie Liu , Zhuo Chen , Jinyu Li , Naoyuki Kanda , Takuya Yoshioka , and Xiong Xiao . 2021 . Wavlm: Largescale self-supervised pre-training for full stack speech processing. arXiv preprint arXiv:2110.13900 (2021). Sanyuan Chen, ChengyiWang, Zhengyang Chen, YuWu, Shujie Liu, Zhuo Chen, Jinyu Li, Naoyuki Kanda, Takuya Yoshioka, and Xiong Xiao. 2021. Wavlm: Largescale self-supervised pre-training for full stack speech processing. arXiv preprint arXiv:2110.13900 (2021)."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.2307\/2528036"},{"key":"e_1_3_2_2_10_1","volume-title":"Meeting effectiveness and inclusiveness in remote collaboration. Proceedings of the ACM on Human-Computer Interaction 5, CSCW1","author":"Cutler Ross","year":"2021","unstructured":"Ross Cutler , Yasaman Hosseinkashi , Jamie Pool , Senja Filipi , Robert Aichner , Yuan Tu , and Johannes Gehrke . 2021 . Meeting effectiveness and inclusiveness in remote collaboration. Proceedings of the ACM on Human-Computer Interaction 5, CSCW1 (2021), 1--29. Ross Cutler, Yasaman Hosseinkashi, Jamie Pool, Senja Filipi, Robert Aichner, Yuan Tu, and Johannes Gehrke. 2021. Meeting effectiveness and inclusiveness in remote collaboration. Proceedings of the ACM on Human-Computer Interaction 5, CSCW1 (2021), 1--29."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"crossref","unstructured":"Paul Van Eecke and Raquel Fern\u00e1ndez. 2016. On the Influence of Gender on Interruptions in Multiparty Dialogue. 2070--2074. https:\/\/doi.org\/10.21437\/Interspeech.2016-951  Paul Van Eecke and Raquel Fern\u00e1ndez. 2016. On the Influence of Gender on Interruptions in Multiparty Dialogue. 2070--2074. https:\/\/doi.org\/10.21437\/Interspeech.2016-951","DOI":"10.21437\/Interspeech.2016-951"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1874246"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"crossref","unstructured":"Erin Fitzgerald Keith B Hall and Frederick Jelinek. 2009. Reconstructing false start errors in spontaneous speech text. (2009).  Erin Fitzgerald Keith B Hall and Frederick Jelinek. 2009. Reconstructing false start errors in spontaneous speech text. (2009).","DOI":"10.3115\/1609067.1609095"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICC.2005.1494355"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2021.3122291"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1093\/biostatistics\/3.2.179"},{"key":"e_1_3_2_2_18_1","volume-title":"Boosting Self-Supervised Embeddings for Speech Enhancement. arXiv:2204.03339 [eess] (April","author":"Hung Kuo-Hsuan","year":"2022","unstructured":"Kuo-Hsuan Hung , Szu-Wei Fu , Huan-Hsin Tseng , Hsin-Tien Chiang , Yu Tsao , and Chii-Wann Lin . 2022. Boosting Self-Supervised Embeddings for Speech Enhancement. arXiv:2204.03339 [eess] (April 2022 ). http:\/\/arxiv.org\/abs\/2204.03339 arXiv: 2204.03339. Kuo-Hsuan Hung, Szu-Wei Fu, Huan-Hsin Tseng, Hsin-Tien Chiang, Yu Tsao, and Chii-Wann Lin. 2022. Boosting Self-Supervised Embeddings for Speech Enhancement. arXiv:2204.03339 [eess] (April 2022). http:\/\/arxiv.org\/abs\/2204.03339 arXiv: 2204.03339."},{"volume-title":"Gender and conversational interaction","author":"James Deborah","key":"e_1_3_2_2_19_1","unstructured":"Deborah James and Janice Drakich . 1993. Understanding gender differences in amount of talk: A critical review of research . In Gender and conversational interaction . Oxford University Press , New York, NY , US, 281--312. Deborah James and Janice Drakich. 1993. Understanding gender differences in amount of talk: A critical review of research. In Gender and conversational interaction. Oxford University Press, New York, NY, US, 281--312."},{"key":"e_1_3_2_2_20_1","first-page":"1520","volume-title":"The ICSI Meeting Corpus. In 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)","volume":"1","author":"Janin A.","year":"2003","unstructured":"A. Janin , D. Baron , J. Edwards , D. Ellis , D. Gelbart , N. Morgan , B. Peskin , T. Pfau , E. Shriberg , A. Stolcke , and C. Wooters . 2003 . The ICSI Meeting Corpus. In 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03) ., Vol. 1 . I-I. https:\/\/doi.org\/10.1109\/ICASSP. 2003 . 1198793 ISSN: 1520 - 6149 . A. Janin, D. Baron, J. Edwards, D. Ellis, D. Gelbart, N. Morgan, B. Peskin, T. Pfau, E. Shriberg, A. Stolcke, and C. Wooters. 2003. The ICSI Meeting Corpus. In 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)., Vol. 1. I-I. https:\/\/doi.org\/10.1109\/ICASSP.2003. 1198793 ISSN: 1520-6149."},{"key":"e_1_3_2_2_21_1","volume-title":"Lightgbm: A highly efficient gradient boosting decision tree. Advances in neural information processing systems 30","author":"Ke Guolin","year":"2017","unstructured":"Guolin Ke , Qi Meng , Thomas Finley , Taifeng Wang , Wei Chen , Weidong Ma , Qiwei Ye , and Tie-Yan Liu . 2017 . Lightgbm: A highly efficient gradient boosting decision tree. Advances in neural information processing systems 30 (2017). Guolin Ke, Qi Meng, Thomas Finley, Taifeng Wang, Wei Chen, Weidong Ma, Qiwei Ye, and Tie-Yan Liu. 2017. Lightgbm: A highly efficient gradient boosting decision tree. Advances in neural information processing systems 30 (2017)."},{"volume-title":"The design and analysis of experiments. (1952)","author":"Kempthorne Oscar","key":"e_1_3_2_2_22_1","unstructured":"Oscar Kempthorne . 1952. The design and analysis of experiments. (1952) . Publisher : Wiley . Oscar Kempthorne. 1952. The design and analysis of experiments. (1952). Publisher: Wiley."},{"key":"e_1_3_2_2_23_1","unstructured":"Lyndon S Kennedy and Daniel PW Ellis. 2004. Laughter detection in meetings. (2004).  Lyndon S Kennedy and Daniel PW Ellis. 2004. Laughter detection in meetings. (2004)."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2018.2811740"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1177\/1088868307302221"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.21437\/Eurospeech.2003-332"},{"volume-title":"in ICML Workshop on Deep Learning for Audio, Speech and Language Processing.","author":"Maas Andrew L.","key":"e_1_3_2_2_27_1","unstructured":"Andrew L. Maas , Awni Y. Hannun , and Andrew Y. Ng . 2013. Rectifier nonlinearities improve neural network acoustic models . In in ICML Workshop on Deep Learning for Audio, Speech and Language Processing. Andrew L. Maas, Awni Y. Hannun, and Andrew Y. Ng. 2013. Rectifier nonlinearities improve neural network acoustic models. In in ICML Workshop on Deep Learning for Audio, Speech and Language Processing."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053167"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"crossref","unstructured":"Eleni Margariti Sean Rintel Brendan Murphy and Abigail Sellen. 2022. Automated mapping of competitive and collaborative overlapping talk in video meetings. (2022) 8.  Eleni Margariti Sean Rintel Brendan Murphy and Abigail Sellen. 2022. Automated mapping of competitive and collaborative overlapping talk in video meetings. (2022) 8.","DOI":"10.1145\/3491101.3519612"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-85483-8_18"},{"key":"e_1_3_2_2_31_1","unstructured":"N\/A. N\/A. Hidden for blind review. (N\/A).  N\/A. N\/A. Hidden for blind review. (N\/A)."},{"key":"e_1_3_2_2_32_1","volume-title":"An Open Source Implementation of ITU-T Recommendation P.808 with Validation. INTERSPEECH (Oct","author":"Naderi Babak","year":"2020","unstructured":"Babak Naderi and Ross Cutler . 2020. An Open Source Implementation of ITU-T Recommendation P.808 with Validation. INTERSPEECH (Oct . 2020 ), 2862--2866. https:\/\/doi.org\/10.21437\/Interspeech.2020--2665 Babak Naderi and Ross Cutler. 2020. An Open Source Implementation of ITU-T Recommendation P.808 with Validation. INTERSPEECH (Oct. 2020), 2862--2866. https:\/\/doi.org\/10.21437\/Interspeech.2020--2665"},{"key":"e_1_3_2_2_33_1","volume-title":"The number of strata in propensity score stratification for a binary outcome. Archives of medical science: AMS 14, 3","author":"Neuh\u00e4user Markus","year":"2018","unstructured":"Markus Neuh\u00e4user , Matthias Thielmann , and Graeme D Ruxton . 2018. The number of strata in propensity score stratification for a binary outcome. Archives of medical science: AMS 14, 3 ( 2018 ), 695. Publisher : Termedia Publishing . Markus Neuh\u00e4user, Matthias Thielmann, and Graeme D Ruxton. 2018. The number of strata in propensity score stratification for a binary outcome. Archives of medical science: AMS 14, 3 (2018), 695. Publisher: Termedia Publishing."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1002\/qaj.481"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1080\/01621459.1984.10478078"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"crossref","unstructured":"Robin Ruede Markus M\u00fcller Sebastian St\u00fcker and Alex Waibel. 2017. Enhancing Backchannel Prediction Using Word Embeddings.. In Interspeech. 879--883.  Robin Ruede Markus M\u00fcller Sebastian St\u00fcker and Alex Waibel. 2017. Enhancing Backchannel Prediction Using Word Embeddings.. In Interspeech. 879--883.","DOI":"10.21437\/Interspeech.2017-1606"},{"volume-title":"Studies in the organization of conversational interaction","author":"Sacks Harvey","key":"e_1_3_2_2_37_1","unstructured":"Harvey Sacks , Emanuel A Schegloff , and Gail Jefferson . 1978. A simplest systematics for the organization of turn taking for conversation . In Studies in the organization of conversational interaction . Elsevier , 7-55. Harvey Sacks, Emanuel A Schegloff, and Gail Jefferson. 1978. A simplest systematics for the organization of turn taking for conversation. In Studies in the organization of conversational interaction. Elsevier, 7-55."},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"crossref","unstructured":"Tara Sainath and Carolina Parada. 2015. Convolutional neural networks for small-footprint keyword spotting. (2015).  Tara Sainath and Carolina Parada. 2015. Convolutional neural networks for small-footprint keyword spotting. (2015).","DOI":"10.21437\/Interspeech.2015-352"},{"key":"e_1_3_2_2_39_1","volume-title":"Overlapping talk and the organization of turn-taking for conversation. Language in society 29, 1","author":"Schegloff Emanuel A","year":"2000","unstructured":"Emanuel A Schegloff . 2000. Overlapping talk and the organization of turn-taking for conversation. Language in society 29, 1 ( 2000 ), 1--63. Publisher : Cambridge University Press . Emanuel A Schegloff. 2000. Overlapping talk and the organization of turn-taking for conversation. Language in society 29, 1 (2000), 1--63. Publisher: Cambridge University Press."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.1207\/s15327051hci1004_2"},{"volume-title":"ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","author":"Sridhar Kusha","key":"e_1_3_2_2_41_1","unstructured":"Kusha Sridhar , Ross Cutler , Ando Saabas , Tanel Parnamaa , Markus Loide , Hannes Gamper , Sebastian Braun , Robert Aichner , and Sriram Srinivasan . 2021. ICASSP 2021 acoustic echo cancellation challenge: Datasets, testing framework, and results . In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE , 151--155. Kusha Sridhar, Ross Cutler, Ando Saabas, Tanel Parnamaa, Markus Loide, Hannes Gamper, Sebastian Braun, Robert Aichner, and Sriram Srinivasan. 2021. ICASSP 2021 acoustic echo cancellation challenge: Datasets, testing framework, and results. In ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 151--155."},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/SLT.2016.7846306"},{"key":"e_1_3_2_2_43_1","volume-title":"rVAD: An unsupervised segmentbased robust voice activity detection method. Computer speech & language 59","author":"Tan Zheng-Hua","year":"2020","unstructured":"Zheng-Hua Tan , Najim Dehak , and others. 2020. rVAD: An unsupervised segmentbased robust voice activity detection method. Computer speech & language 59 ( 2020 ), 1--21. Publisher : Elsevier . Zheng-Hua Tan, Najim Dehak, and others. 2020. rVAD: An unsupervised segmentbased robust voice activity detection method. Computer speech & language 59 (2020), 1--21. Publisher: Elsevier."},{"key":"e_1_3_2_2_44_1","volume-title":"Utilizing Self-supervised Representations for MOS Prediction. arXiv preprint arXiv:2104.03017","author":"Tseng Wei-Cheng","year":"2021","unstructured":"Wei-Cheng Tseng , Chien-yu Huang, Wei-Tsung Kao , Yist Y Lin , and Hung-yi Lee. 2021. Utilizing Self-supervised Representations for MOS Prediction. arXiv preprint arXiv:2104.03017 ( 2021 ). Wei-Cheng Tseng, Chien-yu Huang, Wei-Tsung Kao, Yist Y Lin, and Hung-yi Lee. 2021. Utilizing Self-supervised Representations for MOS Prediction. arXiv preprint arXiv:2104.03017 (2021)."},{"key":"e_1_3_2_2_45_1","volume-title":"SUPERB: Speech processing Universal PERformance Benchmark. arXiv:2105.01051 [cs, eess] (Oct.","author":"Chi Po-Han","year":"2021","unstructured":"Shu-wen Yang, Po-Han Chi , Yung-Sung Chuang , Cheng- I. Jeff Lai , Kushal Lakhotia , Yist Y. Lin , Andy T. Liu , Jiatong Shi , Xuankai Chang , Guan-Ting Lin , Tzu-Hsien Huang , Wei-Cheng Tseng , Ko-tik Lee, Da-Rong Liu , Zili Huang , Shuyan Dong , Shang-Wen Li , Shinji Watanabe , Abdelrahman Mohamed , and Hung-yi Lee. 2021 . SUPERB: Speech processing Universal PERformance Benchmark. arXiv:2105.01051 [cs, eess] (Oct. 2021). http:\/\/arxiv.org\/abs\/2105.01051 arXiv: 2105.01051. Shu-wen Yang, Po-Han Chi, Yung-Sung Chuang, Cheng-I. Jeff Lai, Kushal Lakhotia, Yist Y. Lin, Andy T. Liu, Jiatong Shi, Xuankai Chang, Guan-Ting Lin, Tzu-Hsien Huang, Wei-Cheng Tseng, Ko-tik Lee, Da-Rong Liu, Zili Huang, Shuyan Dong, Shang-Wen Li, Shinji Watanabe, Abdelrahman Mohamed, and Hung-yi Lee. 2021. SUPERB: Speech processing Universal PERformance Benchmark. arXiv:2105.01051 [cs, eess] (Oct. 2021). http:\/\/arxiv.org\/abs\/2105.01051 arXiv: 2105.01051."}],"event":{"name":"MM '22: The 30th ACM International Conference on Multimedia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Lisboa Portugal","acronym":"MM '22"},"container-title":["Proceedings of the 30th ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3548379","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503161.3548379","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:00:44Z","timestamp":1750186844000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503161.3548379"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,10]]},"references-count":45,"alternative-id":["10.1145\/3503161.3548379","10.1145\/3503161"],"URL":"https:\/\/doi.org\/10.1145\/3503161.3548379","relation":{},"subject":[],"published":{"date-parts":[[2022,10,10]]},"assertion":[{"value":"2022-10-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}