{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T13:11:53Z","timestamp":1778159513923,"version":"3.51.4"},"publisher-location":"Cham","reference-count":44,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031150364","type":"print"},{"value":"9783031150371","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022]]},"DOI":"10.1007\/978-3-031-15037-1_30","type":"book-chapter","created":{"date-parts":[[2022,8,19]],"date-time":"2022-08-19T15:03:06Z","timestamp":1660921386000},"page":"369-383","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Becoming Attuned to Each Other Over Time: A Computational Neural Agent Model for the Role of Time Lags in Subjective Synchrony Detection and Related Behavioral Adaptivity"],"prefix":"10.1007","author":[{"given":"Sophie C. F.","family":"Hendrikse","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jan","family":"Treur","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tom F.","family":"Wilderjans","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Suzanne","family":"Dikker","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sander L.","family":"Koole","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,8,20]]},"reference":[{"issue":"4","key":"30_CR1","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1016\/S0166-2236(96)80018-X","volume":"19","author":"WC Abraham","year":"1996","unstructured":"Abraham, W.C., Bear, M.F.: Metaplasticity: the plasticity of synaptic plasticity. Trends Neurosci. 19(4), 126\u2013130 (1996)","journal-title":"Trends Neurosci."},{"key":"30_CR2","doi-asserted-by":"crossref","unstructured":"Accetto, M., Treur, J., Villa, V.: An adaptive cognitive-social model for mirroring and social bonding during synchronous joint action. Proc. BICA 2018. Procedia Computer Science, vol. 145, pp. 3\u201312 (2018)","DOI":"10.1016\/j.procs.2018.11.002"},{"key":"30_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1007\/978-3-642-25775-9_31","volume-title":"Analysis of verbal and nonverbal communication and enactment. The processing issues","author":"U Altmann","year":"2011","unstructured":"Altmann, U.: Investigation of movement synchrony using windowed cross-lagged regression. In: Esposito, A., Vinciarelli, A., Vicsi, K., Pelachaud, C., Nijholt, A. (eds.) Analysis of verbal and nonverbal communication and enactment. The processing issues. LNCS, vol. 6800, pp. 335\u2013345. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-25775-9_31"},{"key":"30_CR4","doi-asserted-by":"crossref","unstructured":"Behrens, F., Moulder, R.G., Boker, S.M., Kret, M.E.: Quantifying physiological synchrony through windowed cross-correlation analysis: Statistical and theoretical considerations. BioRxiv (2020)","DOI":"10.1101\/2020.08.27.269746"},{"key":"30_CR5","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.neubiorev.2017.04.007","volume":"78","author":"N Boot","year":"2017","unstructured":"Boot, N., Baas, M., Van Gaal, S., Cools, R., De Dreu, C.K.W.: Creative cognition and dopaminergic modulation of fronto-striatal networks: Integrative review and research agenda. Neurosci. Biobehav. Rev. 78, 13\u201323 (2017)","journal-title":"Neurosci. Biobehav. Rev."},{"key":"30_CR6","doi-asserted-by":"crossref","unstructured":"Chandra, N., Barkai, E.: A non-synaptic mechanism of complex learning: modulation of intrinsic neuronal excitability. Neurobiol. Learn. Mem. 154, 30\u201336 (2018)","DOI":"10.1016\/j.nlm.2017.11.015"},{"key":"30_CR7","unstructured":"Damasio, A.R.: The feeling of what happens: Body and emotion in the making of consciousness. Houghton Mifflin Harcourt (1999)"},{"key":"30_CR8","doi-asserted-by":"publisher","first-page":"73","DOI":"10.1016\/j.conb.2018.09.001","volume":"54","author":"D Debanne","year":"2019","unstructured":"Debanne, D., Inglebert, Y., Russier, M.: Plasticity of intrinsic neuronal excitability. Curr. Opin. Neurobiol. 54, 73\u201382 (2019)","journal-title":"Curr. Opin. Neurobiol."},{"key":"30_CR9","doi-asserted-by":"crossref","unstructured":"Dhamala, M., Assisi, C.G., Jirsa, V.K., Steinberg, F.L., Kelso, J.A.S.: Multisensory integration for timing engages different brain networks. NeuroImage 34, 764\u2013773 (2007)","DOI":"10.1016\/j.neuroimage.2006.07.044"},{"key":"30_CR10","doi-asserted-by":"publisher","unstructured":"Fairhurst, M.T., Janata, P., Keller, P.E.: Being and feeling in sync with an adaptive virtual partner: Brain mechanisms underlying dynamic cooperativity. Cereb. Cortex 23(11), 2592\u20132600 (2013). https:\/\/doi.org\/10.1093\/cercor\/bhs243","DOI":"10.1093\/cercor\/bhs243"},{"key":"30_CR11","doi-asserted-by":"crossref","unstructured":"Grandjean, D., Sander, D., Scherer, K.R.: Conscious emotional experience emerges as a function of multilevel, appraisal-driven response synchronization. Conscious. Cogn. 17(2), 484\u2013495 (2008)","DOI":"10.1016\/j.concog.2008.03.019"},{"key":"30_CR12","unstructured":"Hebb, D.O.: The organization of behavior: A neuropsychological theory. John Wiley and Sons, New York (1949)"},{"key":"30_CR13","doi-asserted-by":"crossref","unstructured":"Hendrikse, S.C.F., Kluiver, S., Treur, J., Wilderjans, T.F., Dikker, S., Koole, S.L.: How virtual agents can learn to synchronize: an adaptive joint decision-making model of psychotherapy. Proceedings of BICA 2021\u00a0 (2022a, to appear)","DOI":"10.1016\/j.cogsys.2022.12.009"},{"key":"30_CR14","doi-asserted-by":"publisher","unstructured":"Hendrikse, S.C.F., Treur, J., Wilderjans, T.F., Dikker, S., Koole, S.L.: On the same wavelengths: emergence of multiple synchronies among multiple agents. In: Van Dam, K.H., Verstaevel, N. (eds.) MABS 2021. LNCS (LNAI), vol. 13128, pp. 57\u201371. Springer, Cham (2022b). https:\/\/doi.org\/10.1007\/978-3-030-94548-0_5","DOI":"10.1007\/978-3-030-94548-0_5"},{"key":"30_CR15","unstructured":"Hendrikse, S.C.F., Treur, J., Wilderjans, T.F., Dikker, S., Koole, S.L.: A second-order multi-adaptive neural agent model for synchrony-related short- and long-term affiliation. In: Proceedings of the 18th International Conference on Artificial Intelligence Applications and Innovations, AIAI 2022. Advances in Information and Communication Technology, Springer Nature (2022c, in press)"},{"key":"30_CR16","doi-asserted-by":"crossref","unstructured":"Hesslow, G.: Conscious thought as simulation of behaviour and perception. Trends Cogn. Sci. 6, 242\u2013247 (2002)","DOI":"10.1016\/S1364-6613(02)01913-7"},{"issue":"6","key":"30_CR17","doi-asserted-by":"publisher","first-page":"949","DOI":"10.1521\/soco.2009.27.6.949","volume":"27","author":"MJ Hove","year":"2009","unstructured":"Hove, M.J., Risen, J.L.: It\u2019s all in the timing: interpersonal synchrony increases affiliation. Soc. Cogn. 27(6), 949\u2013960 (2009)","journal-title":"Soc. Cogn."},{"key":"30_CR18","doi-asserted-by":"crossref","unstructured":"Hu, Yin., Cheng, X., Pan,Y., Hu, Yi.: The intrapersonal and interpersonal consequences of interpersonal synchrony. Acta Psychol. 224, e103513 (2022)","DOI":"10.1016\/j.actpsy.2022.103513"},{"key":"30_CR19","doi-asserted-by":"publisher","unstructured":"Izawa, J., Rane, T., Donchin, O., Shadmehr, R.: Motor adaptation as a process of reoptimization. J. Neurosci.: Offic. J. Soc. Neurosci. 28(11), 2883\u20132891 (2008). https:\/\/doi.org\/10.1523\/JNEUROSCI.5359-07.2008","DOI":"10.1523\/JNEUROSCI.5359-07.2008"},{"key":"30_CR20","doi-asserted-by":"crossref","unstructured":"Keller, P.E., Novembre, G., Hove, M.J.: Rhythm in joint action: psychological and neurophysiological mechanisms for real-time interpersonal coordination. Philosoph. Trans. Roy. Soc. London, Ser. B. Biol. Sci. 369(1658), Article 20130394 (2014)","DOI":"10.1098\/rstb.2013.0394"},{"key":"30_CR21","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1016\/j.evolhumbehav.2010.04.004","volume":"31","author":"S Kirschner","year":"2010","unstructured":"Kirschner, S., Tomasello, M.: Joint music making promotes prosocial behavior in 4-year-old children. Evol. Hum. Behav. 31, 354\u2013364 (2010)","journal-title":"Evol. Hum. Behav."},{"key":"30_CR22","doi-asserted-by":"publisher","first-page":"862","DOI":"10.3389\/fpsyg.2016.00862","volume":"7","author":"SL Koole","year":"2016","unstructured":"Koole, S.L., Tschacher, W.: Synchrony in psychotherapy: a review and an integrative framework for the therapeutic alliance. Front. Psychol. 7, 862 (2016)","journal-title":"Front. Psychol."},{"key":"30_CR23","doi-asserted-by":"crossref","unstructured":"Koole, S.L., Tschacher, W., Butler, E., Dikker, S., Wilderjans, T.F.: In sync with your shrink. In: Forgas, J.P., Crano, W.D., Fiedler, K. (eds.) Applications of Social Psychology, pp. 161\u2013184. Taylor and Francis, Milton Park (2020)","DOI":"10.4324\/9780367816407-9"},{"key":"30_CR24","doi-asserted-by":"crossref","unstructured":"Pacherie, E.: The phenomenology of joint action: self-agency vs. joint-agency. In: A. Seeman (ed.), Joint Attention: New Developments, pp. 343\u2013389. MIT Press (2012)","DOI":"10.7551\/mitpress\/8841.003.0017"},{"issue":"2","key":"30_CR25","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1177\/1088868316628405","volume":"21","author":"RV Palumbo","year":"2017","unstructured":"Palumbo, R.V., et al.: Interpersonal autonomic physiology: a systematic review of the literature. Pers. Soc. Psychol. Rev. 21(2), 99\u2013141 (2017)","journal-title":"Pers. Soc. Psychol. Rev."},{"issue":"1","key":"30_CR26","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1037\/pne0000282","volume":"15","author":"K Prince","year":"2022","unstructured":"Prince, K., Brown, S.: Neural correlates of partnered interaction as revealed by cross-domain ALE meta-analysis. Psychol. Neurosci. 15(1), 1\u201313 (2022)","journal-title":"Psychol. Neurosci."},{"key":"30_CR27","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1037\/a0023419","volume":"79","author":"F Ramseyer","year":"2011","unstructured":"Ramseyer, F., Tschacher, W.: Nonverbal synchrony in psychotherapy: coordinated body movement reflects relationship quality and outcome. J. Consult. Clin. Psychol. 79, 284\u2013295 (2011)","journal-title":"J. Consult. Clin. Psychol."},{"issue":"1","key":"30_CR28","doi-asserted-by":"publisher","first-page":"6","DOI":"10.1111\/j.1467-9280.2008.02243.x","volume":"20","author":"K Rayner","year":"2009","unstructured":"Rayner, K., Smith, T.J., Malcolm, G.L., Henderson, J.M.: Eye movements and visual encoding during scene perception. Psychol. Sci. 20(1), 6\u201310 (2009)","journal-title":"Psychol. Sci."},{"key":"30_CR29","doi-asserted-by":"publisher","DOI":"10.1038\/ncomms13442","volume":"7","author":"BL Robinson","year":"2016","unstructured":"Robinson, B.L., Harper, N.S., McAlpine, D.: Meta-adaptation in the auditory midbrain under cortical influence. Nat. Commun. 7, e13442 (2016)","journal-title":"Nat. Commun."},{"issue":"2","key":"30_CR30","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0211494","volume":"14","author":"D Schoenherr","year":"2019","unstructured":"Schoenherr, D., et al.: Identification of movement synchrony: validation of windowed cross-lagged correlation and -regression with peak-picking algorithm. PLoS ONE 14(2), e0211494 (2019). https:\/\/doi.org\/10.1371\/journal.pone.0211494","journal-title":"PLoS ONE"},{"issue":"1","key":"30_CR31","doi-asserted-by":"publisher","first-page":"361","DOI":"10.3758\/s13428-018-1139-z","volume":"51","author":"D Schoenherr","year":"2018","unstructured":"Schoenherr, D., et al.: Quantification of nonverbal synchrony using linear time series analysis methods: lack of convergent validity and evidence for facets of synchrony. Behav. Res. Methods 51(1), 361\u2013383 (2018). https:\/\/doi.org\/10.3758\/s13428-018-1139-z","journal-title":"Behav. Res. Methods"},{"key":"30_CR32","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1080\/09515070110088843","volume":"14","author":"CF Sharpley","year":"2001","unstructured":"Sharpley, C.F., Halat, J., Rabinowicz, T., Weiland, B., Stafford, J.: Standard posture, postural mirroring and client-perceived rapport. Couns. Psychol. Q. 14, 267\u2013280 (2001). https:\/\/doi.org\/10.1080\/09515070110088843","journal-title":"Couns. Psychol. Q."},{"key":"30_CR33","doi-asserted-by":"crossref","unstructured":"Shatz, C.J.: The developing brain. Sci. Am. 267, 60\u201367 (1992)","DOI":"10.1038\/scientificamerican0992-60"},{"issue":"1","key":"30_CR34","doi-asserted-by":"publisher","first-page":"30","DOI":"10.4236\/nm.2010.11004","volume":"1","author":"J Shelton","year":"2010","unstructured":"Shelton, J., Kumar, G.: Comparison between auditory and visual simple reaction times. Neurosci. Med. 1(1), 30\u201332 (2010)","journal-title":"Neurosci. Med."},{"issue":"5","key":"30_CR35","doi-asserted-by":"publisher","first-page":"343","DOI":"10.1016\/j.evolhumbehav.2016.02.004","volume":"37","author":"B Tarr","year":"2016","unstructured":"Tarr, B., Launay, J., Dunbar, R.I.M.: Silent disco: dancing in synchrony leads to elevated pain thresholds and social closeness. Evol. Hum. Beh. 37(5), 343\u2013349 (2016)","journal-title":"Evol. Hum. Beh."},{"issue":"4","key":"30_CR36","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0094215","volume":"9","author":"JJ Thompson","year":"2014","unstructured":"Thompson, J.J., Blair, M.R., Henrey, A.J.: Over the hill at 24: persistent age-related cognitive-motor decline in reaction times in an ecologically valid video game task begins in early adulthood. PLoS ONE 9(4), e94215 (2014)","journal-title":"PLoS ONE"},{"key":"30_CR37","doi-asserted-by":"publisher","unstructured":"Treur, J.: Network-oriented modeling for adaptive networks: designing higher-order adaptive biological, mental and social network models. SSDC, vol. 251. Springer, Cham (2020a). https:\/\/doi.org\/10.1007\/978-3-030-31445-3","DOI":"10.1007\/978-3-030-31445-3"},{"key":"30_CR38","doi-asserted-by":"crossref","unstructured":"Treur, J.: Modeling multi-order adaptive processes by self-modeling networks (Keynote Speech). In: Tall\u00f3n-Ballesteros, A.J., Chen, C.-H. (eds.) Proceedings of the 2nd International Conference on Machine Learning and Intelligent Systems, MLIS 2020. Frontiers in Artificial Intelligence and Applications, vol. 332, p. 206\u2013217. IOS Press (2020b)","DOI":"10.3233\/FAIA200784"},{"key":"30_CR39","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1016\/j.cogsys.2021.07.003","volume":"70","author":"J Treur","year":"2021","unstructured":"Treur, J.: On the dynamics and adaptivity of mental processes: relating adaptive dynamical systems and self-modeling network models by mathematical analysis. Cogn. Syst. Res. 70, 93\u2013100 (2021)","journal-title":"Cogn. Syst. Res."},{"issue":"2","key":"30_CR40","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1111\/jopy.12298","volume":"86","author":"W Tschacher","year":"2018","unstructured":"Tschacher, W., Ramseyer, F., Koole, S.L.: Sharing the now in the social present: Duration of nonverbal synchrony is linked with personality. J. Pers. 86(2), 129\u2013138 (2018)","journal-title":"J. Pers."},{"key":"30_CR41","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1037\/a0021302","volume":"11","author":"P Valdesolo","year":"2011","unstructured":"Valdesolo, P., DeSteno, D.: Synchrony and the social tuning of compassion. Emotion 11, 262 (2011). https:\/\/doi.org\/10.1037\/a0021302","journal-title":"Emotion"},{"issue":"4","key":"30_CR42","doi-asserted-by":"publisher","first-page":"693","DOI":"10.1016\/j.jesp.2010.03.004","volume":"46","author":"P Valdesolo","year":"2010","unstructured":"Valdesolo, P., Ouyang, J., DeSteno, D.: The rhythm of joint action: Synchrony promotes cooperative ability. J. Exp. Soc. Psychol. 46(4), 693\u2013695 (2010)","journal-title":"J. Exp. Soc. Psychol."},{"issue":"1","key":"30_CR43","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1111\/j.1467-9280.2008.02253.x","volume":"20","author":"SS Wiltermuth","year":"2009","unstructured":"Wiltermuth, S.S., Heath, C.: Synchrony and cooperation. Psychol. Sci. 20(1), 1\u20135 (2009)","journal-title":"Psychol. Sci."},{"key":"30_CR44","doi-asserted-by":"publisher","unstructured":"Zhang, A., Li, X., Gao, Y., Niu, Y.: Event-Driven Intrinsic Plasticity for Spiking Convolutional Neural Networks.IEEE Trans. Neural Netw. Learn. Syst. (2021). https:\/\/doi.org\/10.1109\/tnnls.2021.3084955","DOI":"10.1109\/tnnls.2021.3084955"}],"container-title":["Lecture Notes in Computer Science","Brain Informatics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-15037-1_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,25]],"date-time":"2023-11-25T23:24:13Z","timestamp":1700954653000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-15037-1_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"ISBN":["9783031150364","9783031150371"],"references-count":44,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-15037-1_30","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]},"assertion":[{"value":"20 August 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Brain Informatics","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Padua","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2022","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 July 2022","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 July 2022","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"brain2022","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/wi-consortium.org\/conferences\/bi2022\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Cyber Chair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"65","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"29","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"45% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}