{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T01:25:37Z","timestamp":1743038737519,"version":"3.40.3"},"publisher-location":"Cham","reference-count":56,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031347344"},{"type":"electronic","value":"9783031347351"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"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":[[2023]]},"DOI":"10.1007\/978-3-031-34735-1_19","type":"book-chapter","created":{"date-parts":[[2023,7,8]],"date-time":"2023-07-08T23:04:27Z","timestamp":1688857467000},"page":"265-284","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Exploring the\u00a0Individual Differences in\u00a0Multidimensional Evolution of\u00a0Knowledge States of\u00a0Learners"],"prefix":"10.1007","author":[{"given":"Liang","family":"Zhang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"suffix":"Jr.","given":"Philip I.","family":"Pavlik","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangen","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jody L.","family":"Cockroft","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lijia","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Genghu","family":"Shi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,7,9]]},"reference":[{"issue":"3","key":"19_CR1","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1007\/s10209-010-0207-7","volume":"10","author":"A Grani\u0107","year":"2011","unstructured":"Grani\u0107, A., Adams, R.: User sensitive research in e-learning: exploring the role of individual user characteristics. Univ. Access Inf. Soc. 10(3), 307\u2013318 (2011)","journal-title":"Univ. Access Inf. Soc."},{"key":"19_CR2","unstructured":"O\u2019Shea, T., et al.: Tools for creating intelligent computer tutors. In: Proceedings of the International NATO Symposium on Artificial and Human Intelligence, pp. 181\u2013199 (1984)"},{"key":"19_CR3","doi-asserted-by":"publisher","first-page":"607","DOI":"10.1016\/j.chb.2017.03.041","volume":"76","author":"AC Graesser","year":"2017","unstructured":"Graesser, A.C., et al.: Assessment with computer agents that engage in conversational dialogues and trialogues with learners. Comput. Hum. Behav. 76, 607\u2013616 (2017)","journal-title":"Comput. Hum. Behav."},{"issue":"1","key":"19_CR4","doi-asserted-by":"publisher","first-page":"142","DOI":"10.1080\/10494820.2018.1558257","volume":"29","author":"E Mousavinasab","year":"2021","unstructured":"Mousavinasab, E., et al.: Intelligent tutoring systems: a systematic review of characteristics, applications, and evaluation methods. Interact. Learn. Environ. 29(1), 142\u2013163 (2021)","journal-title":"Interact. Learn. Environ."},{"key":"19_CR5","volume-title":"Building Intelligent Interactive Tutors: Student-Centered Strategies for Revolutionizing e-Learning","author":"BP Woolf","year":"2010","unstructured":"Woolf, B.P.: Building Intelligent Interactive Tutors: Student-Centered Strategies for Revolutionizing e-Learning. Morgan Kaufmann, Burlington (2010)"},{"key":"19_CR6","doi-asserted-by":"crossref","unstructured":"Egan, D.E.: Individual differences in human-computer interaction. In: Handbook of Human-Computer Interaction, pp. 543\u2013568. Elsevier (1988)","DOI":"10.1016\/B978-0-444-70536-5.50029-4"},{"key":"19_CR7","unstructured":"Kuurstra, J.: Individual differences in human-computer interaction: a review of empirical studies (2015)"},{"key":"19_CR8","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-1954-9","volume-title":"Simulation and Learning","author":"F Landriscina","year":"2013","unstructured":"Landriscina, F.: Simulation and Learning. Springer, Heidelberg (2013)"},{"key":"19_CR9","unstructured":"MacLellan, C.J.: Computational models of human learning: applications for tutor development, behavior prediction, and theory testing. Ph.D. thesis. Carnegie Mellon University (2017)"},{"key":"19_CR10","doi-asserted-by":"crossref","unstructured":"Illeris, K: A comprehensive understanding of human learning. In: Contemporary Theories of Learning, pp. 1\u201314. Routledge (2018)","DOI":"10.4324\/9781315147277-1"},{"issue":"4","key":"19_CR11","doi-asserted-by":"publisher","first-page":"253","DOI":"10.1007\/BF01099821","volume":"4","author":"AT Corbett","year":"1994","unstructured":"Corbett, A.T., Anderson, J.R.: Knowledge tracing: modeling the acquisition of procedural knowledge. User Model. User-adapted Interact. 4(4), 253\u2013278 (1994)","journal-title":"User Model. User-adapted Interact."},{"key":"19_CR12","first-page":"3","volume":"4","author":"JH Block","year":"1976","unstructured":"Block, J.H., Burns, R.B.: Mastery learning. Review Res. Educ. 4, 3\u201349 (1976)","journal-title":"Review Res. Educ."},{"key":"19_CR13","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1007\/978-3-642-13470-8_24","volume-title":"User Modeling, Adaptation, and Personalization","author":"ZA Pardos","year":"2010","unstructured":"Pardos, Z.A., Heffernan, N.T.: Modeling individualization in a Bayesian networks implementation of knowledge tracing. In: De Bra, P., Kobsa, A., Chin, D. (eds.) UMAP 2010. LNCS, vol. 6075, pp. 255\u2013266. Springer, Heidelberg (2010). https:\/\/doi.org\/10.1007\/978-3-642-13470-8_24"},{"issue":"1","key":"19_CR14","doi-asserted-by":"publisher","first-page":"711","DOI":"10.1007\/s10639-018-9792-5","volume":"24","author":"A Trifa","year":"2019","unstructured":"Trifa, A., Hedhili, A., Chaari, W.L.: Knowledge tracing with an intelligent agent, in an e-learning platform. Educ. Inf. Technol. 24(1), 711\u2013741 (2019)","journal-title":"Educ. Inf. Technol."},{"issue":"5","key":"19_CR15","doi-asserted-by":"publisher","first-page":"624","DOI":"10.1109\/TLT.2021.3128569","volume":"14","author":"PI Pavlik","year":"2021","unstructured":"Pavlik, P.I., Eglington, L.G., Harrell-Williams, L.M.: Logistic knowledge tracing: a constrained framework for learner modeling. IEEE Trans. Learn. Technol. 14(5), 624\u2013639 (2021)","journal-title":"IEEE Trans. Learn. Technol."},{"issue":"1","key":"19_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40561-016-0038-y","volume":"3","author":"A Essa","year":"2016","unstructured":"Essa, A.: A possible future for next generation adaptive learning systems. Smart Learn. Environ. 3(1), 1\u201324 (2016)","journal-title":"Smart Learn. Environ."},{"key":"19_CR17","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1017\/CBO9781139049580.006","volume":"46","author":"P Brusilovsky","year":"2012","unstructured":"Brusilovsky, P.: Adaptive hypermedia for education and training. Adapt. Technol. Training Educ. 46, 46\u201368 (2012)","journal-title":"Adapt. Technol. Training Educ."},{"key":"19_CR18","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"413","DOI":"10.1007\/3-540-55606-0_49","volume-title":"Intelligent Tutoring Systems","author":"AT Corbett","year":"1992","unstructured":"Corbett, A.T., Anderson, J.R.: Student modeling and mastery learning in a computer-based programming tutor. In: Frasson, C., Gauthier, G., McCalla, G.I. (eds.) ITS 1992. LNCS, vol. 608, pp. 413\u2013420. Springer, Heidelberg (1992). https:\/\/doi.org\/10.1007\/3-540-55606-0_49"},{"key":"19_CR19","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3569576","volume":"55","author":"G Abdelrahman","year":"2022","unstructured":"Abdelrahman, G., Wang, Q., Nunes, B.P.: Knowledge tracing: a survey. ACM Comput. Surv. 55, 1\u201337 (2022)","journal-title":"ACM Comput. Surv."},{"key":"19_CR20","doi-asserted-by":"crossref","unstructured":"Embretson, S.E., Reise, S.P.: Item Response Theory. Psychology Press (2013)","DOI":"10.4324\/9781410605269"},{"key":"19_CR21","unstructured":"Barnes, T.: The Q-matrix method: mining student response data for knowledge. In: American Association for Artificial Intelligence 2005 Educational Data Mining Workshop, Pittsburgh, PA, USA, pp. 1\u20138. AAAI Press (2005)"},{"key":"19_CR22","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"796","DOI":"10.1007\/978-3-540-69132-7_111","volume-title":"Intelligent Tutoring Systems","author":"H Cen","year":"2008","unstructured":"Cen, H., Koedinger, K., Junker, B.: Comparing two IRT models for conjunctive skills. In: Woolf, B.P., A\u00efmeur, E., Nkambou, R., Lajoie, S. (eds.) ITS 2008. LNCS, vol. 5091, pp. 796\u2013798. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-69132-7_111"},{"key":"19_CR23","unstructured":"Pavlik, P.I., Jr., Cen, H., Koedinger, K.R.: Performance factors analysis\u2013a new alternative to knowledge tracing. Online Submission (2009)"},{"key":"19_CR24","series-title":"Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence)","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1007\/978-3-642-39112-5_18","volume-title":"Artificial Intelligence in Education","author":"MV Yudelson","year":"2013","unstructured":"Yudelson, M.V., Koedinger, K.R., Gordon, G.J.: Individualized Bayesian knowledge tracing models. In: Lane, H.C., Yacef, K., Mostow, J., Pavlik, P. (eds.) AIED 2013. LNCS (LNAI), vol. 7926, pp. 171\u2013180. Springer, Heidelberg (2013). https:\/\/doi.org\/10.1007\/978-3-642-39112-5_18"},{"issue":"4","key":"19_CR25","doi-asserted-by":"publisher","first-page":"450","DOI":"10.1109\/TLT.2017.2689017","volume":"10","author":"T K\u00e4ser","year":"2017","unstructured":"K\u00e4ser, T., et al.: Dynamic Bayesian networks for student modeling. IEEE Trans. Learn. Technol. 10(4), 450\u2013462 (2017)","journal-title":"IEEE Trans. Learn. Technol."},{"key":"19_CR26","unstructured":"Lan, A.S., et al.: Sparse factor analysis for learning and content analytics. arXiv preprint arXiv:1303.5685 (2013)"},{"key":"19_CR27","unstructured":"Sahebi, S., Lin, Y.-R., Brusilovsky, P.: Tensor factorization for student modeling and performance prediction in unstructured domain. In: International Educational Data Mining Society (2016)"},{"key":"19_CR28","unstructured":"Sahebi, S., Huang, Y., Brusilovsky, P.: Parameterized exercises in Java programming: using knowledge structure for performance prediction. In: The Second Workshop on AI-Supported Education for Computer Science (AIEDCS), University of Pittsburgh, pp. 61\u201370 (2014)"},{"key":"19_CR29","unstructured":"Doan, T.-N., Sahebi, S.: Rank-based tensor factorization for student performance prediction. In: 12th International Conference on Educational Data Mining (EDM) (2019)"},{"key":"19_CR30","doi-asserted-by":"crossref","unstructured":"Karatzoglou, A., et al.: Multiverse recommendation: N-dimensional tensor factorization for context-aware collaborative filtering. In: Proceedings of the Fourth ACM Conference on Recommender Systems, pp. 79\u201386 (2010)","DOI":"10.1145\/1864708.1864727"},{"key":"19_CR31","doi-asserted-by":"crossref","unstructured":"Graesser, A.C., et al.: Reading comprehension lessons in AutoTutor for the Center for the Study of Adult Literacy. In: Adaptive Educational Technologies for Literacy Instruction, pp. 288\u2013293. Routledge (2016)","DOI":"10.4324\/9781315647500-22"},{"issue":"5","key":"19_CR32","doi-asserted-by":"publisher","first-page":"374","DOI":"10.1177\/0963721414540680","volume":"23","author":"AC Graesser","year":"2014","unstructured":"Graesser, A.C., Li, H., Forsyth, C.: Learning by communicating in natural language with conversational agents. Curr. Dir. Psychol. Sci. 23(5), 374\u2013380 (2014)","journal-title":"Curr. Dir. Psychol. Sci."},{"key":"19_CR33","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"604","DOI":"10.1007\/978-3-030-22341-0_47","volume-title":"Adaptive Instructional Systems","author":"Y Fang","year":"2019","unstructured":"Fang, Y., Lippert, A., Cai, Z., Hu, X., Graesser, A.C.: A conversation-based intelligent tutoring system benefits adult readers with low literacy skills. In: Sottilare, R.A., Schwarz, J. (eds.) HCII 2019. LNCS, vol. 11597, pp. 604\u2013614. Springer, Cham (2019). https:\/\/doi.org\/10.1007\/978-3-030-22341-0_47"},{"issue":"2","key":"19_CR34","doi-asserted-by":"publisher","first-page":"210","DOI":"10.1086\/678293","volume":"115","author":"AC Graesser","year":"2014","unstructured":"Graesser, A.C., et al.: Coh-Metrix measures text characteristics at multiple levels of language and discourse. Elementary Sch. J. 115(2), 210\u2013229 (2014)","journal-title":"Elementary Sch. J."},{"key":"19_CR35","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511894664","volume-title":"Automated Evaluation of Text and Discourse with Coh-Metrix","author":"DS McNamara","year":"2014","unstructured":"McNamara, D.S., et al.: Automated Evaluation of Text and Discourse with Coh-Metrix. Cambridge University Press, Cambridge (2014)"},{"key":"19_CR36","unstructured":"Newell, A., Simon, H.A., et al.: Human Problem Solving, vol. 104. 9. Prentice-Hall, Englewood Cliffs (1972)"},{"key":"19_CR37","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"164","DOI":"10.1007\/11774303_17","volume-title":"Intelligent Tutoring Systems","author":"H Cen","year":"2006","unstructured":"Cen, H., Koedinger, K., Junker, B.: Learning factors analysis\u2013a general method for cognitive model evaluation and improvement. In: Ikeda, M., Ashley, K.D., Chan, T.-W. (eds.) ITS 2006. LNCS, vol. 4053, pp. 164\u2013175. Springer, Heidelberg (2006). https:\/\/doi.org\/10.1007\/11774303_17"},{"issue":"5","key":"19_CR38","doi-asserted-by":"publisher","first-page":"757","DOI":"10.1111\/j.1551-6709.2012.01245.x","volume":"36","author":"KR Koedinger","year":"2012","unstructured":"Koedinger, K.R., Corbett, A.T., Perfetti, C.: The knowledge-learning-instruction framework: bridging the science-practice chasm to enhance robust student learning. Cogn. Sci. 36(5), 757\u2013798 (2012)","journal-title":"Cogn. Sci."},{"key":"19_CR39","first-page":"165","volume":"1","author":"V Aleven","year":"2013","unstructured":"Aleven, V., Koedinger, K.R.: Knowledge component (KC) approaches to learner modeling. Des. Recommendations Intell. Tutoring Syst. 1, 165\u2013182 (2013)","journal-title":"Des. Recommendations Intell. Tutoring Syst."},{"key":"19_CR40","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1007\/978-3-642-22362-4_27","volume-title":"User Modeling, Adaption and Personalization","author":"M Yudelson","year":"2011","unstructured":"Yudelson, M., Pavlik, P.I., Koedinger, K.R.: User modeling\u2013a notoriously black art. In: Konstan, J.A., Conejo, R., Marzo, J.L., Oliver, N. (eds.) UMAP 2011. LNCS, vol. 6787, pp. 317\u2013328. Springer, Heidelberg (2011). https:\/\/doi.org\/10.1007\/978-3-642-22362-4_27"},{"key":"19_CR41","unstructured":"Chi, M., et al.: Instructional factors analysis: a cognitive model for multiple instructional interventions. In: EDM 2011, pp. 61\u201370 (2011)"},{"key":"19_CR42","doi-asserted-by":"crossref","unstructured":"Eglington, L.G., Pavlik, P.I., Jr.: How to optimize student learning using student models that adapt rapidly to individual differences. Int. J. Artif. Intell. Educ. 1\u201322 (2022)","DOI":"10.1007\/s40593-022-00296-0"},{"key":"19_CR43","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"406","DOI":"10.1007\/978-3-540-69132-7_44","volume-title":"Intelligent Tutoring Systems","author":"RSJ Baker","year":"2008","unstructured":"Baker, R.S.J., Corbett, A.T., Aleven, V.: More accurate student modeling through contextual estimation of slip and guess probabilities in Bayesian knowledge tracing. In: Woolf, B.P., A\u00efmeur, E., Nkambou, R., Lajoie, S. (eds.) ITS 2008. LNCS, vol. 5091, pp. 406\u2013415. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-69132-7_44"},{"key":"19_CR44","unstructured":"Baker, R.S.J., Corbett, A.T., Aleven, V.: Improving contextual models of guessing and slipping with a truncated training set (2008)"},{"issue":"2","key":"19_CR45","first-page":"1","volume":"5","author":"B van De Sande","year":"2013","unstructured":"van De Sande, B.: Properties of the Bayesian knowledge tracing model. J. Educ. Data Min. 5(2), 1\u201310 (2013)","journal-title":"J. Educ. Data Min."},{"key":"19_CR46","doi-asserted-by":"crossref","unstructured":"Wang, D., et al.: Traditional knowledge tracing models for clustered students (2021)","DOI":"10.26855\/er.2020.12.005"},{"key":"19_CR47","unstructured":"Lan, A.S., Studer, C., Baraniuk, R.G.: Quantized matrix completion for personalized learning. arXiv preprint arXiv:1412.5968 (2014)"},{"key":"19_CR48","doi-asserted-by":"crossref","unstructured":"Lan, A.S., Studer, C., Baraniuk, R.G.: Matrix recovery from quantized and corrupted measurements. In: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 4973\u20134977. IEEE (2014)","DOI":"10.1109\/ICASSP.2014.6854548"},{"issue":"1","key":"19_CR49","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1137\/080716542","volume":"2","author":"A Beck","year":"2009","unstructured":"Beck, A., Teboulle, M.: A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM J. Imaging Sci. 2(1), 183\u2013202 (2009)","journal-title":"SIAM J. Imaging Sci."},{"issue":"4","key":"19_CR50","doi-asserted-by":"publisher","first-page":"1956","DOI":"10.1137\/080738970","volume":"20","author":"J-F Cai","year":"2010","unstructured":"Cai, J.-F., Cand\u00e8s, E.J., Shen, Z.: A singular value thresholding algorithm for matrix completion. SIAM J. Optim. 20(4), 1956\u20131982 (2010)","journal-title":"SIAM J. Optim."},{"key":"19_CR51","unstructured":"Shi, G., Pavlik, P., Jr., Graesser, A.: Using an additive factor model and performance factor analysis to assess learning gains in a tutoring system to help adults with reading difficulties. In: Grantee Submission (2017)"},{"key":"19_CR52","unstructured":"Shi, G., et al.: Diagnostic assessment of adults\u2019 reading deficiencies in an intelligent tutoring system. In: ITS Workshops, pp. 105\u2013112 (2018)"},{"issue":"2","key":"19_CR53","doi-asserted-by":"publisher","first-page":"615","DOI":"10.1007\/s41237-018-0065-9","volume":"45","author":"G Shi","year":"2018","unstructured":"Shi, G., et al.: Exploring an intelligent tutoring system as a conversation-based assessment tool for reading comprehension. Behaviormetrika 45(2), 615\u2013633 (2018). https:\/\/doi.org\/10.1007\/s41237-018-0065-9","journal-title":"Behaviormetrika"},{"issue":"1","key":"19_CR54","doi-asserted-by":"publisher","first-page":"21","DOI":"10.1146\/annurev.ps.32.020181.000321","volume":"32","author":"WA Wickelgren","year":"1981","unstructured":"Wickelgren, W.A.: Human learning and memory. Ann. Rev. Psychol. 32(1), 21\u201352 (1981)","journal-title":"Ann. Rev. Psychol."},{"key":"19_CR55","unstructured":"Newell, A., Rosenbloom, P.S.: Mechanisms of skill acquisition and the law of practice. Technical report. Carnegie-Mellon University, Pittsburgh, PA, Department of Computer Science (1980)"},{"key":"19_CR56","doi-asserted-by":"crossref","unstructured":"DeKeyser, R.: Skill acquisition theory. In: Theories in Second Language Acquisition, pp. 83\u2013104. Routledge (2020)","DOI":"10.4324\/9780429503986-5"}],"container-title":["Lecture Notes in Computer Science","Adaptive Instructional Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-34735-1_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,8]],"date-time":"2023-07-08T23:24:45Z","timestamp":1688858685000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-34735-1_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031347344","9783031347351"],"references-count":56,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-34735-1_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"9 July 2023","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":"Copenhagen","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Denmark","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"23 July 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 July 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"25","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2023.hci.international\/","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":"CMS","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"7472","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":"1578","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":"396","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":"21% - 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":"2","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)"}}]}}