{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,26]],"date-time":"2025-05-26T15:26:31Z","timestamp":1748273191016,"version":"3.40.3"},"publisher-location":"Cham","reference-count":53,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031350160"},{"type":"electronic","value":"9783031350177"}],"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\/978-3-031-35017-7_3","type":"book-chapter","created":{"date-parts":[[2023,7,8]],"date-time":"2023-07-08T23:04:27Z","timestamp":1688857467000},"page":"26-45","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Mental Face Image Retrieval Based on\u00a0a\u00a0Closed-Loop Brain-Computer Interface"],"prefix":"10.1007","author":[{"given":"Nona","family":"Rajabi","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Charles","family":"Chernik","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alfredo","family":"Reichlin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Farzaneh","family":"Taleb","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miguel","family":"Vasco","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ali","family":"Ghadirzadeh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"M\u00e5rten","family":"Bj\u00f6rkman","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danica","family":"Kragic","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,7,9]]},"reference":[{"issue":"10","key":"3_CR1","doi-asserted-by":"publisher","first-page":"590","DOI":"10.1016\/j.tics.2015.08.003","volume":"19","author":"J Pearson","year":"2015","unstructured":"Pearson, J., Naselaris, T., Holmes, E.A., Kosslyn, S.M.: Mental imagery: functional mechanisms and clinical applications. Trends Cogn. Sci. 19(10), 590\u2013602 (2015)","journal-title":"Trends Cogn. Sci."},{"key":"3_CR2","doi-asserted-by":"publisher","first-page":"601","DOI":"10.1016\/B978-0-12-375000-6.00231-7","volume-title":"Encyclopedia of Human Behavior","author":"G Ganis","year":"2012","unstructured":"Ganis, G.: Mental imagery. In: Ramachandran, V. (ed.) Encyclopedia of Human Behavior, 2nd edn., pp. 601\u2013607. Academic Press, San Diego (2012)","edition":"2"},{"issue":"10","key":"3_CR3","doi-asserted-by":"publisher","first-page":"624","DOI":"10.1038\/s41583-019-0202-9","volume":"20","author":"J Pearson","year":"2019","unstructured":"Pearson, J.: The human imagination: the cognitive neuroscience of visual mental imagery. Nat. Rev. Neurosci. 20(10), 624\u2013634 (2019)","journal-title":"Nat. Rev. Neurosci."},{"doi-asserted-by":"crossref","unstructured":"Du, C., Du, C., He, H.: Sharing deep generative representation for perceived image reconstruction from human brain activity. In: 2017 International Joint Conference on Neural Networks (IJCNN), pp. 1049\u20131056. IEEE (2017)","key":"3_CR4","DOI":"10.1109\/IJCNN.2017.7965968"},{"unstructured":"Zhang, X., Chen, X., Dong, M., Liu, H., Ge, C., Yao, L.: Multi-task generative adversarial learning on geometrical shape reconstruction from EEG brain signals. arXiv preprint arXiv:1907.13351 (2019)","key":"3_CR5"},{"issue":"19","key":"3_CR6","doi-asserted-by":"publisher","first-page":"1641","DOI":"10.1016\/j.cub.2011.08.031","volume":"21","author":"S Nishimoto","year":"2011","unstructured":"Nishimoto, S., Vu, A.T., Naselaris, T., Benjamini, Y., Yu, B., Gallant, J.L.: Reconstructing visual experiences from brain activity evoked by natural movies. Curr. Biol. 21(19), 1641\u20131646 (2011)","journal-title":"Curr. Biol."},{"doi-asserted-by":"crossref","unstructured":"Shen, G., Horikawa, T., Majima, K., Kamitani, Y.: Deep image reconstruction from human brain activity. PLoS Comput. Biol. 15(1), e1006633 (2019)","key":"3_CR7","DOI":"10.1371\/journal.pcbi.1006633"},{"doi-asserted-by":"crossref","unstructured":"Gaziv, G., et al.: Self-supervised natural image reconstruction and large-scale semantic classification from brain activity. Neuroimage 254, 119121 (2022)","key":"3_CR8","DOI":"10.1016\/j.neuroimage.2022.119121"},{"issue":"6","key":"3_CR9","doi-asserted-by":"publisher","first-page":"902","DOI":"10.1016\/j.neuron.2009.09.006","volume":"63","author":"T Naselaris","year":"2009","unstructured":"Naselaris, T., Prenger, R.J., Kay, K.N., Oliver, M., Gallant, J.L.: Bayesian reconstruction of natural images from human brain activity. Neuron 63(6), 902\u2013915 (2009)","journal-title":"Neuron"},{"unstructured":"Kavasidis, I., Palazzo, S., Spampinato, C., Giordano, D., Shah, M.: Brain2image: converting brain signals into images. In: Proceedings of the 25th ACM International Conference on Multimedia, pp. 1809\u20131817 (2017)","key":"3_CR10"},{"key":"3_CR11","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"637","DOI":"10.1007\/11527923_66","volume-title":"Audio- and Video-Based Biometric Person Authentication","author":"Y Fang","year":"2005","unstructured":"Fang, Y., Geman, D.: Experiments in mental face retrieval. In: Kanade, T., Jain, A., Ratha, N.K. (eds.) AVBPA 2005. LNCS, vol. 3546, pp. 637\u2013646. Springer, Heidelberg (2005). https:\/\/doi.org\/10.1007\/11527923_66"},{"issue":"6","key":"3_CR12","doi-asserted-by":"publisher","first-page":"1087","DOI":"10.1109\/TPAMI.2008.259","volume":"31","author":"M Ferecatu","year":"2008","unstructured":"Ferecatu, M., Geman, D.: A statistical framework for image category search from a mental picture. IEEE Trans. Pattern Anal. Mach. Intell. 31(6), 1087\u20131101 (2008)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"doi-asserted-by":"crossref","unstructured":"Pohlmeyer, E.A., Wang, J., Jangraw, D.C., Lou, B., Chang, S.F., Sajda, P.: Closing the loop in cortically-coupled computer vision: a brain-computer interface for searching image databases. J. Neural Eng. 8(3), 036025 (2011)","key":"3_CR13","DOI":"10.1088\/1741-2560\/8\/3\/036025"},{"doi-asserted-by":"crossref","unstructured":"U\u0161\u0107umli\u0107, M., Chavarriaga, R., Mill\u00e1n, J.D.R.: An iterative framework for EEG-based image search: robust retrieval with weak classifiers. PloS One 8(8), e72018 (2013)","key":"3_CR14","DOI":"10.1371\/journal.pone.0072018"},{"doi-asserted-by":"crossref","unstructured":"Ukkonen, A., Joona, P., Ruotsalo, T.: Generating images instead of retrieving them: Relevance feedback on generative adversarial networks. In: Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1329\u20131338 (2020)","key":"3_CR15","DOI":"10.1145\/3397271.3401129"},{"issue":"1","key":"3_CR16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-020-71287-1","volume":"10","author":"L Kangassalo","year":"2020","unstructured":"Kangassalo, L., Spap\u00e9, M., Ruotsalo, T.: Neuroadaptive modelling for generating images matching perceptual categories. Sci. Rep. 10(1), 1\u201310 (2020)","journal-title":"Sci. Rep."},{"unstructured":"Spape, M., Davis, K., Kangassalo, L., Ravaja, N., Sovijarvi-Spape, Z., Ruotsalo, T.: Brain-computer interface for generating personally attractive images. IEEE Trans. Affect. Comput. 1(1) (2021)","key":"3_CR17"},{"doi-asserted-by":"crossref","unstructured":"Luck, S.J.: Event-related potentials (2012)","key":"3_CR18","DOI":"10.1037\/13619-028"},{"issue":"6","key":"3_CR19","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1016\/j.tics.2007.04.004","volume":"11","author":"MD Rugg","year":"2007","unstructured":"Rugg, M.D., Curran, T.: Event-related potentials and recognition memory. Trends Cogn. Sci. 11(6), 251\u2013257 (2007)","journal-title":"Trends Cogn. Sci."},{"issue":"1","key":"3_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1162\/jocn.1993.5.1.1","volume":"5","author":"ME Smith","year":"1993","unstructured":"Smith, M.E.: Neurophysiological manifestations of recollective experience during recognition memory judgments. J. Cogn. Neurosci. 5(1), 1\u201313 (1993)","journal-title":"J. Cogn. Neurosci."},{"issue":"4","key":"3_CR21","doi-asserted-by":"publisher","first-page":"2","DOI":"10.1167\/5.4.2","volume":"5","author":"JS Johnson","year":"2005","unstructured":"Johnson, J.S., Olshausen, B.A.: The earliest EEG signatures of object recognition in a cued-target task are postsensory. J. Vis. 5(4), 2\u20132 (2005)","journal-title":"J. Vis."},{"issue":"3","key":"3_CR22","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1111\/j.2044-8295.1986.tb02199.x","volume":"77","author":"V Bruce","year":"1986","unstructured":"Bruce, V., Young, A.: Understanding face recognition. Br. J. Psychol. 77(3), 305\u2013327 (1986)","journal-title":"Br. J. Psychol."},{"issue":"9","key":"3_CR23","doi-asserted-by":"publisher","first-page":"2736","DOI":"10.1016\/j.neuropsychologia.2011.05.025","volume":"49","author":"A Gosling","year":"2011","unstructured":"Gosling, A., Eimer, M.: An event-related brain potential study of explicit face recognition. Neuropsychologia 49(9), 2736\u20132745 (2011)","journal-title":"Neuropsychologia"},{"key":"3_CR24","doi-asserted-by":"publisher","first-page":"42","DOI":"10.3389\/fpsyg.2011.00042","volume":"2","author":"J Touryan","year":"2011","unstructured":"Touryan, J., Gibson, L., Horne, J.H., Weber, P.: Real-time measurement of face recognition in rapid serial visual presentation. Front. Psychol. 2, 42 (2011)","journal-title":"Front. Psychol."},{"issue":"12","key":"3_CR25","doi-asserted-by":"publisher","first-page":"1499","DOI":"10.1080\/00207450290158368","volume":"112","author":"S Caharel","year":"2002","unstructured":"Caharel, S., Poiroux, S., Bernard, C., Thibaut, F., Lalonde, R., Rebai, M.: ERPS associated with familiarity and degree of familiarity during face recognition. Int. J. Neurosci. 112(12), 1499\u20131512 (2002)","journal-title":"Int. J. Neurosci."},{"issue":"3","key":"3_CR26","doi-asserted-by":"publisher","first-page":"722","DOI":"10.1037\/0278-7393.21.3.722","volume":"21","author":"SR Schweinberger","year":"1995","unstructured":"Schweinberger, S.R., Pf\u00fctze, E.M., Sommer, W.: Repetition priming and associative priming of face recognition: evidence from event-related potentials. J. Exp. Psychol. Learn. Mem. Cogn. 21(3), 722 (1995)","journal-title":"J. Exp. Psychol. Learn. Mem. Cogn."},{"issue":"9","key":"3_CR27","doi-asserted-by":"publisher","first-page":"1501","DOI":"10.1097\/01.wnr.0000131675.00319.42","volume":"15","author":"SR Schweinberger","year":"2004","unstructured":"Schweinberger, S.R., Huddy, V., Burton, A.M.: N250r: a face-selective brain response to stimulus repetitions. NeuroReport 15(9), 1501\u20131505 (2004)","journal-title":"NeuroReport"},{"issue":"1","key":"3_CR28","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1016\/S0010-9452(08)70071-6","volume":"39","author":"SR Schweinberger","year":"2003","unstructured":"Schweinberger, S.R., Burton, A.M.: Covert recognition and the neural system for face processing. Cortex 39(1), 9\u201330 (2003)","journal-title":"Cortex"},{"issue":"1\u20133","key":"3_CR29","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1080\/026432900380472","volume":"17","author":"S Bentin","year":"2000","unstructured":"Bentin, S., Deouell, L.Y.: Structural encoding and identification in face processing: ERP evidence for separate mechanisms. Cogn. Neuropsychol. 17(1\u20133), 35\u201355 (2000)","journal-title":"Cogn. Neuropsychol."},{"issue":"10","key":"3_CR30","doi-asserted-by":"publisher","first-page":"2319","DOI":"10.1097\/00001756-200007140-00050","volume":"11","author":"M Eimer","year":"2000","unstructured":"Eimer, M.: The face-specific N170 component reflects late stages in the structural encoding of faces. NeuroReport 11(10), 2319\u20132324 (2000)","journal-title":"NeuroReport"},{"issue":"2","key":"3_CR31","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1016\/0013-4694(75)90003-6","volume":"39","author":"E Courchesne","year":"1975","unstructured":"Courchesne, E., Hillyard, S.A., Galambos, R.: Stimulus novelty, task relevance and the visual evoked potential in man. Electroencephalogr. Clin. Neurophysiol. 39(2), 131\u2013143 (1975)","journal-title":"Electroencephalogr. Clin. Neurophysiol."},{"unstructured":"Doersch, C.: Tutorial on variational autoencoders. arXiv preprint arXiv:1606.05908 (2016)","key":"3_CR32"},{"unstructured":"Kingma, D.P., Welling, M.: Auto-encoding variational bayes. arXiv preprint arXiv:1312.6114 (2013)","key":"3_CR33"},{"unstructured":"Goodfellow, I.J., et al.: Generative adversarial nets. In: NIPS (2014)","key":"3_CR34"},{"unstructured":"Mirza, M., Osindero, S.: Conditional generative adversarial nets. arXiv preprint arXiv:1411.1784 (2014)","key":"3_CR35"},{"doi-asserted-by":"crossref","unstructured":"Tirupattur, P., Rawat, Y.S., Spampinato, C., Shah, M.: ThoughtViz: visualizing human thoughts using generative adversarial network. In: Proceedings of the 26th ACM International Conference on Multimedia, pp. 950\u2013958 (2018)","key":"3_CR36","DOI":"10.1145\/3240508.3240641"},{"issue":"8","key":"3_CR37","doi-asserted-by":"publisher","first-page":"5979","DOI":"10.1007\/s00521-021-06774-1","volume":"34","author":"S Khare","year":"2022","unstructured":"Khare, S., Choubey, R.N., Amar, L., Udutalapalli, V.: NeuroVision: perceived image regeneration using cProGAN. Neural Comput. Appl. 34(8), 5979\u20135991 (2022)","journal-title":"Neural Comput. Appl."},{"doi-asserted-by":"crossref","unstructured":"Craik, A., He, Y., Contreras-Vidal, J.L.: Deep learning for electroencephalogram (EEG) classification tasks: a review. J. Neural Eng. 16(3), 031001 (2019)","key":"3_CR38","DOI":"10.1088\/1741-2552\/ab0ab5"},{"doi-asserted-by":"crossref","unstructured":"Karras, T., Laine, S., Aila, T.: A style-based generator architecture for generative adversarial networks. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 4401\u20134410 (2019)","key":"3_CR39","DOI":"10.1109\/CVPR.2019.00453"},{"doi-asserted-by":"crossref","unstructured":"Karras, T., Laine, S., Aittala, M., Hellsten, J., Lehtinen, J., Aila, T.: Analyzing and improving the image quality of StyleGAN. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 8110\u20138119 (2020)","key":"3_CR40","DOI":"10.1109\/CVPR42600.2020.00813"},{"doi-asserted-by":"crossref","unstructured":"Lawhern, V.J., Solon, A.J., Waytowich, N.R., Gordon, S.M., Hung, C.P., Lance, B.J.: EEGNet: a compact convolutional neural network for eeg-based brain-computer interfaces. J. Neural Eng. 15(5), 056013 (2018)","key":"3_CR41","DOI":"10.1088\/1741-2552\/aace8c"},{"issue":"4","key":"3_CR42","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang, Z., Bovik, A.C., Sheikh, H.R., Simoncelli, E.P.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13(4), 600\u2013612 (2004)","journal-title":"IEEE Trans. Image Process."},{"doi-asserted-by":"crossref","unstructured":"Schroff, F., Kalenichenko, D., Philbin, J.: FaceNet: a unified embedding for face recognition and clustering. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 815\u2013823 (2015)","key":"3_CR43","DOI":"10.1109\/CVPR.2015.7298682"},{"doi-asserted-by":"crossref","unstructured":"Szegedy, C., et al.: Going deeper with convolutions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1\u20139 (2015)","key":"3_CR44","DOI":"10.1109\/CVPR.2015.7298594"},{"doi-asserted-by":"crossref","unstructured":"Cao, Q., Shen, L., Xie, W., Parkhi, O.M., Zisserman, A.: VGGFace2: a dataset for recognising faces across pose and age. In: 2018 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018), pp. 67\u201374. IEEE (2018)","key":"3_CR45","DOI":"10.1109\/FG.2018.00020"},{"unstructured":"Yi, D., Lei, Z., Liao, S., Li, S.Z.: Learning face representation from scratch. arXiv preprint arXiv:1411.7923 (2014)","key":"3_CR46"},{"doi-asserted-by":"crossref","unstructured":"Xia, W., Zhang, Y., Yang, Y., Xue, J.H., Zhou, B., Yang, M.H.: GAN inversion: a survey. IEEE Trans. Pattern Anal. Mach. Intell. (2022)","key":"3_CR47","DOI":"10.1109\/TPAMI.2022.3181070"},{"issue":"44","key":"3_CR48","doi-asserted-by":"publisher","first-page":"E6058","DOI":"10.1073\/pnas.1508080112","volume":"112","author":"X Chen","year":"2015","unstructured":"Chen, X., Wang, Y., Nakanishi, M., Gao, X., Jung, T.P., Gao, S.: High-speed spelling with a noninvasive brain-computer interface. Proc. Natl. Acad. Sci. 112(44), E6058\u2013E6067 (2015)","journal-title":"Proc. Natl. Acad. Sci."},{"issue":"3","key":"3_CR49","doi-asserted-by":"publisher","first-page":"617","DOI":"10.1111\/j.1469-8986.2008.00783.x","volume":"46","author":"A Furdea","year":"2009","unstructured":"Furdea, A., et al.: An auditory oddball (P300) spelling system for brain-computer interfaces. Psychophysiology 46(3), 617\u2013625 (2009)","journal-title":"Psychophysiology"},{"issue":"1","key":"3_CR50","doi-asserted-by":"publisher","first-page":"90","DOI":"10.1111\/j.1749-6632.2008.04122.x","volume":"1157","author":"A K\u00fcbler","year":"2009","unstructured":"K\u00fcbler, A., Furdea, A., Halder, S., Hammer, E.M., Nijboer, F., Kotchoubey, B.: A brain-computer interface controlled auditory event-related potential (P300) spelling system for locked-in patients. Ann. N. Y. Acad. Sci. 1157(1), 90\u2013100 (2009)","journal-title":"Ann. N. Y. Acad. Sci."},{"doi-asserted-by":"crossref","unstructured":"Song, D., et al.: Predicting human intention in visual observations of hand\/object interactions. In: 2013 IEEE International Conference on Robotics and Automation, pp. 1608\u20131615. IEEE (2013)","key":"3_CR51","DOI":"10.1109\/ICRA.2013.6630785"},{"doi-asserted-by":"crossref","unstructured":"Butepage, J., Black, M.J., Kragic, D., Kjellstrom, H.: Deep representation learning for human motion prediction and classification. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 6158\u20136166 (2017)","key":"3_CR52","DOI":"10.1109\/CVPR.2017.173"},{"doi-asserted-by":"crossref","unstructured":"B\u00fctepage, J., Kjellstr\u00f6m, H., Kragic, D.: Anticipating many futures: online human motion prediction and generation for human-robot interaction. In: 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 4563\u20134570. IEEE (2018)","key":"3_CR53","DOI":"10.1109\/ICRA.2018.8460651"}],"container-title":["Lecture Notes in Computer Science","Augmented Cognition"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-35017-7_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,8]],"date-time":"2023-07-08T23:37:05Z","timestamp":1688859425000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-35017-7_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031350160","9783031350177"],"references-count":53,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-35017-7_3","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)"}}]}}