{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T04:07:05Z","timestamp":1742962025967,"version":"3.40.3"},"publisher-location":"Cham","reference-count":60,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030235598"},{"type":"electronic","value":"9783030235604"}],"license":[{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2019,1,1]],"date-time":"2019-01-01T00:00:00Z","timestamp":1546300800000},"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":[[2019]]},"DOI":"10.1007\/978-3-030-23560-4_46","type":"book-chapter","created":{"date-parts":[[2019,7,9]],"date-time":"2019-07-09T23:03:41Z","timestamp":1562713421000},"page":"628-645","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["AR Contents Superimposition on Walls and Persons"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3562-6025","authenticated-orcid":false,"given":"Jo\u00e3o M. F.","family":"Rodrigues","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7557-8304","authenticated-orcid":false,"given":"Ricardo J. M.","family":"Veiga","sequence":"additional","affiliation":[]},{"given":"Roman","family":"Bajireanu","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4297-2441","authenticated-orcid":false,"given":"Roberto","family":"Lam","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4803-7964","authenticated-orcid":false,"given":"Pedro J. S.","family":"Cardoso","sequence":"additional","affiliation":[]},{"given":"Paulo","family":"Bica","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,7,3]]},"reference":[{"key":"46_CR1","unstructured":"Araki, N., Muraoka, Y.: Follow-the-trial-fitter: real-time dressing without undressing. In: Proceedings of IEEE Conference on Digital Information Management, London, UK, pp. 33\u201338 (2008)"},{"key":"46_CR2","unstructured":"Artoolkit: ARtoolKit, the world\u2019s most widely used tracking library for augmented reality (2017). http:\/\/artoolkit.org\/. Accessed 16 Nov 2017"},{"issue":"6","key":"46_CR3","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1109\/38.963459","volume":"21","author":"R Azuma","year":"2001","unstructured":"Azuma, R., Baillot, Y., Behringer, R., Feiner, S., Julier, S., MacIntyre, B.: Recent advances in augmented reality. IEEE Comput. Graph. Appl. 21(6), 34\u201347 (2001)","journal-title":"IEEE Comput. Graph. Appl."},{"key":"46_CR4","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1007\/978-3-319-16628-5_13","volume-title":"Computer Vision - ACCV 2014 Workshops","author":"P Babahajiani","year":"2015","unstructured":"Babahajiani, P., Fan, L., Gabbouj, M.: Object recognition in 3D point cloud of urban street scene. In: Jawahar, C.V., Shan, S. (eds.) ACCV 2014. LNCS, vol. 9008, pp. 177\u2013190. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-16628-5_13"},{"key":"46_CR5","unstructured":"Bajireanu, R., et al.: Mobile human shape superimposition: an initial approach using OpenPose. In: Proceedings 18th International Conference on Applied Computer Science (2018)"},{"issue":"3","key":"46_CR6","doi-asserted-by":"publisher","first-page":"416","DOI":"10.1016\/j.cviu.2005.06.001","volume":"100","author":"A Bartoli","year":"2005","unstructured":"Bartoli, A., Sturm, P.: Structure-from-motion using lines: representation, triangulation, and bundle adjustment. Comput. Vis. Image Underst. 100(3), 416\u2013441 (2005)","journal-title":"Comput. Vis. Image Underst."},{"issue":"1\u201310","key":"46_CR7","first-page":"4","volume":"5","author":"J-Y Bouguet","year":"2001","unstructured":"Bouguet, J.-Y.: Pyramidal implementation of the affine Lucas Kanade feature tracker description of the algorithm. Intel Corporation 5(1\u201310), 4 (2001)","journal-title":"Intel Corporation"},{"issue":"6","key":"46_CR8","doi-asserted-by":"publisher","first-page":"679","DOI":"10.1109\/TPAMI.1986.4767851","volume":"8","author":"J Canny","year":"1986","unstructured":"Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Anal. Mach. Intell. 8(6), 679\u2013698 (1986)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"46_CR9","doi-asserted-by":"crossref","unstructured":"Cao, Z., Hidalgo, G., Simon, T., Wei, S.-E., Sheikh, Y.: Openpose: realtime multi-person 2D pose estimation using part affinity fields. arXiv preprint arXiv:1812.08008 (2018)","DOI":"10.1109\/CVPR.2017.143"},{"key":"46_CR10","doi-asserted-by":"crossref","unstructured":"Cao, Z., Simon, T., Wei, S.-E., Sheikh, Y.: Realtime multi-person 2D pose estimation using part affinity fields. In: CVPR, vol. 1, no. 2, p. 7 (2017)","DOI":"10.1109\/CVPR.2017.143"},{"key":"46_CR11","unstructured":"Catchoom: Catchoom (2017). http:\/\/catchoom.com\/. Accessed 16 Nov 2017"},{"issue":"4","key":"46_CR12","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1007\/s10956-012-9405-9","volume":"22","author":"K-H Cheng","year":"2013","unstructured":"Cheng, K.-H., Tsai, C.-C.: Affordances of augmented reality in science learning: suggestions for future research. J. Sci. Educ. Technol. 22(4), 449\u2013462 (2013)","journal-title":"J. Sci. Educ. Technol."},{"issue":"2","key":"46_CR13","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1109\/MRA.2006.1638022","volume":"13","author":"H Durrant-Whyte","year":"2006","unstructured":"Durrant-Whyte, H., Bailey, T.: Simultaneous localization and mapping: part I. IEEE Rob. Autom. Mag. 13(2), 99\u2013110 (2006)","journal-title":"IEEE Rob. Autom. Mag."},{"key":"46_CR14","doi-asserted-by":"crossref","unstructured":"Elqursh, A., Elgammal, A.: Line-based relative pose estimation. In: Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 3049\u20133056. IEEE (2011)","DOI":"10.1109\/CVPR.2011.5995512"},{"issue":"3","key":"46_CR15","doi-asserted-by":"publisher","first-page":"611","DOI":"10.1109\/TPAMI.2017.2658577","volume":"40","author":"J Engel","year":"2018","unstructured":"Engel, J., Koltun, V., Cremers, D.: Direct sparse odometry. IEEE Trans. Pattern Anal. Mach. Intell. 40(3), 611\u2013625 (2018)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"46_CR16","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"834","DOI":"10.1007\/978-3-319-10605-2_54","volume-title":"Computer Vision \u2013 ECCV 2014","author":"J Engel","year":"2014","unstructured":"Engel, J., Sch\u00f6ps, T., Cremers, D.: LSD-SLAM: large-scale direct monocular SLAM. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8690, pp. 834\u2013849. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10605-2_54"},{"key":"46_CR17","doi-asserted-by":"crossref","unstructured":"Engel, J., Sturm, J., Cremers, D.: Semi-dense visual odometry for a monocular camera. In: Proceedings IEEE International Conference on Computer Vision, pp. 1449\u20131456 (2013)","DOI":"10.1109\/ICCV.2013.183"},{"key":"46_CR18","doi-asserted-by":"crossref","unstructured":"Erra, U., Scanniello, G., Colonnese, V.: Exploring the effectiveness of an augmented reality dressing room. Multimedia Tools Appl., 1\u201331 (2018)","DOI":"10.1007\/s11042-018-5758-2"},{"key":"46_CR19","unstructured":"Facecake: Facecake (2016). http:\/\/www.facecake.com\/. Accessed 17 September 2018"},{"key":"46_CR20","doi-asserted-by":"crossref","unstructured":"Fang, H., Xie, S., Tai, Y.-W., Lu, C.: RMPE: regional multi-person pose estimation. In: Proceedings IEEE International Conference on Computer Vision, vol. 2 (2017)","DOI":"10.1109\/ICCV.2017.256"},{"key":"46_CR21","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1016\/j.cag.2017.09.001","volume":"69","author":"J Gimeno","year":"2017","unstructured":"Gimeno, J., Portales, C., Coma, I., Fernandez, M., Martinez, B.: Combining traditional and indirect augmented reality for indoor crowded environments. A case study on the casa batll\u00f3 museum. Comput. Graph. 69, 92\u2013103 (2017)","journal-title":"Comput. Graph."},{"key":"46_CR22","doi-asserted-by":"crossref","unstructured":"Girshick, R.: Fast R-CNN. In: Proceedings IEEE Conference on Computer Vision, pp. 1440\u20131448 (2015)","DOI":"10.1109\/ICCV.2015.169"},{"key":"46_CR23","doi-asserted-by":"crossref","unstructured":"Girshick, R., Donahue, J., Darrell, T., Malik, J.: Rich feature hierarchies for accurate object detection and semantic segmentation. In: Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 580\u2013587 (2014)","DOI":"10.1109\/CVPR.2014.81"},{"key":"46_CR24","unstructured":"Google: TensorFlow - an open-source machine learning framework for everyone (2018). https:\/\/www.tensorflow.org\/. Accessed 14 Jan 2018"},{"issue":"2","key":"46_CR25","doi-asserted-by":"publisher","first-page":"133","DOI":"10.1007\/s11263-014-0777-6","volume":"112","author":"S Gupta","year":"2015","unstructured":"Gupta, S., Arbel\u00e1ez, P., Girshick, R., Malik, J.: Indoor scene understanding with RGB-D images: bottom-up segmentation, object detection and semantic segmentation. Int. J. Comput. Vis. 112(2), 133\u2013149 (2015)","journal-title":"Int. J. Comput. Vis."},{"key":"46_CR26","doi-asserted-by":"crossref","unstructured":"Haines, O., Calway, A.: Detecting planes and estimating their orientation from a single image. In: BMVC, pp. 1\u201311 (2012)","DOI":"10.5244\/C.26.31"},{"key":"46_CR27","doi-asserted-by":"crossref","unstructured":"He, K., Gkioxari, G., Doll\u00e1r, P., Girshick, R.: Mask R-CNN. In: Proceedings IEEE International Conference on Computer Vision, pp. 2980\u20132988 (2017)","DOI":"10.1109\/ICCV.2017.322"},{"key":"46_CR28","unstructured":"Howard, A.G., et al.: MobileNets: efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861 (2017)"},{"key":"46_CR29","doi-asserted-by":"crossref","unstructured":"Huang, J., et\u00a0al.: Speed\/Accuracy trade-offs for modern convolutional object detectors. In: Proceedings IEEE Conference on Computer Vision and Pattern Recognition, vol.\u00a04, Honolulu, HI, USA, pp. 3296\u20133297 (2017)","DOI":"10.1109\/CVPR.2017.351"},{"issue":"1","key":"46_CR30","doi-asserted-by":"publisher","first-page":"86","DOI":"10.1016\/j.jvcir.2013.04.001","volume":"25","author":"R Hulik","year":"2014","unstructured":"Hulik, R., Spanel, M., Smrz, P., Materna, Z.: Continuous plane detection in point-cloud data based on 3D Hough transform. J. Vis. Commun. Image Represent. 25(1), 86\u201397 (2014)","journal-title":"J. Vis. Commun. Image Represent."},{"key":"46_CR31","unstructured":"InformationWeek: Informationweek: 10 fantastic iPhone, Android Apps for museum visits (2017). https:\/\/goo.gl\/XF3rj4. Accessed 04 April 2017"},{"key":"46_CR32","unstructured":"Is\u0131kdogan, F., Kara, G.: A real time virtual dressing room application using Kinect. Computer Vision Course Project (2012)"},{"key":"46_CR33","doi-asserted-by":"crossref","unstructured":"Kendall, A., Grimes, M., Cipolla, R.: PoseNet: a convolutional network for real-time 6-DOF camera relocalization. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 2938\u20132946 (2015)","DOI":"10.1109\/ICCV.2015.336"},{"key":"46_CR34","unstructured":"Fitnect Interactive Kft. Fitnect (2016). http:\/\/www.fitnect.hu\/. Accessed 17 Sept 2018"},{"key":"46_CR35","unstructured":"Ildoo Kim: tf-pose-estimation (2018). https:\/\/bit.ly\/2HJxxcq. Accessed 10 April 2018"},{"issue":"4","key":"46_CR36","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1016\/0031-3203(91)90073-E","volume":"24","author":"N Kiryati","year":"1991","unstructured":"Kiryati, N., Eldar, Y., Bruckstein, A.M.: A probabilistic Hough transform. Pattern Recogn. 24(4), 303\u2013316 (1991)","journal-title":"Pattern Recogn."},{"key":"46_CR37","unstructured":"Layar: Layar (2017). https:\/\/www.layar.com\/. Accessed 16 Nov 2017"},{"key":"46_CR38","doi-asserted-by":"crossref","unstructured":"Leutenegger, S., Chli, M., Siegwart, R.Y.: BRISK: binary robust invariant scalable keypoints. In: Proceedings IEEE International Conference on Computer Vision, pp. 2548\u20132555. IEEE (2011)","DOI":"10.1109\/ICCV.2011.6126542"},{"key":"46_CR39","doi-asserted-by":"crossref","unstructured":"Mallya, A., Lazebnik, S.: Learning informative edge maps for indoor scene layout prediction. In: Proceedings IEEE International Conference on Computer Vision, pp. 936\u2013944 (2015)","DOI":"10.1109\/ICCV.2015.113"},{"key":"46_CR40","unstructured":"3DS MAX: 3DS MAX (2018). https:\/\/www.autodesk.com\/products\/3ds-max\/overview. Accessed 3 Dezember 2018"},{"key":"46_CR41","doi-asserted-by":"crossref","unstructured":"Muja, M., Lowe, D.G.: Fast matching of binary features. In: Proceedings 9th Conference Computer and Robot Vision, pp. 404\u2013410. IEEE (2012)","DOI":"10.1109\/CRV.2012.60"},{"issue":"5","key":"46_CR42","doi-asserted-by":"publisher","first-page":"1147","DOI":"10.1109\/TRO.2015.2463671","volume":"31","author":"R Mur-Artal","year":"2015","unstructured":"Mur-Artal, R., Montiel, J.M.M., Tardos, J.D.: ORB-SLAM: a versatile and accurate monocular SLAM system. IEEE Trans. Rob. 31(5), 1147\u20131163 (2015)","journal-title":"IEEE Trans. Rob."},{"issue":"1","key":"46_CR43","doi-asserted-by":"publisher","first-page":"62","DOI":"10.1109\/TSMC.1979.4310076","volume":"9","author":"N Otsu","year":"1979","unstructured":"Otsu, N.: A threshold selection method from gray-level histograms. IEEE Trans. Syst. Man Cybern. 9(1), 62\u201366 (1979)","journal-title":"IEEE Trans. Syst. Man Cybern."},{"key":"46_CR44","doi-asserted-by":"crossref","unstructured":"Papandreou, G., Zhu, T., Chen, L.-C., Gidaris, S., Tompson, J., Murphy, K.: PersonLab: person pose estimation and instance segmentation with a bottom-up, part-based, geometric embedding model. arXiv preprint arXiv:1803.08225 (2018)","DOI":"10.1007\/978-3-030-01264-9_17"},{"key":"46_CR45","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1007\/978-3-319-70272-8_27","volume-title":"INCREaSE","author":"JAR Pereira","year":"2018","unstructured":"Pereira, J.A.R., Veiga, R.J.M., de Freitas, M.A.G., Sardo, J.D.P., Cardoso, P.J.S., Rodrigues, J.M.F.: MIRAR: mobile image recognition based augmented reality framework. In: Mortal, A., et al. (eds.) INCREaSE 2017, pp. 321\u2013337. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-70272-8_27"},{"issue":"4","key":"46_CR46","doi-asserted-by":"publisher","first-page":"8","DOI":"10.1109\/MMUL.2010.72","volume":"17","author":"C Portales","year":"2010","unstructured":"Portales, C., Vinals, M.J., Alonso-Monasterio, P.: AR-immersive cinema at the aula natura visitors center. IEEE MultiMedia 17(4), 8\u201315 (2010)","journal-title":"IEEE MultiMedia"},{"key":"46_CR47","unstructured":"Ren, S., He, K., Girshick, R., Sun, J.: Faster R-CNN: towards real-time object detection with region proposal networks. In: Advances in Neural Information Processing Systems, pp. 91\u201399 (2015)"},{"key":"46_CR48","doi-asserted-by":"crossref","unstructured":"Ren, Z., Sudderth, E.B.: Three-dimensional object detection and layout prediction using clouds of oriented gradients. In: Proceedings IEEE Conference on Computer Vision and Pattern Recognition, pp. 1525\u20131533 (2016)","DOI":"10.1109\/CVPR.2016.169"},{"key":"46_CR49","doi-asserted-by":"crossref","unstructured":"Rodrigues, J.M.F., et al.: Adaptive card design UI implementation for an augmented reality museum application. In: Proceedings 11th International Conference on Universal Access in Human-Computer Interaction (2017)","DOI":"10.1007\/978-3-319-58706-6_35"},{"key":"46_CR50","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1007\/978-3-319-92052-8_9","volume-title":"Universal Access in Human-Computer Interaction. Virtual, Augmented, and Intelligent Environments","author":"JMF Rodrigues","year":"2018","unstructured":"Rodrigues, J.M.F., et al.: Mobile augmented reality framework - MIRAR. In: Antona, M., Stephanidis, C. (eds.) UAHCI 2018. LNCS, vol. 10908, pp. 102\u2013121. Springer, Cham (2018). https:\/\/doi.org\/10.1007\/978-3-319-92052-8_9"},{"issue":"1","key":"46_CR51","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1007\/s10209-013-0338-8","volume":"14","author":"M Serr\u00e3o","year":"2015","unstructured":"Serr\u00e3o, M., et al.: Computer vision and GIS for the navigation of blind persons in buildings. Univ. Access Inf. Soc. 14(1), 67\u201380 (2015)","journal-title":"Univ. Access Inf. Soc."},{"key":"46_CR52","unstructured":"Shi, J., Tomasi, C.: Good features to track. Technical report, Cornell University (1993)"},{"key":"46_CR53","doi-asserted-by":"crossref","unstructured":"Tareen, S.A.K., Saleem, Z.: A comparative analysis of SIFT, SURF, KAZE, AKAZE, ORB, and BRISK. In: Proceedings International Conference on Computing, Mathematics and Engineering Technologies, pp. 1\u201310. IEEE (2018)","DOI":"10.1109\/ICOMET.2018.8346440"},{"key":"46_CR54","doi-asserted-by":"crossref","unstructured":"Tateno, K., Tombari, F., Laina, I., Navab, N.: CNN-SLAM: real-time dense monocular SLAM with learned depth prediction. In: Proceedings IEEE Conference on Computer Vision and Pattern Recognition, vol. 2 (2017)","DOI":"10.1109\/CVPR.2017.695"},{"key":"46_CR55","doi-asserted-by":"crossref","unstructured":"Tome, D., Russell, C., Agapito, L.: Lifting from the deep: convolutional 3D pose estimation from a single image. In: Proceedings IEEE Conference Computer Vision and Pattern Recognition, pp. 2500\u20132509 (2017)","DOI":"10.1109\/CVPR.2017.603"},{"key":"46_CR56","unstructured":"TWSJ: The wall street journal: best apps for visiting museums (2017). https:\/\/goo.gl\/cPTyP9. Accessed 4 April 2017"},{"key":"46_CR57","unstructured":"Unity: Unity3D (2018). https:\/\/unity3d.com\/pt. Accessed 10 Jan 2018"},{"key":"46_CR58","doi-asserted-by":"crossref","unstructured":"Vainstein, N., Kuflik, T., Lanir, J.: Towards using mobile, head-worn displays in cultural heritage: user requirements and a research agenda. In: Proceedings 21st International Conference on Intelligent User Interfaces, pp. 327\u2013331. ACM (2016)","DOI":"10.1145\/2856767.2856802"},{"key":"46_CR59","unstructured":"Veiga, R.J.M., Bajireanu, R., Pereira, J.A.R., Sardo, J.D.P., Cardoso, P.J.S., Rodrigues, J.M.F.: Indoor environment and human shape detection for augmented reality: an initial study. In: Proceedings 23rd Portuguese Conference Pattern Recognition, p. 21 (2017)"},{"key":"46_CR60","unstructured":"Veiga, R.J.M., Pereira, J.A.R., Sardo, J.D.P., Bajireanu, R., Cardoso, P.J.S., Rodrigues, J.M.F.: Augmented reality indoor environment detection: proof-of-concept. In: Proceedings Applied Mathematics And Computer Science (2018)"}],"container-title":["Lecture Notes in Computer Science","Universal Access in Human-Computer Interaction. Theory, Methods and Tools"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-23560-4_46","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T00:52:52Z","timestamp":1689727972000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-23560-4_46"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019]]},"ISBN":["9783030235598","9783030235604"],"references-count":60,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-23560-4_46","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2019]]},"assertion":[{"value":"3 July 2019","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":"Orlando, FL","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31 July 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2019.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}