{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T08:20:18Z","timestamp":1787818818403,"version":"build-2784847793"},"publisher-location":"Cham","reference-count":26,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031992636","type":"print"},{"value":"9783031992643","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"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":[[2025]]},"DOI":"10.1007\/978-3-031-99264-3_23","type":"book-chapter","created":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T06:43:22Z","timestamp":1753253002000},"page":"185-192","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Computer Vision for\u00a0Objects Used in\u00a0Group Work: Challenges and\u00a0Opportunities"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2232-4300","authenticated-orcid":false,"given":"Changsoo","family":"Jung","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9715-4847","authenticated-orcid":false,"given":"Sheikh","family":"Mannan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5604-7920","authenticated-orcid":false,"given":"Jack","family":"Fitzgerald","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2653-0873","authenticated-orcid":false,"given":"Nathaniel","family":"Blanchard","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2025,7,21]]},"reference":[{"key":"23_CR1","doi-asserted-by":"publisher","unstructured":"Amir, M.F., Fediyanto, N., Rudyanto, H.E., Nur Afifah, D.S., Tortop, H.S.: Elementary students\u2019 perceptions of 3dmetric: a cross-sectional study. Heliyon 6(6), e04052 (2020). https:\/\/doi.org\/10.1016\/j.heliyon.2020.e04052. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S2405844020308963","DOI":"10.1016\/j.heliyon.2020.e04052"},{"key":"23_CR2","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"536","DOI":"10.1007\/978-3-319-10605-2_35","volume-title":"Computer Vision \u2013 ECCV 2014","author":"E Brachmann","year":"2014","unstructured":"Brachmann, E., Krull, A., Michel, F., Gumhold, S., Shotton, J., Rother, C.: Learning 6D object pose estimation using 3D object coordinates. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014. LNCS, vol. 8690, pp. 536\u2013551. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-10605-2_35"},{"key":"23_CR3","doi-asserted-by":"publisher","unstructured":"Bradford, M., Khebour, I., Blanchard, N., Krishnaswamy, N.: Automatic detection of collaborative states in small groups using multimodal features. In: International Conference on Artificial Intelligence in Education, pp. 767\u2013773. Springer, Heidelberg (2023). https:\/\/doi.org\/10.1007\/978-3-031-36272-9_69","DOI":"10.1007\/978-3-031-36272-9_69"},{"key":"23_CR4","doi-asserted-by":"crossref","unstructured":"Calli, B., Singh, A., Walsman, A., Srinivasa, S., Abbeel, P., Dollar, A.M.: The ycb object and model set: towards common benchmarks for manipulation research. In: 2015 International Conference on Advanced Robotics (ICAR), pp. 510\u2013517. IEEE (2015)","DOI":"10.1109\/ICAR.2015.7251504"},{"key":"23_CR5","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/978-3-030-58452-8_13","volume-title":"Computer Vision \u2013 ECCV 2020","author":"N Carion","year":"2020","unstructured":"Carion, N., Massa, F., Synnaeve, G., Usunier, N., Kirillov, A., Zagoruyko, S.: End-to-End object detection with transformers. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12346, pp. 213\u2013229. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58452-8_13"},{"key":"23_CR6","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1007\/s11263-014-0733-5","volume":"111","author":"M Everingham","year":"2015","unstructured":"Everingham, M., Eslami, S.A., Van Gool, L., Williams, C.K., Winn, J., Zisserman, A.: The pascal visual object classes challenge: a retrospective. Int. J. Comput. Vision 111, 98\u2013136 (2015)","journal-title":"Int. J. Comput. Vision"},{"key":"23_CR7","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1007\/s11263-009-0275-4","volume":"88","author":"M Everingham","year":"2010","unstructured":"Everingham, M., Van Gool, L., Williams, C.K., Winn, J., Zisserman, A.: The pascal visual object classes (voc) challenge. Int. J. Comput. Vision 88, 303\u2013338 (2010)","journal-title":"Int. J. Comput. Vision"},{"key":"23_CR8","doi-asserted-by":"crossref","unstructured":"Grenander, M., Belfer, R., Kochmar, E., Serban, I.V., St-Hilaire, F., Cheung, J.C.: Deep discourse analysis for generating personalized feedback in intelligent tutor systems. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a035, pp. 15534\u201315544 (2021)","DOI":"10.1609\/aaai.v35i17.17829"},{"key":"23_CR9","doi-asserted-by":"crossref","unstructured":"Guo, A., et al.: Handal: a dataset of real-world manipulable object categories with pose annotations, affordances, and reconstructions. In: 2023 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 11428\u201311435. IEEE (2023)","DOI":"10.1109\/IROS55552.2023.10341672"},{"key":"23_CR10","doi-asserted-by":"publisher","first-page":"35103","DOI":"10.52202\/068431-2544","volume":"35","author":"X He","year":"2022","unstructured":"He, X., Sun, J., Wang, Y., Huang, D., Bao, H., Zhou, X.: Onepose++: keypoint-free one-shot object pose estimation without cad models. Adv. Neural. Inf. Process. Syst. 35, 35103\u201335115 (2022)","journal-title":"Adv. Neural. Inf. Process. Syst."},{"key":"23_CR11","doi-asserted-by":"crossref","unstructured":"Hodan, T., Haluza, P., Obdr\u017e\u00e1lek, \u0160., Matas, J., Lourakis, M., Zabulis, X.: T-less: an rgb-d dataset for 6d pose estimation of texture-less objects. In: 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 880\u2013888. IEEE (2017)","DOI":"10.1109\/WACV.2017.103"},{"key":"23_CR12","doi-asserted-by":"crossref","unstructured":"Houde, S., et al.: Controlling ai agent participation in group conversations: a human-centered approach. In: ACM International Conference on Intelligent User Interfaces (2025)","DOI":"10.1145\/3708359.3712089"},{"key":"23_CR13","unstructured":"Jocher, G., Qiu, J.: Ultralytics yolo11 (2024). https:\/\/github.com\/ultralytics\/ultralytics"},{"key":"23_CR14","doi-asserted-by":"crossref","unstructured":"Jung, H., et\u00a0al.: Housecat6d-a large-scale multi-modal category level 6d object perception dataset with household objects in realistic scenarios. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 22498\u201322508 (2024)","DOI":"10.1109\/CVPR52733.2024.02123"},{"key":"23_CR15","doi-asserted-by":"crossref","unstructured":"Khebour, I., et\u00a0al.: When text and speech are not enough: a multimodal dataset of collaboration in a situated task. J. Open Human. Data 10(1) (2024)","DOI":"10.5334\/johd.168"},{"key":"23_CR16","doi-asserted-by":"crossref","unstructured":"Khebour, I.K., et al.: Common ground tracking in multimodal dialogue. In: Calzolari, N., Kan, M.Y., Hoste, V., Lenci, A., Sakti, S., Xue, N. (eds.) Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pp. 3587\u20133602. ELRA and ICCL, Torino (2024). https:\/\/aclanthology.org\/2024.lrec-main.318\/","DOI":"10.63317\/4kmqkvuo7jy3"},{"key":"23_CR17","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"574","DOI":"10.1007\/978-3-030-58520-4_34","volume-title":"Computer Vision \u2013 ECCV 2020","author":"Y Labb\u00e9","year":"2020","unstructured":"Labb\u00e9, Y., Carpentier, J., Aubry, M., Sivic, J.: CosyPose: consistent multi-view multi-object 6D pose estimation. In: Vedaldi, A., Bischof, H., Brox, T., Frahm, J.-M. (eds.) ECCV 2020. LNCS, vol. 12362, pp. 574\u2013591. Springer, Cham (2020). https:\/\/doi.org\/10.1007\/978-3-030-58520-4_34"},{"key":"23_CR18","unstructured":"Labb\u00e9, Y., et al.: Megapose: 6d pose estimation of novel objects via render & compare. arXiv preprint arXiv:2212.06870 (2022)"},{"issue":"3","key":"23_CR19","doi-asserted-by":"publisher","first-page":"389","DOI":"10.3390\/rs12030389","volume":"12","author":"Y Li","year":"2020","unstructured":"Li, Y., Huang, Q., Pei, X., Jiao, L., Shang, R.: Radet: Refine feature pyramid network and multi-layer attention network for arbitrary-oriented object detection of remote sensing images. Remote Sens. 12(3), 389 (2020)","journal-title":"Remote Sens."},{"key":"23_CR20","doi-asserted-by":"crossref","unstructured":"Maji, D., Nagori, S., Mathew, M., Poddar, D.: Yolo-6d-pose: enhancing yolo for single-stage monocular multi-object 6d pose estimation. In: 2024 International Conference on 3D Vision (3DV), pp. 1616\u20131625. IEEE (2024)","DOI":"10.1109\/3DV62453.2024.00160"},{"key":"23_CR21","doi-asserted-by":"crossref","unstructured":"Park, M., Kim, S., Lee, S., Kwon, S., Kim, K.: Empowering personalized learning through a conversation-based tutoring system with student modeling. In: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, pp. 1\u201310 (2024)","DOI":"10.1145\/3613905.3651122"},{"key":"23_CR22","first-page":"67","volume":"31","author":"M R\u0131zv\u0131","year":"2023","unstructured":"R\u0131zv\u0131, M.: Investigating ai-powered tutoring systems that adapt to individual student needs, providing personalized guidance and assessments. Eurasia Proc. Educ. Social Sci. 31, 67\u201373 (2023)","journal-title":"Eurasia Proc. Educ. Social Sci."},{"issue":"8","key":"23_CR23","doi-asserted-by":"publisher","first-page":"997","DOI":"10.1080\/00207390902912852","volume":"40","author":"H Unal","year":"2009","unstructured":"Unal, H., Jakubowski, E., Corey, D.: Differences in learning geometry among high and low spatial ability pre-service mathematics teachers. Int. J. Math. Educ. Sci. Technol. 40(8), 997\u20131012 (2009)","journal-title":"Int. J. Math. Educ. Sci. Technol."},{"key":"23_CR24","doi-asserted-by":"crossref","unstructured":"VanderHoeven, H., et\u00a0al.: Trace: real-time multimodal common ground tracking in situated collaborative dialogues. arXiv preprint arXiv:2503.09511 (2025)","DOI":"10.18653\/v1\/2025.naacl-demo.5"},{"key":"23_CR25","unstructured":"Venkatesha, V., et al.: Propositional extraction from natural speech in small group collaborative tasks. In: Proceedings of the 17th International Conference on Educational Data Mining, pp. 169\u2013180 (2024)"},{"issue":"12","key":"23_CR26","doi-asserted-by":"publisher","first-page":"1022","DOI":"10.3390\/e26121022","volume":"26","author":"Q Zhang","year":"2024","unstructured":"Zhang, Q., Xue, C., Qin, J., Duan, J., Zhou, Y.: 6d pose estimation of industrial parts based on point cloud geometric information prediction for robotic grasping. Entropy 26(12), 1022 (2024)","journal-title":"Entropy"}],"container-title":["Communications in Computer and Information Science","Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium, Blue Sky, and WideAIED"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-99264-3_23","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,8,27]],"date-time":"2026-08-27T08:03:49Z","timestamp":1787817829000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-99264-3_23"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031992636","9783031992643"],"references-count":26,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-99264-3_23","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"21 July 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AIED","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Intelligence in Education","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Palermo","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":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22 July 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aied2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/aied2025.itd.cnr.it\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}