{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,11]],"date-time":"2025-09-11T19:29:27Z","timestamp":1757618967229,"version":"3.44.0"},"publisher-location":"Cham","reference-count":25,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031984167"},{"type":"electronic","value":"9783031984174"}],"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\/978-3-031-98417-4_10","type":"book-chapter","created":{"date-parts":[[2025,7,17]],"date-time":"2025-07-17T10:05:58Z","timestamp":1752746758000},"page":"135-148","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Automated Detection of\u00a0Attention and\u00a0Retention in\u00a0Educational Videos Using Eye-Tracking, Dynamic Areas of\u00a0Interest and\u00a0Feature Fusion"],"prefix":"10.1007","author":[{"given":"S\u00e9bastien","family":"Lall\u00e9","sequence":"first","affiliation":[]},{"given":"Sina","family":"Nikneshan","sequence":"additional","affiliation":[]},{"given":"Sol\u00e9ne","family":"Lambert","sequence":"additional","affiliation":[]},{"given":"Vanda","family":"Luengo","sequence":"additional","affiliation":[]},{"given":"Ali","family":"Abou-Hassan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,7,15]]},"reference":[{"key":"10_CR1","doi-asserted-by":"crossref","unstructured":"B\u00fchler, B., et al.: Detecting aware and unaware mind wandering during lecture viewing: a multimodal machine learning approach using eye tracking, facial videos and physiological data. In: Proceedings of the 26th International Conference on Multimodal Interaction, pp. 244\u2013253 (2024)","DOI":"10.1145\/3678957.3685710"},{"key":"10_CR2","doi-asserted-by":"crossref","unstructured":"Copeland, L., Gedeon, T., Caldwell, S.: Effects of text difficulty and readers on predicting reading comprehension from eye movements. In: 2015 6th IEEE International Conference on Cognitive Infocommunications (coginfocom), pp. 407\u2013412. IEEE (2015)","DOI":"10.1109\/CogInfoCom.2015.7390628"},{"issue":"9","key":"10_CR3","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0222276","volume":"14","author":"K Dhindsa","year":"2019","unstructured":"Dhindsa, K.: Individualized pattern recognition for detecting mind wandering from EEG during live lectures. PLoS ONE 14(9), e0222276 (2019)","journal-title":"PLoS ONE"},{"key":"10_CR4","doi-asserted-by":"crossref","unstructured":"D\u2019Mello, S., Kopp, K., Bixler, R.E., Bosch, N.: Attending to attention: detecting and combating mind wandering during computerized reading. In: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, pp. 1661\u20131669 (2016)","DOI":"10.1145\/2851581.2892329"},{"issue":"5\u20136","key":"10_CR5","doi-asserted-by":"publisher","first-page":"420","DOI":"10.1080\/0163853X.2020.1739600","volume":"57","author":"SK D\u2019Mello","year":"2020","unstructured":"D\u2019Mello, S.K., Southwell, R., Gregg, J.: Machine-learned computational models can enhance the study of text and discourse: a case study using eye tracking to model reading comprehension. Discourse Process. 57(5\u20136), 420\u2013440 (2020)","journal-title":"Discourse Process."},{"key":"10_CR6","doi-asserted-by":"crossref","unstructured":"E.\u00a0Bixler, R., K.\u00a0D\u2018Mello, S.: Crossed eyes: domain adaptation for gaze-based mind wandering models. In: ACM Symposium on Eye Tracking Research and Applications, pp. 1\u201312 (2021)","DOI":"10.1145\/3448017.3457386"},{"key":"10_CR7","doi-asserted-by":"publisher","first-page":"134","DOI":"10.3758\/s13428-017-0857-y","volume":"50","author":"M Faber","year":"2018","unstructured":"Faber, M., Bixler, R., D\u2019Mello, S.K.: An automated behavioral measure of mind wandering during computerized reading. Behav. Res. Methods 50, 134\u2013150 (2018)","journal-title":"Behav. Res. Methods"},{"issue":"10","key":"10_CR8","doi-asserted-by":"publisher","first-page":"1201","DOI":"10.1037\/xhp0000743","volume":"46","author":"M Faber","year":"2020","unstructured":"Faber, M., Krasich, K., Bixler, R.E., Brockmole, J.R., D\u2019Mello, S.K.: The eye-mind wandering link: Identifying gaze indices of mind wandering across tasks. J. Exp. Psychol. Hum. Percept. Perform. 46(10), 1201 (2020)","journal-title":"J. Exp. Psychol. Hum. Percept. Perform."},{"key":"10_CR9","doi-asserted-by":"crossref","unstructured":"Guarrasi, V., et al.: A systematic review of intermediate fusion in multimodal deep learning for biomedical applications. arXiv preprint arXiv:2408.02686 (2024)","DOI":"10.2139\/ssrn.4952813"},{"key":"10_CR10","doi-asserted-by":"publisher","first-page":"104","DOI":"10.1016\/j.learninstruc.2016.01.007","volume":"42","author":"RB Hollis","year":"2016","unstructured":"Hollis, R.B., Was, C.A.: Mind wandering, control failures, and social media distractions in online learning. Learn. Instr. 42, 104\u2013112 (2016)","journal-title":"Learn. Instr."},{"key":"10_CR11","unstructured":"Holmqvist, K., Nystr\u00f6m, M., Andersson, R., Dewhurst, R., Jarodzka, H., Van\u00a0de Weijer, J.: Eye tracking: A comprehensive guide to methods and measures. oup Oxford (2011)"},{"key":"10_CR12","unstructured":"Hutt, S., Hardey, J., Bixler, R., Stewart, A., Risko, E., D\u2019Mello, S.K.: Gaze-based detection of mind wandering during lecture viewing. International Educational Data Mining Society (2017)"},{"key":"10_CR13","doi-asserted-by":"crossref","unstructured":"Hutt, S., Krasich, K., R.\u00a0Brockmole, J., K.\u00a0D\u2019Mello, S.: Breaking out of the lab: Mitigating mind wandering with gaze-based attention-aware technology in classrooms. In: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems, pp. 1\u201314 (2021)","DOI":"10.1145\/3411764.3445269"},{"key":"10_CR14","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1007\/978-3-319-07221-0_4","volume-title":"Intelligent Tutoring Systems","author":"N Jaques","year":"2014","unstructured":"Jaques, N., Conati, C., Harley, J.M., Azevedo, R.: Predicting affect from gaze data during interaction with an intelligent tutoring system. In: Trausan-Matu, S., Boyer, K.E., Crosby, M., Panourgia, K. (eds.) ITS 2014. LNCS, vol. 8474, pp. 29\u201338. Springer, Cham (2014). https:\/\/doi.org\/10.1007\/978-3-319-07221-0_4"},{"key":"10_CR15","doi-asserted-by":"crossref","unstructured":"Jiao, T., Guo, C., Feng, X., Chen, Y., Song, J.: A comprehensive survey on deep learning multi-modal fusion: Methods, technologies and applications. Comput., Materials Continua 80(1) (2024)","DOI":"10.32604\/cmc.2024.053204"},{"key":"10_CR16","doi-asserted-by":"crossref","unstructured":"Kuvar, V., Kam, J.W., Hutt, S., Mills, C.: Detecting when the mind wanders off task in real-time: An overview and systematic review. In: Proceedings of the 25th international Conference on Multimodal Interaction. pp. 163\u2013173 (2023)","DOI":"10.1145\/3577190.3614126"},{"key":"10_CR17","doi-asserted-by":"crossref","unstructured":"Lall\u00e9, S., Murali, R., Conati, C., Azevedo, R.: Predicting co-occurring emotions from eye-tracking and interaction data in metatutor. In: International Conference on Artificial Intelligence in Education, pp. 241\u2013254. Springer (2021)","DOI":"10.1007\/978-3-030-78292-4_20"},{"key":"10_CR18","doi-asserted-by":"crossref","unstructured":"Mart\u00ednez-G\u00f3mez, P., Aizawa, A.: Recognition of understanding level and language skill using measurements of reading behavior. In: Proceedings of the 19th international conference on Intelligent User Interfaces, pp. 95\u2013104 (2014)","DOI":"10.1145\/2557500.2557546"},{"key":"10_CR19","doi-asserted-by":"crossref","unstructured":"Mayer, R.: Cognitive theory of multimedia learning (2005)","DOI":"10.1017\/CBO9780511816819.004"},{"issue":"2","key":"10_CR20","doi-asserted-by":"publisher","first-page":"204","DOI":"10.3102\/0034654321990713","volume":"91","author":"M Noetel","year":"2021","unstructured":"Noetel, M., et al.: Video improves learning in higher education: a systematic review. Rev. Educ. Res. 91(2), 204\u2013236 (2021)","journal-title":"Rev. Educ. Res."},{"issue":"2","key":"10_CR21","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1002\/acp.1814","volume":"26","author":"EF Risko","year":"2012","unstructured":"Risko, E.F., Anderson, N., Sarwal, A., Engelhardt, M., Kingstone, A.: Everyday attention: Variation in mind wandering and memory in a lecture. Appl. Cogn. Psychol. 26(2), 234\u2013242 (2012)","journal-title":"Appl. Cogn. Psychol."},{"key":"10_CR22","doi-asserted-by":"crossref","unstructured":"Stewart, A., Bosch, N., Chen, H., Donnelly, P., D\u2019Mello, S.: Face forward: detecting mind wandering from video during narrative film comprehension. In: International conference on artificial intelligence in education, pp. 359\u2013370. Springer (2017)","DOI":"10.1007\/978-3-319-61425-0_30"},{"key":"10_CR23","doi-asserted-by":"crossref","unstructured":"Toker, D., Lall\u00e9, S., Conati, C.: Pupillometry and head distance to the screen to predict skill acquisition during information visualization tasks. In: Proceedings of the 22nd International Conference on Intelligent User Interfaces, pp. 221\u2013231 (2017)","DOI":"10.1145\/3025171.3025187"},{"key":"10_CR24","doi-asserted-by":"crossref","unstructured":"Veliyath, N., De, P., Allen, A.A., Hodges, C.B., Mitra, A.: Modeling students\u2019 attention in the classroom using eyetrackers. In: Proceedings of the 2019 ACM Southeast Conference, pp.\u00a02\u20139 (2019)","DOI":"10.1145\/3299815.3314424"},{"key":"10_CR25","doi-asserted-by":"crossref","unstructured":"Yue, Z., Lofi, C., Hauff, C.: Scalable mind-wandering detection for MOOCs: A webcam-based approach. In: European Conference on Technology Enhanced Learning. Springer, Cham. Tallinn, Estonia, pp. 330\u2013344 (2017)","DOI":"10.1007\/978-3-319-66610-5_24"}],"container-title":["Lecture Notes in Computer Science","Artificial Intelligence in Education"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-98417-4_10","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,9,7]],"date-time":"2025-09-07T12:49:23Z","timestamp":1757249363000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-98417-4_10"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031984167","9783031984174"],"references-count":25,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-98417-4_10","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"15 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"}}]}}