{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T12:06:42Z","timestamp":1767182802983,"version":"3.41.0"},"publisher-location":"Cham","reference-count":57,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031932205"},{"type":"electronic","value":"9783031932212"}],"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\/978-3-031-93221-2_25","type":"book-chapter","created":{"date-parts":[[2025,5,27]],"date-time":"2025-05-27T15:29:44Z","timestamp":1748359784000},"page":"386-403","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["User Interaction Behavior Analysis for Cognitive Load Detection in Online Learning Processes"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3259-0282","authenticated-orcid":false,"given":"Mira","family":"Suryani","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0459-0493","authenticated-orcid":false,"given":"Harry Budi","family":"Santoso","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9931-5728","authenticated-orcid":false,"given":"Rizal","family":"Fathoni Aji","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2929-5979","authenticated-orcid":false,"given":"Setiawan","family":"Hadi","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7855-2524","authenticated-orcid":false,"given":"Martin","family":"Schrepp","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2025,5,25]]},"reference":[{"key":"25_CR1","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1007\/s10648-021-09624-7","volume":"34","author":"A Skulmowski","year":"2022","unstructured":"Skulmowski, A., Xu, K.M.: Understanding cognitive load in digital and online learning: a new perspective on extraneous cognitive load. Educ. Psychol. Rev. 34, 171\u2013196 (2022). https:\/\/doi.org\/10.1007\/s10648-021-09624-7","journal-title":"Educ. Psychol. Rev."},{"key":"25_CR2","doi-asserted-by":"publisher","unstructured":"Zhao, Y.: The impact of cognitive load theory on online learning outcomes for adolescent students. J. Educ. Human. Soc. Sci. 18, 50\u201355 (2023). https:\/\/doi.org\/10.54097\/ehss.v18i.10946","DOI":"10.54097\/ehss.v18i.10946"},{"key":"25_CR3","doi-asserted-by":"publisher","unstructured":"Masyura Ahmad Faudzi, Z., Che Cob, Z., Sharudin, S.A., Omar, R., Ghazali, M.: The effects of user interface design for mobile learning application on learner\u2019s extraneous cognitive load: a conceptual framework. In: Proceedings of the Asian HCI Symposium 2023 (Asian CHI \u201823), pp. 51\u201357. Association for Computing Machinery, New York, NY, USA (2023). https:\/\/doi.org\/10.1145\/3604571.3604579","DOI":"10.1145\/3604571.3604579"},{"key":"25_CR4","doi-asserted-by":"publisher","unstructured":"Suryani, M., Sensuse, D.I., Santoso, H.B., et al.: An initial user model design for adaptive interface development in learning management system based on cognitive load. Cogn. Technol. Work 26, 653\u2013672 (2024). https:\/\/doi.org\/10.1007\/s10111-024-00772-8, LNCS Homepage, http:\/\/www.springer.com\/lncs. Accessed 25 Oct 2023","DOI":"10.1007\/s10111-024-00772-8"},{"issue":"1","key":"25_CR5","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1108\/ITSE-09-2019-0053","volume":"17","author":"J Costley","year":"2020","unstructured":"Costley, J.: Using cognitive strategies overcomes cognitive load in online learning environments. Interact. Technol. Smart Educ. 17(1), 1\u201315 (2020). https:\/\/doi.org\/10.1108\/ITSE-09-2019-0053","journal-title":"Interact. Technol. Smart Educ."},{"issue":"1","key":"25_CR6","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1080\/00461520.2018.1440954","volume":"54","author":"J Sweller","year":"2019","unstructured":"Sweller, J., Van Merri\u00ebnboer, J.J.G., Paas, F.: Cognitive architecture and instructional design. Educ. Psychol. 54(1), 9\u201328 (2019). https:\/\/doi.org\/10.1080\/00461520.2018.1440954","journal-title":"Educ. Psychol."},{"key":"25_CR7","volume-title":"Cognitive Psychology and Its Implications","author":"JR Anderson","year":"2009","unstructured":"Anderson, J.R.: Cognitive Psychology and Its Implications, 7th edn. Worth Publishers, New York (2009)","edition":"7"},{"key":"25_CR8","doi-asserted-by":"publisher","unstructured":"Sweller, J., Ayres, P., Kalyuga, S.: Cognitive Load Theory, pp. 1\u2013274. Springer, New York (2011). https:\/\/doi.org\/10.1007\/978-1-4419-8126-4","DOI":"10.1007\/978-1-4419-8126-4"},{"key":"25_CR9","doi-asserted-by":"publisher","first-page":"10013","DOI":"10.1007\/s10639-022-11035-2","volume":"27","author":"O D\u00f6nmez","year":"2022","unstructured":"D\u00f6nmez, O., Akbulut, Y., Telli, E., et al.: In search of a measure to address different sources of cognitive load in computer-based learning environments. Educ. Inf. Technol. 27, 10013\u201310034 (2022). https:\/\/doi.org\/10.1007\/s10639-022-11035-2","journal-title":"Educ. Inf. Technol."},{"key":"25_CR10","doi-asserted-by":"publisher","unstructured":"Chen, Y., Zhang, L., Mao, C.: Investigating Chinese college students\u2019 cognitive load in a gamified foreign language class: a pilot study. In: Proceedings of the 5th International Conference on Big Data and Education (ICBDE \u201822), pp. 217\u2013221. ACM, New York (2022). https:\/\/doi.org\/10.1145\/3524383.3524447","DOI":"10.1145\/3524383.3524447"},{"key":"25_CR11","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1186\/s41239-021-00317-3","volume":"19","author":"MM Ko\u0107-Januchta","year":"2022","unstructured":"Ko\u0107-Januchta, M.M., Sch\u00f6nborn, K.J., Roehrig, C., et al.: \u201cConnecting concepts helps put main ideas together\u201d: cognitive load and usability in learning biology with an AI-enriched textbook. Int. J. Educ. Technol. High. Educ. 19, 11 (2022). https:\/\/doi.org\/10.1186\/s41239-021-00317-3","journal-title":"Int. J. Educ. Technol. High. Educ."},{"key":"25_CR12","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1109\/THMS.2022.3144002","volume":"52","author":"G Modanwal","year":"2022","unstructured":"Modanwal, G., Rai, S.B., Jaiswal, A., Singh, T., Sarawadekar, K.: Can visually impaired use gestures to interact with computers? A cognitive load perspective. IEEE Trans. Hum.-Mach. Syst. 52, 267\u2013275 (2022). https:\/\/doi.org\/10.1109\/THMS.2022.3144002","journal-title":"IEEE Trans. Hum.-Mach. Syst."},{"key":"25_CR13","doi-asserted-by":"publisher","unstructured":"Belkhiria, C., Peysakhovich, V.: EOG Metrics for cognitive workload detection. In: Proceedings of Procedia Computer Science, vol. 192, pp. 1875\u20131884. Elsevier (2021). https:\/\/doi.org\/10.1016\/j.procs.2021.08.193","DOI":"10.1016\/j.procs.2021.08.193"},{"key":"25_CR14","doi-asserted-by":"publisher","unstructured":"Liang, Y., Liang, W., Qu, J., Yang, J.: Experimental study on EEG with different cognitive load. In: 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 4351\u20134356. IEEE, Xi\u2019an, China (2018). https:\/\/doi.org\/10.1109\/SMC.2018.00735","DOI":"10.1109\/SMC.2018.00735"},{"key":"25_CR15","doi-asserted-by":"publisher","unstructured":"Urrestilla, N., St-Onge, D.: Measuring cognitive load: heart-rate variability and pupillometry assessment. In: 2020 International Conference on Multimodal Interaction (ICMI), pp. 405\u2013410. ACM, Montr\u00e9al, PQ, Canada (2020). https:\/\/doi.org\/10.1145\/3395035.3425203","DOI":"10.1145\/3395035.3425203"},{"key":"25_CR16","doi-asserted-by":"publisher","unstructured":"von Janczewski, N., Kraus, J., Engeln, A., Baumann, M.: A subjective one-item measure based on NASA-TLX to assess cognitive workload in driver-vehicle interaction. Transp. Res. Part F Traffic Psychol. Behav. 86, 210\u2013225 (2022). https:\/\/doi.org\/10.1016\/j.trf.2022.02.012","DOI":"10.1016\/j.trf.2022.02.012"},{"issue":"3","key":"25_CR17","doi-asserted-by":"publisher","first-page":"251","DOI":"10.1023\/A:1022193728205","volume":"10","author":"J Sweller","year":"1998","unstructured":"Sweller, J., van Merri\u00ebnboer, J.J.G., Paas, F.G.W.C.: Cognitive architecture and instructional design. Educ. Psychol. Rev. 10(3), 251\u2013296 (1998)","journal-title":"Educ. Psychol. Rev."},{"issue":"2","key":"25_CR18","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1207\/s15516709cog1202_4","volume":"12","author":"J Sweller","year":"1988","unstructured":"Sweller, J.: Cognitive load during problem solving: effects on learning. Cogn. Sci. 12(2), 257\u2013285 (1988). https:\/\/doi.org\/10.1207\/s15516709cog1202_4","journal-title":"Cogn. Sci."},{"issue":"2","key":"25_CR19","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1007\/s10648-019-09465-5","volume":"31","author":"J Sweller","year":"2019","unstructured":"Sweller, J., van Merri\u00ebnboer, J.J.G., Paas, F.: Cognitive architecture and instructional design: 20 years later. Educ. Psychol. Rev. 31(2), 261\u2013292 (2019). https:\/\/doi.org\/10.1007\/s10648-019-09465-5","journal-title":"Educ. Psychol. Rev."},{"key":"25_CR20","doi-asserted-by":"publisher","unstructured":"Chen, F., et al.: Robust Multimodal Cognitive Load Measurement, pp. 1\u2013254. Springer, Cham (2016). https:\/\/doi.org\/10.1007\/978-3-319-31700-7","DOI":"10.1007\/978-3-319-31700-7"},{"key":"25_CR21","doi-asserted-by":"publisher","first-page":"566","DOI":"10.1016\/j.cag.2021.09.001","volume":"102","author":"B Herbert","year":"2022","unstructured":"Herbert, B., Wigley, G., Ens, B., Billinghurst, M.: Cognitive load considerations for augmented reality in network security training. Comput. Graph. 102, 566\u2013591 (2022). https:\/\/doi.org\/10.1016\/j.cag.2021.09.001","journal-title":"Comput. Graph."},{"key":"25_CR22","doi-asserted-by":"publisher","unstructured":"Kelleher, C., Hnin, W.: Predicting cognitive load in future code puzzles. In: Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI 2019), pp. 1\u201312 (2019). https:\/\/doi.org\/10.1145\/3290605.3300487","DOI":"10.1145\/3290605.3300487"},{"key":"25_CR23","doi-asserted-by":"publisher","DOI":"10.1016\/j.compedu.2021.104154","volume":"166","author":"P Albus","year":"2021","unstructured":"Albus, P., Vogt, A., Seufert, T.: Signaling in virtual reality influences learning outcome and cognitive load. Comput. Educ. 166, 104154 (2021). https:\/\/doi.org\/10.1016\/j.compedu.2021.104154","journal-title":"Comput. Educ."},{"issue":"1","key":"25_CR24","doi-asserted-by":"publisher","first-page":"63","DOI":"10.1207\/S15326985EP3801_8","volume":"38","author":"F Paas","year":"2003","unstructured":"Paas, F., Tuovinen, J.E., Tabbers, H., Van Gerven, P.W.M.: Cognitive load measurement as a means to advance cognitive load theory. Educ. Psychol. 38(1), 63\u201371 (2003). https:\/\/doi.org\/10.1207\/S15326985EP3801_8","journal-title":"Educ. Psychol."},{"key":"25_CR25","doi-asserted-by":"publisher","unstructured":"Sweller, J.: Cognitive load theory. In: Mestre, J.P., Ross, B.H. (eds.) Psychology of Learning and Motivation, vol. 55, pp. 37\u201376. Academic Press, San Diego (2011). https:\/\/doi.org\/10.1016\/B978-0-12-387691-1.00002-8","DOI":"10.1016\/B978-0-12-387691-1.00002-8"},{"key":"25_CR26","doi-asserted-by":"publisher","unstructured":"Moser, I., Comsa, I.-S., Parsaeifard, B., Bergamin, P.: Work-in-progress-motion tracking data as a proxy for cognitive load in immersive learning. In: Proceedings of the 8th International Conference on Immersive Learning Research Network (iLRN 2022), pp. 1\u20133 (2022). https:\/\/doi.org\/10.23919\/iLRN55037.2022.9815894","DOI":"10.23919\/iLRN55037.2022.9815894"},{"key":"25_CR27","doi-asserted-by":"publisher","unstructured":"Massoni Sguerra, B., Jouvelot, P.: \u2018An unscented hound for working memory\u2019 and the cognitive adaptation of user interfaces. In: Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 2019), pp. 78\u201385 (2019). https:\/\/doi.org\/10.1145\/3320435.3320443","DOI":"10.1145\/3320435.3320443"},{"key":"25_CR28","doi-asserted-by":"publisher","unstructured":"Ahmadi, M., et al.: Cognitive load measurement with physiological sensors in virtual reality during physical activity. In: Proceedings of 29th ACM Symposium on Virtual Reality Software and Technology, Oct. 2023, pp. 1\u201311 (2023). https:\/\/doi.org\/10.1145\/3611659.3615704","DOI":"10.1145\/3611659.3615704"},{"issue":"2","key":"25_CR29","doi-asserted-by":"publisher","first-page":"495","DOI":"10.1007\/s00779-022-01707-8","volume":"27","author":"CL Caldiroli","year":"2023","unstructured":"Caldiroli, C.L., et al.: Comparing online cognitive load on mobile versus PC-based devices. Pers. Ubiquitous Comput. 27(2), 495\u2013505 (2023). https:\/\/doi.org\/10.1007\/s00779-022-01707-8","journal-title":"Pers. Ubiquitous Comput."},{"key":"25_CR30","doi-asserted-by":"publisher","unstructured":"Abbad-Andaloussi, A., Sorg, T., Weber, B.: Estimating developers\u2019 cognitive load at a fine-grained level using eye-tracking measures. In: Proceedings of the IEEE\/ACM 30th International Conference on Program Comprehension (ICPC), May 2022, pp. 111\u2013121 (2022). https:\/\/doi.org\/10.1145\/3524610.3527890","DOI":"10.1145\/3524610.3527890"},{"key":"25_CR31","doi-asserted-by":"publisher","unstructured":"Arjun, S., Hebbar, A., Sanjana, Biswas, P.: VR cognitive load dashboard for flight simulator. In: Proceedings of Symposium on Eye Tracking Research and Applications, pp. 1\u20134 (2022). https:\/\/doi.org\/10.1145\/3517031.3529777","DOI":"10.1145\/3517031.3529777"},{"key":"25_CR32","doi-asserted-by":"publisher","unstructured":"Pradhan, G.N., Hagen, K.M., Cevette, M.J., Stepanek, J.: Oculocognitive addition test: quantifying cognitive performance during variable cognitive workload through eye movement features. In: Proceedings of the IEEE 10th International Conference on Healthcare Informatics, May 2022, pp. 422\u2013430 (2022). https:\/\/doi.org\/10.1109\/ICHI54592.2022.00064","DOI":"10.1109\/ICHI54592.2022.00064"},{"issue":"1","key":"25_CR33","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1207\/S15326985EP3801_7","volume":"38","author":"R Brunken","year":"2003","unstructured":"Brunken, R., Plass, J.L., Leutner, D.: Direct measurement of cognitive load in multimedia learning. Educ. Psychol. 38(1), 53\u201361 (2003). https:\/\/doi.org\/10.1207\/S15326985EP3801_7","journal-title":"Educ. Psychol."},{"key":"25_CR34","doi-asserted-by":"publisher","unstructured":"Hutt, S., et al.: Modeling cognitive load in online learning environments using interaction logs. In: Proceedings of ACM Conference on Learning Analytics and Knowledge (LAK), pp. 1\u201312 (2022). https:\/\/doi.org\/10.1145\/3491140.3528324","DOI":"10.1145\/3491140.3528324"},{"key":"25_CR35","doi-asserted-by":"publisher","DOI":"10.1016\/j.compedu.2023.104803","volume":"187","author":"M Zhou","year":"2023","unstructured":"Zhou, M., et al.: Cognitive load assessment in MOOCs via behavioral engagement patterns. Comput. Educ. 187, 104803 (2023). https:\/\/doi.org\/10.1016\/j.compedu.2023.104803","journal-title":"Comput. Educ."},{"key":"25_CR36","unstructured":"Norman, D.A.: The Design of Everyday Things: Revised and Expanded Edition. Basic Books (2013)"},{"key":"25_CR37","doi-asserted-by":"publisher","unstructured":"Fogg, B.J.: A behavior model for persuasive design. In: Proceedings of 4th International Conference on Persuasive Technology (2009). https:\/\/doi.org\/10.1145\/1541948.1541999","DOI":"10.1145\/1541948.1541999"},{"key":"25_CR38","unstructured":"Norman, D.A.: The Psychology of Everyday Things. Basic Books (1988)"},{"issue":"2","key":"25_CR39","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1080\/01449290500330331","volume":"25","author":"M Hassenzahl","year":"2006","unstructured":"Hassenzahl, M., Tractinsky, N.: User experience - a research agenda. Behav. Inf. Technol. 25(2), 91\u201397 (2006). https:\/\/doi.org\/10.1080\/01449290500330331","journal-title":"Behav. Inf. Technol."},{"issue":"4","key":"25_CR40","doi-asserted-by":"publisher","first-page":"394","DOI":"10.1177\/0963721420922183","volume":"29","author":"F Paas","year":"2020","unstructured":"Paas, F., van Merri\u00ebnboer, J.J.G.: Cognitive-load theory: methods to manage working memory load in the learning of complex tasks. Curr. Dir. Psychol. Sci. 29(4), 394\u2013398 (2020). https:\/\/doi.org\/10.1177\/0963721420922183","journal-title":"Curr. Dir. Psychol. Sci."},{"key":"25_CR41","unstructured":"Shneiderman, B., Plaisant, C., Cohen, M., Jacobs, S., Elmqvist, N., Diakopoulos, N.: Designing the User Interface: Strategies for Effective Human-Computer Interaction, 6th edn. Pearson (2016)"},{"key":"25_CR42","unstructured":"Woolf, B.P.: Building Intelligent Interactive Tutors: Student-Centered Strategies for Revolutionizing e-Learning. Morgan Kaufmann (2010)"},{"key":"25_CR43","doi-asserted-by":"crossref","unstructured":"Brusilovsky, P., Mill\u00e1n, E.: User modeling for adaptive hypermedia and adaptive educational systems. In: The Adaptive Learning Systems, pp. 3\u201320 (2015)","DOI":"10.1007\/978-3-540-72079-9_1"},{"issue":"4","key":"25_CR44","first-page":"1","volume":"14","author":"G Siemens","year":"2013","unstructured":"Siemens, G.: Learning analytics: the emergence of a new discipline. Int. Rev. Res. Open Distrib. Learn. 14(4), 1\u20133 (2013)","journal-title":"Int. Rev. Res. Open Distrib. Learn."},{"issue":"1","key":"25_CR45","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s41239-019-0171-0","volume":"16","author":"O Zawacki-Richter","year":"2019","unstructured":"Zawacki-Richter, O., Mar\u00edn, V.I., Bond, M., Gouverneur, F.: Systematic review of research on artificial intelligence in higher education: the future of education. Int. J. Educ. Technol. High. Educ. 16(1), 1\u201327 (2019)","journal-title":"Int. J. Educ. Technol. High. Educ."},{"key":"25_CR46","doi-asserted-by":"crossref","unstructured":"Hart, S.G.: NASA-Task Load Index (NASA-TLX); 20 years later. In: Proceedings of the Human Factors and Ergonomics Society 50th Annual Meeting, pp. 904\u2013908. SAGE Journals (2006)","DOI":"10.1177\/154193120605000909"},{"key":"25_CR47","volume-title":"Pattern Recognition and Machine Learning","author":"CM Bishop","year":"2006","unstructured":"Bishop, C.M.: Pattern Recognition and Machine Learning. Springer, New York (2006)"},{"key":"25_CR48","volume-title":"Applied Statistics for the Behavioral Sciences","author":"DE Hinkle","year":"2003","unstructured":"Hinkle, D.E., Wiersma, W., Jurs, S.G.: Applied Statistics for the Behavioral Sciences, 5th edn. Houghton Mifflin, Boston (2003)","edition":"5"},{"key":"25_CR49","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1016\/j.inffus.2015.06.005","volume":"27","author":"L Rokach","year":"2016","unstructured":"Rokach, L.: Decision forest: twenty years of research. Inf. Fusion 27, 111\u2013125 (2016). https:\/\/doi.org\/10.1016\/j.inffus.2015.06.005","journal-title":"Inf. Fusion"},{"key":"25_CR50","doi-asserted-by":"publisher","first-page":"25960","DOI":"10.1038\/s41598-024-77122-1","volume":"14","author":"B Zhu","year":"2024","unstructured":"Zhu, B., Chau, K.T., Mokmin, N.A.M.: Optimizing cognitive load and learning adaptability with adaptive microlearning for in-service personnel. Sci. Rep. 14, 25960 (2024). https:\/\/doi.org\/10.1038\/s41598-024-77122-1","journal-title":"Sci. Rep."},{"key":"25_CR51","unstructured":"Nielsen Norman Group: Progressive disclosure. https:\/\/www.nngroup.com\/articles\/progressive-disclosure\/. Accessed 22 Jan 2025"},{"key":"25_CR52","doi-asserted-by":"publisher","first-page":"206","DOI":"10.1080\/10508406.2018.1522258","volume":"28","author":"J Van de Pol","year":"2019","unstructured":"Van de Pol, J., Mercer, N., Volman, M.: Scaffolding student understanding in small-group work: students\u2019 uptake of teacher support in subsequent small-group interaction. J. Learn. Sci. 28, 206\u2013239 (2019). https:\/\/doi.org\/10.1080\/10508406.2018.1522258","journal-title":"J. Learn. Sci."},{"issue":"1","key":"25_CR53","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1186\/s40561-022-00200-2","volume":"9","author":"B \u00c7eken","year":"2022","unstructured":"\u00c7eken, B., Ta\u015fk\u0131n, N.: Multimedia learning principles in different learning environments: a systematic review. Smart Learn. Environ. 9(1), 19 (2022). https:\/\/doi.org\/10.1186\/s40561-022-00200-2","journal-title":"Smart Learn. Environ."},{"key":"25_CR54","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2022.858411","volume":"13","author":"HL Liu","year":"2022","unstructured":"Liu, H.L., Wang, T.H., Lin, H.K., Lai, C.F., Huang, Y.M.: The influence of affective feedback adaptive learning system on learning engagement and self-directed learning. Front. Psychol. 13, 858411 (2022). https:\/\/doi.org\/10.3389\/fpsyg.2022.858411","journal-title":"Front. Psychol."},{"issue":"8","key":"25_CR55","first-page":"2612","volume":"13","author":"D Parakh","year":"2024","unstructured":"Parakh, D., Lodha, P., Subalalitha, C.N.: Adaptive personalized learning system with generative AI. Front. Health Inform. 13(8), 2612\u20132637 (2024)","journal-title":"Front. Health Inform."},{"key":"25_CR56","doi-asserted-by":"publisher","unstructured":"Romero, O.J., Haig, A., Kirabo, L., Yang, Q., Zimmerman, J., Tomasic, A., Steinfeld, A.: A long-term evaluation of adaptive interface design for mobile transit information. In: 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI \u201820), pp. 1\u201311. ACM, Oldenburg, Germany (2020). https:\/\/doi.org\/10.1145\/3379503.3403536","DOI":"10.1145\/3379503.3403536"},{"issue":"7","key":"25_CR57","doi-asserted-by":"publisher","first-page":"6044","DOI":"10.3390\/su15076044","volume":"15","author":"M\u00c1 P\u00e9rez-Ju\u00e1rez","year":"2023","unstructured":"P\u00e9rez-Ju\u00e1rez, M.\u00c1., Gonz\u00e1lez-Ortega, D., Aguiar-P\u00e9rez, J.M.: Digital distractions from the point of view of higher education students. Sustainability 15(7), 6044 (2023). https:\/\/doi.org\/10.3390\/su15076044","journal-title":"Sustainability"}],"container-title":["Lecture Notes in Computer Science","Design, User Experience, and Usability"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-93221-2_25","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T22:03:04Z","timestamp":1748556184000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-93221-2_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031932205","9783031932212"],"references-count":57,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-93221-2_25","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":"25 May 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"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":"Gothenburg","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Sweden","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 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 June 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"hcii2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/2025.hci.international\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}