Acknowledgement
Supported by : 한국연구재단
References
- Alwehaibi, H. (2015). The impact of using youtube in EFL classroom on enhancing EFL students' content learning. Journal of College Teaching and Learning, 12(2), 121-126. https://doi.org/10.19030/tlc.v12i2.9182
- Baddeley, A. (2007). Working memory, thought, and action. Oxford: Oxford University Press. https://doi.org/10.1093/acprof:oso/9780198528012.001.0001
- Burmester, J., Spalek, K., & Wartenburger, I. (2014). Context updating during sentence comprehension: The effect of aboutness topic. Brain and Language, 137, 62-76. https://doi.org/10.1016/j.bandl.2014.08.001
- Buzzetto-More, N. (2015). Student attitudes towards the integration of youtube in online, hybrid, and web-assisted courses: An examination of the impact of course modality on perception. MERLOT Journal of Online Learning and Teaching, 11, 55-73.
- DeLong, K. A., Quante, L., & Kutas, M. (2014). Predictability, plausibility, and two late ERP positivities during written sentence comprehension. Neuropsychologia, 61, 150-162. https://doi.org/10.1016/j.neuropsychologia.2014.06.016
- Evans, W. J., Cui, L., & Starr, A. (1995). Olfactory event-related potentials in normal human subjects: Effects of age and gender. Electroencephalography and Clinical Neurophysiology, 95(4), 293-301. https://doi.org/10.1016/0013-4694(95)00055-4
- Geyer, A., Holcomb, P., Kuperberg, G., & Perlmutter, N. (2006). Plausibility and sentence comprehension. An ERP study. Cognitive Neuroscience Supplement, Abstract, 1-1.
- Hakoda, Y. (2010). Cognitive psychology: Brain, modeling and evidence. 강윤봉 (역). (2014). 인지심리학. 서울: 한국뇌기반교육연구소.
- Hu, W., Xie, N., Li, L., Zeng, X., & Maybank, S. (2011). A survey on visual content-based video indexing and retrieval. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 41(6), 797-819. https://doi.org/10.1109/TSMCC.2011.2109710
- Kim, A., & Osterhout, L. (2005). The independence of combinatory semantic processing: Evidence from event-related potentials. Journal of Memory and Language, 52(2), 205-225. https://doi.org/10.1016/j.jml.2004.10.002
- Kim, H. H., & Kim, Y. H. (2016). Generic speech summarization of transcribed lecture videos: Using tags and their semantic relations. Journal of the Association for Information Science and Technology, 67(2), 366-379. https://doi.org/10.1002/asi.23391
- Kim, H. H., & Kim, Y. H. (2019a). Video summarization using event-related potential responses to shot boundaries in real-time video watching. Journal of the Association for Information Science and Technology, 70(2), 164-175. http://doi.org/10.1002/asi.24103
- Kim, H. H., & Kim, Y. H. (2019b). ERP/MMR algorithm for classifying topic-relevant and topic-irrelevant visual shots of documentary videos. Journal of the Association for Information Science and Technology, 70(9), 931-941. https://doi.org/10.1002/asi.24179
- Kutas, M., & Federmeier, K. D. (2011). Thirty years and counting: Finding meaning in the N400 component of the event-related brain potential (ERP). Annual Review of Psychology, 62, 621-647. https://doi.org/10.1146/annurev.psych.093008.131123
- Luck, S. J. (2014). An introduction to the event-related potential technique. Cambridge, MA: MIT Press.
- Maskey, S., & Hirschberg, J. (2006). Summarizing speech without text using hidden markov models. In Proceedings of the Human Language Technology Conference of the NAACL (Companion Volume: Short Papers, pp. 89-92). Association for Computational Linguistics, Stroudsburg, PA, USA. https://doi.org/10.3115/1614049.1614072
- Martin, D. (2018). YouTube: The ultimate 2018 guide to grow your youtube channel, make money fast with proven techniques and foolproof step by step strategies. Cambridge: CreateSpace Independent Publishing Platform.
- Mayer, R. E. (2005). Cognitive theory of multimedia learning. The Cambridge handbook of multimedia learning (pp. 134-146). New York: Cambridge University Press.
- Moon, J., Kwon, Y., Park, J., & Yoon, W. C. (2019). Detecting user attention to video segments using interval EEG features. Expert Systems with Applications, 115, 578-592. https://doi.org/10.1016/j.eswa.2018.08.016
- Nakano, H., Rosario, M. A. M., Oshima-Takane, Y., Pierce, L., & Tate, S. G. (2014). Electrophysiological response to omitted stimulus in sentence processing. Neuroreport, 25(14), 1169-1174. https://doi.org/10.1097/WNR.0000000000000250
- Nieuwland, M. S., & Martin, A. E. (2012). If the real world were irrelevant, so to speak: The role of propositional truth-value in counterfactual sentence comprehension. Cognition, 122(1), 102-109. https://doi.org/10.1016/j.cognition.2011.09.001
- van Berkum, J. J., Hagoort, P., & Brown, C. M. (1999). Semantic integration in sentences and discourse: Evidence from the N400. Journal of Cognitive Neuroscience, 11(6), 657-671. https://doi.org/10.1162/089892999563724
- Wang, L., & Schumacher, P. B. (2013). New is not always costly: Evidence from online processing of topic and contrast in Japanese. Frontiers in Psychology, 4, 363. https://doi.org/10.3389/fpsyg.2013.00363
- Wilson, S. M., Bautista, A., & McCarron, A. (2018). Convergence of spoken and written language processing in the superior temporal sulcus. NeuroImage, 171, 62-74. https://doi.org/10.1016/j.neuroimage.2017.12.068
- Zhang, Z., & Fung, P. (2012). Active learning with semi-automatic annotation for extractive speech summarization. ACM Transactions on Speech and Language Processing, 8(4), 1-25. https://doi.org/10.1145/2093153.2093155