Reference: | Al-Samarraie, H., Sarsam, S. M., & Umar, I. N. (2017). Visual perception of multi-column-layout text: insight from repeated and non-repeated reading. Behaviour & Information Technology, 36(1), 75–84. https://doi.org/10.1080/0144929x.2016.1196502 Baccino, T., & Pynte, J. (1994). Spatial coding and discourse models during text reading. Language and Cognitive Processes, 9(2), 143–155. https://doi.org/10.1080/01690969408402114 Bailey, R. W. (1989). Human performance engineering: Using human factors/ergonomics to achieve computer system usability. Prentice-Hall, Inc. Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015). Fitting Linear Mixed-Effects Models Using lme4. Journal of Statistical Software, 67(1). https://doi.org/10.18637/jss.v067.i01 Bernard, M. L., Chaparro, B. S., Mills, M. M., & Halcomb, C. G. (2002). Examining children’s reading performance and preference for different computer-displayed text. Behaviour & Information Technology, 21(2), 87–96. https://doi.org/10.1080/01449290210146737 Bernard, M. L., Chaparro, B. S., Mills, M. M., & Halcomb, C. G. (2003). Comparing the effects of text size and format on the readibility of computer-displayed Times New Roman and Arial text. International Journal of Human-Computer Studies, 59(6), 823–835. https://doi.org/10.1016/s1071-5819(03)00121-6 Bernard, M., Liao, C. H., & Mills, M. (2001). The effects of font type and size on the legibility and reading time of online text by older adults. CHI ’01 Extended Abstracts on Human Factors in Computing Systems, 175–176. https://doi.org/10.1145/634067.634173 Blackmore-Wright, S., Georgeson, M. A., & Anderson, S. J. (2013). Enhanced Text Spacing Improves Reading Performance in Individuals with Macular Disease. PLoS ONE, 8(11), e80325. https://doi.org/10.1371/journal.pone.0080325 Boer, M. van den, & Hakvoort, B. E. (2014). Default spacing is the optimal spacing for word reading. Quarterly Journal of Experimental Psychology, 68(4), 697–709. https://doi.org/10.1080/17470218.2014.964272 Bouma, H. (1970). Interaction Effects in Parafoveal Letter Recognition. Nature, 226(5241), 177–178. https://doi.org/10.1038/226177a0 ButTaiwan. (2020). genryu-font (1.501) [Computer software]. https://github.com/ButTaiwan/genryu-font Chan, A. H. S., Tsang, S. N. H., & Ng, A. W. Y. (2013). Effects of Line Length, Line Spacing, and Line Number on Proofreading Performance and Scrolling of Chinese Text. Human Factors: The Journal of Human Factors and Ergonomics Society, 56(3), 521–534. https://doi.org/10.1177/0018720813499368 Chen, J.-T., Kuo, Y.-C., Hsu, T.-Y., & Wang, C.-A. (2022). Fatigue and Arousal Modulations Revealed by Saccade and Pupil Dynamics. International Journal of Environmental Research and Public Health, 19(15), 9234. https://doi.org/10.3390/ijerph19159234 Chung, S. T. L. (2002). The effect of letter spacing on reading speed in central and peripheral vision. Investigative Ophthalmology & Visual Science, 43(4), 1270–1276. Chung, S. T. L. (2004). Reading Speed Benefits from Increased Vertical Word Spacing in Normal Peripheral Vision. Optometry and Vision Science, 81(7), 525–535. https://doi.org/10.1097/00006324-200407000-00014 Chung, S. T. L. (2012). Dependence of Reading Speed on Letter Spacing in Central Vision Loss. Optometry and Vision Science, 89(9), 1288–1298. https://doi.org/10.1097/opx.0b013e318264c9dd Chung, S. T. L., Jarvis, S. H., Woo, S. Y., Hanson, K., & Jose, R. T. (2008). Reading Speed Does Not Benefit from Increased Line Spacing in AMD Patients. Optometry and Vision Science, 85(9), 827–833. https://doi.org/10.1097/opx.0b013e31818527ea DeBruine, L. M., & Barr, D. J. (2021). Understanding Mixed-Effects Models Through Data Simulation. Advances in Methods and Practices in Psychological Science, 4(1), 2515245920965119. https://doi.org/10.1177/2515245920965119 Dehaene, S., Cohen, L., Sigman, M., & Vinckier, F. (2005). The neural code for written words: a proposal. Trends in Cognitive Sciences, 9(7), 335–341. https://doi.org/10.1016/j.tics.2005.05.004 Diemand-Yauman, C., Oppenheimer, D. M., & Vaughan, E. B. (2011). Fortune favors the (): Effects of disfluency on educational outcomes. Cognition, 118(1), 111–115. https://doi.org/10.1016/j.cognition.2010.09.012 Dobryakova, E., Genova, H., Schneider, V., Chiaravalloti, N. D., Spirou, A., Wylie, G. R., & DeLuca, J. (2020). Reward presentation reduces on-task fatigue in traumatic brain injury. Cortex, 126, 16–25. https://doi.org/10.1016/j.cortex.2020.01.003 Doerig, A., Bornet, A., Rosenholtz, R., Francis, G., Clarke, A. M., & Herzog, M. H. (2019). Beyond Bouma’s window: How to explain global aspects of crowding? PLoS Computational Biology, 15(5), e1006580. https://doi.org/10.1371/journal.pcbi.1006580 Duchowski, A. T. (2017). Eye Tracking Methodology, Theory and Practice. Springer. https://doi.org/10.1007/978-3-319-57883-5 Dyson, M. C. (2004). How physical text layout affects reading from screen. Behaviour & Information Technology, 23(6), 377–393. https://doi.org/10.1080/01449290410001715714 Dyson, M. C., & Kipping, G. J. (1997). The legibility of screen formats: Are three columns better than one? Computers & Graphics, 21(6), 703–712. https://doi.org/10.1016/s0097-8493(97)00048-4 Eckstein, M. K., Guerra-Carrillo, B., Singley, A. T. M., & Bunge, S. A. (2017). Beyond eye gaze: What else can eyetracking reveal about cognition and cognitive development? Developmental Cognitive Neuroscience, 25, 69–91. https://doi.org/10.1016/j.dcn.2016.11.001 Feely, M., Rubin, G. S., Ekstrom, K., & Perera, S. (2005). Investigation into font characteristics for optimum reading fluency in readers with sight problems. International Congress Series, 1282, 530–533. https://doi.org/10.1016/j.ics.2005.05.121 Fuchs, J., Heyer, T., Langenhan, D., & Hippius, M. (2008). Influence of Font Sizes on the Readability and Comprehensibility of Package Inserts.pdf. Pharmazeutische Industrie, 70, 584–592. Gershon, P., Ronen, A., Oron-Gilad, T., & Shinar, D. (2009). The effects of an interactive cognitive task (ICT) in suppressing fatigue symptoms in driving. Transportation Research Part F: Traffic Psychology and Behaviour, 12(1), 21–28. https://doi.org/10.1016/j.trf.2008.06.004 Goldstein, E. B., & Brockmole, J. (2016). Sensation and perception. Cengage Learning. Hagtvedt, H. (2011). The Impact of Incomplete Typeface Logos on Perceptions of the Firm. Journal of Marketing, 75(4), 86–93. https://doi.org/10.1509/jmkg.75.4.86 Hakvoort, B., Boer, M. van den, Leenaars, T., Bos, P., & Tijms, J. (2017). Improvements in reading accuracy as a result of increased interletter spacing are not specific to children with dyslexia. Journal of Experimental Child Psychology, 164, 101–116. https://doi.org/10.1016/j.jecp.2017.07.010 Hendrickson, A. (2005). Macular Degeneration. 1–23. https://doi.org/10.1007/3-540-26977-0_1 Herzog, M. H., Sayim, B., Chicherov, V., & Manassi, M. (2015). Crowding, grouping, and object recognition: A matter of appearance. Journal of Vision, 15(6), 5. https://doi.org/10.1167/15.6.5 Huang, D.-L., Rau, P.-L. P., & Liu, Y. (2009). Effects of font size, display resolution and task type on reading Chinese fonts from mobile devices. International Journal of Industrial Ergonomics, 39(1), 81–89. https://doi.org/10.1016/j.ergon.2008.09.004 Hughes, L. E., & Wilkins, A. J. (2002). Reading at a distance: Implications for the design of text in children’s big books. British Journal of Educational Psychology, 72(2), 213–226. https://doi.org/10.1348/000709902158856 Ingre, M., Åkerstedt, T., Peters, B., Anund, A., & Kecklund, G. (2006). Subjective sleepiness, simulated driving performance and blink duration: examining individual differences. Journal of Sleep Research, 15(1), 47–53. https://doi.org/10.1111/j.1365-2869.2006.00504.x Jo, J., Lee, S. J., Park, K. R., Kim, I.-J., & Kim, J. (2014). Detecting driver drowsiness using feature-level fusion and user-specific classification. Expert Systems with Applications, 41(4), 1139–1152. https://doi.org/10.1016/j.eswa.2013.07.108 Just, M. A., & Carpenter, P. A. (1976). Eye fixations and cognitive processes. Cognitive Psychology, 8(4), 441–480. https://doi.org/10.1016/0010-0285(76)90015-3 Kassambara, A. (2021). rstatix: Pipe-Friendly Framework for Basic Statistical Tests. R Package Version 0.7.0. https://CRAN.R-project.org/package=rstatix Kemmerer, D. (2015). Reading and Writing: Cognitive Neuroscience of Language. In D. Kemmerer (Ed.), Psychology Press (pp. 215–245). Kliegl, R., Wei, P., Dambacher, M., Yan, M., & Zhou, X. (2011). Experimental Effects and Individual Differences in Linear Mixed Models: Estimating the Relationship between Spatial, Object, and Attraction Effects in Visual Attention. Frontiers in Psychology, 1, 238. https://doi.org/10.3389/fpsyg.2010.00238 Kruk, R. S., & Muter, P. (1984). Reading of Continuous Text on Video Screens. Human Factors: The Journal of Human Factors and Ergonomics Society, 26(3), 339–345. https://doi.org/10.1177/001872088402600309 Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2017). lmerTest Package: Tests in Linear Mixed Effects Models. Journal of Statistical Software, 82(13), 1–26. https://doi.org/10.18637/jss.v082.i13 Lambooij, M., Fortuin, M., Heynderickx, I., & IJsselsteijn, W. (2009). Visual Discomfort and Visual Fatigue of Stereoscopic Displays: A Review. Journal of Imaging Science and Technology, 53(3), 030201. https://doi.org/10.2352/j.imagingsci.technol.2009.53.3.030201 Lee, D.-S., Ko, Y.-H., Shen, I.-H., & Chao, C.-Y. (2011). Effect of light source, ambient illumination, character size and interline spacing on visual performance and visual fatigue with electronic paper displays. Displays, 32(1), 1–7. https://doi.org/10.1016/j.displa.2010.09.001 Ling, J., & Schaik, P. van. (2007). The influence of line spacing and text alignment on visual search of web pages. Displays, 28(2), 60–67. https://doi.org/10.1016/j.displa.2007.04.003 Liu, P., & Li, X. (2014). Inserting spaces before and after words affects word processing differently in Chinese: Evidence from eye movements. British Journal of Psychology, 105(1), 57–68. https://doi.org/10.1111/bjop.12013 Lüdecke, D., Ben-Shachar, M., Patil, I., Waggoner, P., & Makowski, D. (2021). performance: An R Package for Assessment, Comparison and Testing of Statistical Models. Journal of Open Source Software, 6(60), 3139. https://doi.org/10.21105/joss.03139 Ma, G. (2017). Does interword spacing influence lexical processing in Chinese reading? Visual Cognition, 25(7–8), 815–824. https://doi.org/10.1080/13506285.2017.1338322 Ma, X., Li, D., Tsai, J.-L., & Hsu, Y.-Y. (2022). An eye-tracking based investigation into reading behavior during Chinese-English sight translation: The effect of word order asymmetry. The International Journal of Translation and Interpreting Research, 14(1). https://doi.org/10.12807/ti.114201.2022.a04 Manassi, M., Sayim, B., & Herzog, M. H. (2013). When crowding of crowding leads to uncrowding. Journal of Vision, 13(13), 10–10. https://doi.org/10.1167/13.13.10 Martelli, M., Filippo, G. D., Spinelli, D., & Zoccolotti, P. (2009). Crowding, reading, and developmental dyslexia. Journal of Vision, 9(4), 14–14. https://doi.org/10.1167/9.4.14 Masulli, F., Galluccio, M., Gerard, C.-L., Peyre, H., Rovetta, S., & Bucci, M. P. (2018). Effect of different font sizes and of spaces between words on eye movement performance: An eye tracker study in dyslexic and non-dyslexic children. Vision Research, 153, 24–29. https://doi.org/10.1016/j.visres.2018.09.008 McClelland, J. L., & Rumelhart, D. E. (1981). An interactive activation model of context effects in letter perception: I. An account of basic findings. Psychological Review, 88(5), 375–407. https://doi.org/10.1037/0033-295x.88.5.375 McConkie, G. W., & Rayner, K. (1975). The span of the effective stimulus during a fixation in reading. Perception & Psychophysics, 17(6), 578–586. https://doi.org/10.3758/bf03203972 McCormick, E. J., & Sanders, M. S. (1982). Human factors in engineering and design. McGraw-Hill Companies. Mills, C. B., & Weldon, L. J. (1987). Reading text from computer screens. ACM Computing Surveys (CSUR), 19(4), 329–357. https://doi.org/10.1145/45075.46162 Moll, K., & Jones, M. (2013). Naming Fluency in Dyslexic and Nondyslexic Readers: Differential Effects of Visual Crowding in Foveal, Parafoveal, and Peripheral Vision. Quarterly Journal of Experimental Psychology, 66(11), 2085–2091. https://doi.org/10.1080/17470218.2013.840852 Morrison, R. E., & Inhoff, A. W. (1981). Visual factors and eye movements in reading. Visible Language, 15(2), 129–146. Muter, P., & Maurutto, P. (1991). Reading and skimming from computer screens and books: the paperless office revisited? Behaviour & Information Technology, 10(4), 257–266. https://doi.org/10.1080/01449299108924288 Nakagawa, S., Johnson, P. C. D., & Schielzeth, H. (2017). The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded. Journal of The Royal Society Interface, 14(134), 20170213. https://doi.org/10.1098/rsif.2017.0213 Noguchi, K., Gel, Y. R., Brunner, E., & Konietschke, F. (2012). nparLD: An R Software Package for the Nonparametric Analysis of Longitudinal Data in Factorial Experiments. Journal of Statistical Software, 12(50), 1–23. http://www.jstatsoft.org/v50/i12/ Ostrovsky, A., Ribak, J., Pereg, A., & Gaton, D. (2012). Effects of job-related stress and burnout on asthenopia among high-tech workers. Ergonomics, 55(8), 854–862. https://doi.org/10.1080/00140139.2012.681808 Peirce, J., Gray, J. R., Simpson, S., MacAskill, M., Höchenberger, R., Sogo, H., Kastman, E., & Lindeløv, J. K. (2019). PsychoPy2: Experiments in behavior made easy. Behavior Research Methods, 51(1), 195–203. https://doi.org/10.3758/s13428-018-01193-y Pelli, D. G., & Tillman, K. A. (2008). The uncrowded window of object recognition. Nature Neuroscience, 11(10), 1129–1135. https://doi.org/10.1038/nn.2187 Perea, M., Giner, L., Marcet, A., & Gomez, P. (2016). Does Extra Interletter Spacing Help Text Reading in Skilled Adult Readers? The Spanish Journal of Psychology, 19, E26. https://doi.org/10.1017/sjp.2016.28 Perea, M., Panadero, V., Moret-Tatay, C., & Gómez, P. (2012). The effects of inter-letter spacing in visual-word recognition: Evidence with young normal readers and developmental dyslexics. Learning and Instruction, 22(6), 420–430. https://doi.org/10.1016/j.learninstruc.2012.04.001 Perkins, E. S., & Davson, H. (2020, August 7). Human eye. Encyclopedia Britannica. https://www.britannica.com/science/human-eye Pinheiro, J. C., & Bates, D. M. (2000). Mixed-Effects Models in S and S-PLUS. Statistics and Computing. https://doi.org/10.1007/b98882 Pollatsek, A., Bolozky, S., Well, A. D., & Rayner, K. (1981). Asymmetries in the perceptual span for Israeli readers. Brain and Language, 14(1), 174–180. https://doi.org/10.1016/0093-934x(81)90073-0 Rayner, K. (1998). Eye Movements in Reading and Information Processing: 20 Years of Research. Psychological Bulletin, 124(3), 372–422. https://doi.org/10.1037/0033-2909.124.3.372 Rayner, K., Fischer, M. H., & Pollatsek, A. (1998). Unspaced text interferes with both word identification and eye movement control. Vision Research, 38(8), 1129–1144. https://doi.org/10.1016/s0042-6989(97)00274-5 Rayner, K., Pollatsek, A., Ashby, J., & Jr., C. C. (2019). Psychology of Reading, 2nd Edition. https://doi.org/10.4324/9780203155158 R Core Team. (2020). R: A language and environment for statistical computing. [R]. R Foundation for Statistical Computing. https://www.R-project.org/ Reber, R., Schwarz, N., & Winkielman, P. (2004). Processing Fluency and Aesthetic Pleasure: Is Beauty in the Perceiver’s Processing Experience? Personality and Social Psychology Review, 8(4), 364–382. https://doi.org/10.1207/s15327957pspr0804_3 Sanchez, C. A., & Jaeger, A. J. (2015). If it’s hard to read, it changes how long you do it: Reading time as an explanation for perceptual fluency effects on judgment. Psychonomic Bulletin & Review, 22(1), 206–211. https://doi.org/10.3758/s13423-014-0658-6 Schneps, M. H., Thomson, J. M., Sonnert, G., Pomplun, M., Chen, C., & Heffner-Wong, A. (2013). Shorter Lines Facilitate Reading in Those Who Struggle. PLoS ONE, 8(8), e71161. https://doi.org/10.1371/journal.pone.0071161 Shu, H., Zhou, W., Yan, M., & Kliegl, R. (2011). Font size modulates saccade-target selection in Chinese reading. Attention, Perception, & Psychophysics, 73(2), 482–490. https://doi.org/10.3758/s13414-010-0029-y Slattery, T. J., Yates, M., & Angele, B. (2016). Interword and Interletter Spacing Effects During Reading Revisited: Interactions With Word and Font Characteristics. Journal of Experimental Psychology: Applied, 22(4), 406–422. https://doi.org/10.1037/xap0000104 Song, H., & Schwarz, N. (2008). If It’s Hard to Read, It’s Hard to Do. Psychological Science, 19(10), 986–988. https://doi.org/10.1111/j.1467-9280.2008.02189.x SR Research. (2020). EyeLink® Portable Duo User Manual. https://www.sr-research.com/support/attachment.php?aid=1386 Stern, J. A., Boyer, D., & Schroeder, D. (1994). Blink Rate: A Possible Measure of Fatigue. Human Factors: The Journal of Human Factors and Ergonomics Society, 36(2), 285–297. https://doi.org/10.1177/001872089403600209 Sternberg, R. J., & Sternberg, K. (2016). Cognitive Psychology. Wadsworth Publishing Company. Tarasov, D. A., Sergeev, A. P., & Filimonov, V. V. (2015). Legibility of Textbooks: A Literature Review. Procedia - Social and Behavioral Sciences, 174, 1300–1308. https://doi.org/10.1016/j.sbspro.2015.01.751 Tinker, M. A. (1963). Influence of simultaneous variation in size of type, width of line, and leading for newspaper type. Journal of Applied Psychology, 47(6), 380–382. https://doi.org/10.1037/h0043573 Vanderschantz, N. (2008). Reveiwing the understanding of the effects of spacing on children’s eye movements for on screen reading. Veneri, G., & Rufa, A. (2017). Extrafoveal Vision Maximizes the Likelihood to Grab Information in Visual-sequential Search. In Computer Communication & Collaboration (Vol. 1–5, pp. 21–34). Academic Research Centre of Canada. Vidyasagar, T. R., & Pammer, K. (2010). Dyslexia: a deficit in visuo-spatial attention, not in phonological processing. Trends in Cognitive Sciences, 14(2), 57–63. https://doi.org/10.1016/j.tics.2009.12.003 Wei, T., & Simko, V. (2021). R package “corrplot”: Visualization of a Correlation Matrix (0.92) [R]. https://github.com/taiyun/corrplot Wierwille, W. W., Wreggit, S. S., Kirn, C. L., Ellsworth, L. A., & Fairbanks, R. J. (1994). Research on vehicle-based driver status:performance monitoring; development, validation and refinement of algorithms for detection of driver drowsiness.pdf. https://rosap.ntl.bts.gov/view/dot/2578 Wilkins, A., Cleave, R., Grayson, N., & Wilson, L. (2009). Typography for children may be inappropriately designed. Journal of Research in Reading, 32(4), 402–412. https://doi.org/10.1111/j.1467-9817.2009.01402.x Williamson, K., Scolari, M., Jeong, S., Kim, M. S., & Awh, E. (2009). Experience-dependent changes in the topography of visual crowding. Journal of Vision, 9(11), 15–15. https://doi.org/10.1167/9.11.15 Winter, B. (2013). Linear models and linear mixed effects models in R with linguistic applications. ArXiv. https://doi.org/10.48550/arxiv.1308.5499 Yan, M., Zhou, W., Shu, H., & Kliegl, R. (2015). Perceptual Span Depends on Font Size During the Reading of Chinese Sentences. Journal of Experimental Psychology: Learning, Memory, and Cognition, 41(1), 209–219. https://doi.org/10.1037/a0038097 Yen, N.-S., Tsai, J.-L., Chen, P.-L., Lin, H.-Y., & Chen, A. L. P. (2011). Effects of typographic variables on eye-movement measures in reading Chinese from a screen. Behaviour & Information Technology, 30(6), 797–808. https://doi.org/10.1080/0144929x.2010.523900 Yu, L., Zhang, Q., Priest, C., Reichle, E. D., & Sheridan, H. (2016). Character-complexity effects in Chinese reading and visual search: A comparison and theoretical implications. Quarterly Journal of Experimental Psychology, 71(1), 140–151. https://doi.org/10.1080/17470218.2016.1272616 Zhang, J.-Y., Zhang, T., Xue, F., Liu, L., & Yu, C. (2009). Legibility of Chinese characters in peripheral vision and the top-down influences on crowding. Vision Research, 49(1), 44–53. https://doi.org/10.1016/j.visres.2008.09.021 Zorzi, M., Barbiero, C., Facoetti, A., Lonciari, I., Carrozzi, M., Montico, M., Bravar, L., George, F., Pech-Georgel, C., & Ziegler, J. C. (2012). Extra-large letter spacing improves reading in dyslexia. Proceedings of the National Academy of Sciences, 109(28), 11455–11459. https://doi.org/10.1073/pnas.1205566109
佐藤直樹、ASYL (2014))。基本の基本:版面設計的基礎思維。麥浩斯。 劉麗穎(2015)。字體大小、字體類型和文本間距對黃斑病變病人閱讀績效的影響。吉林大學。 台灣傳播調查資料庫(2020年1月20日)。你常看新聞嗎?——探討台灣民眾觀看新聞之習慣與問題。 https://crctaiwan.dcat.nycu.edu.tw/ResultsShow_detail.asp?RS_ID=105 吳培聖(2011)。以眼動追蹤法探討電子書文字編排易讀性研究。中國文化大學新聞暨傳播學院資訊傳播學系。 周鈺、王娟、陳憬、李永鋒(2015)。信息載體影響文本閱讀的實證研究。中國遠程教育,21–26。https://doi.org/10.13541/j.cnki.chinade.2015.10.005 國家圖書館(2020)。108年台灣閱讀風貌及全民閱讀力年度報告。 國民健康署(2021年6月2日)。居家防疫狂用眼 Eye眼動起來。https://www.mohw.gov.tw/cp-5017-61163-1.html 孫玉婷(2016)。字色與分欄對英文閱讀影響的眼動研究。校園心理,14(5),344–347。 康珀瑞(2014)平板電腦與紙本閱讀績效之研究——媒體使用及眼動特徵之測量。中國文化大學新聞暨傳播學院資訊傳播學系。 徐立威(2006)。光源、照度、字體大小及行間距對電子紙顯示器的視覺績效與視覺疲勞之影響。國立臺灣科技大學工業管理學系。 李明信(2013)。字體不流暢性於漢字電子書閱讀成效之研究。國立臺灣師範大學圖文傳播學系。 柯慶育(2010)。網頁文字的訊息凸顯方式、字體大小與欄位對學習者閱讀績效及搜尋績效之影響。國立臺北教育大學理學院教育傳播與科技研究所。 程海彧(2015)。字體大小和行距對城市低齡老年人閱讀報紙材料影響的眼動研究。天津師範大學。 葉國棟(2006)。中文字型種類以及字距與行距對國小六年級學童閱讀速度之影響。國立台中教育大學教育測驗統計研究所。 蔡介立(2000)。從眼動控制探討中文閱讀的訊息處理歷程——應用眼動誘發呈現技術之系列研究。國立政治大學心理學系。 蔡介立、顏妙璇、汪勁安(2005)。眼球移動測量及在中文閱讀研究之應用。應用心理研究,28,91–104 |