The main purpose of this study was to investigate the effects and interactions of line length, line number, and line spacing on Chinese screen-based proofreading performance and amount of scrolling.
Background:
Proofreading is an important process, and much of it is now done on screen. The Chinese language is increasingly important, but very little work has been done on the factors that affect proofreading performance for Chinese passages.
Method:
Three display factors related to screen size, namely line length, line number, and line spacing, were selected to be investigated in an experiment to determine their effects on proofreading performance and amount of scrolling. Correlations between proofreading performance in time and accuracy and scrolling amount were also analyzed.
Results:
The results showed that line number and line spacing had significant main and interaction effects on both proofreading time and detection rate. Line length and line number influenced scrolling amount significantly, but there was no interaction effect for scrolling. Scrolling amount was negatively correlated with proofreading time and typo detection rate such that more scrolling movement was associated with faster proofreading, but lower detection rate. There was a trade-off between time and accuracy.
Conclusion:
For balancing time and detection rate and improving performance for on-screen Chinese proofreading, the display setting of medium line length (36 characters per line) with four lines and 1.5 line spacing should be used.
Application:
The findings provide information and recommendations for display factors and the screen design that should prove useful for improving proofreading time and accuracy.
BellS. M.MillerK. C.McCallumR. S.HopkinsM.Hilton-PrillhartA. (2012). Unique screener of reading fluency and comprehension for adolescents and adults. Psychology, 3, 45–48.
4.
BernardM. L.ChaparroB. S.MillsM. M.HalcombC. G. (2003). Comparing the effects of text size and format on the readability of computer-displayed Times New Roman and Arial text. International Journal of Human-Computer Studies, 59, 823–835.
5.
BraganzaC.MarriottK.MoulderP.WybrowM.DwyerT. (2009). Scrolling behavior with single- and multi-column layout. In Proceedings of the 18th International Conference on the World Wide Web (pp. 831–840). New York, NY: Association for Computing Machinery.
6.
ChanA. H. S.LeeP. S. K. (2005a). Effect of display factors on Chinese reading times, comprehension scores and preferences. Behaviour & Information Technology, 24, 81–91.
7.
ChanA. H. S.LeeP. S. K. (2005b). Effects of different task factors on speed and preferences in Chinese handwriting. Ergonomics, 48, 38–54.
8.
ChanA. H. S.LeeP. S. K. (2005c). Intelligibility and preferred rate of Chinese speaking. International Journal of Industrial Ergonomics, 35, 217–228.
9.
ChanA. H. S.NgA. W. Y. (2012). Effects of display factors on Chinese proofreading performance and preferences. Ergonomics, 55, 1315–1330.
10.
ChanA. H. S.SoJ. C. Y. (2009). Task factor usability ratings for different age groups writing Chinese. Ergonomics, 52, 1372–1385.
11.
ChiC. F.CaiD.YouM. (2003). Applying image descriptors to the assessment of legibility in Chinese characters. Ergonomics, 46, 825–841.
12.
ChungS. T. L. (2004). Reading speed benefits from increased vertical word spacing in normal peripheral vision. Optometry and Vision Science, 81, 525–535.
13.
ClineD.HofstetterH. W.GriffinJ. R. (1997). Dictionary of visual science (4th ed.). Boston, MA: Butterworth-Heinemann.
14.
DavidovA. (2002). Computer screens are not like paper: Typography on the web. In SassoonR. (Ed.), Computers and typography (Vol. 2, pp. 21–40). Bristol, UK: Intellect Books.
15.
De BruijnD.de MulS.van OostendorpH. (1992). The influence of screen size and text layout on the study of text. Behaviour & Information Technology, 11, 71–78.
16.
DuchnickyR. L.KolersP. A. (1983). Readability of text scrolled on visual display terminals as a function of window size. Human Factors, 25, 683–692.
17.
DysonM. C. (2004). How physical text layout affects reading from screen. Behaviour & Information Technology, 23, 377–393.
18.
DysonM. C.HaselgroveM. (2001). The influence of reading speed and line length on the effectiveness of reading from screen. International Journal of Human-Computer Studies, 54, 585–612.
19.
DysonM. C.KippingG. J. (1998). The effects of line length and method of movement on patterns of reading from screen. Visible Language, 32, 150–181.
20.
ElkertonJ.WilligesR. (1984). Information retrieval strategies in a file search environment. Human Factors, 26, 171–184.
21.
GanayimD.IbrahimR. (2012). How do typographical factors affect reading text and comprehension performance in Arabic?Human Factors, 55, 323–332.
22.
HeydariP.RiaziA. M. (2012). Readability of texts: Human evaluation versus computer index. Mediterranean Journal of Social Sciences, 3, 177–190.
23.
HoffmanJ. D.LeeJ. D.McGeheeD. V. (2006). Dynamic display of in-vehicle test messages: The impact of varying line length and scrolling rate. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting (pp. 574–578). Santa Monica, CA: Human Factors and Ergonomics Society.
24.
HsiehY. H.LinC. J.ChenH. C.HuangT. T.ChenJ. C. (2007). Reading performance of Chinese text with automatic scrolling. In JackoJ. (Ed.), Human-computer interaction, part II: HCII 2007, LNCS 4551 (pp. 311–319). Berlin, Germany: Springer-Verlag.
25.
HuangD.RauP. L. P.LiuY. (2009). Readability of Chinese fonts on mobile devices. International Journal of Industrial Ergonomics, 39, 81–89.
26.
KolersP. A.DuchnickyR. L.FegusonD. C. (1981). Eye movement measurement of readability of CRT displays. Human Factors, 23, 517–527.
27.
KongY. K.LeeI.JungM. C.SongY. W. (2011). The effects of age, viewing distance, display type, font type, colour contrast and number of syllables on the legibility of Korean characters. Ergonomics, 54, 453–465.
28.
KrukR. S.MuterP. (1984). Reading of continuous text on video screens. Human Factors, 26, 339–345.
29.
LaiC. J. (2008). An ergonomic study of Chinese font and color display on variable message signs. Journal of the Chinese Institute of Industrial Engineers, 25, 306–331.
30.
LeeP. S. K.ChanA. H. S. (2003). Chinese speaking times. International Journal of Industrial Ergonomics, 31, 313–321.
31.
LiB.ZhangW.ZhouR.YangC.LiZ. (2012). A comparative ergonomics study: Performing reading-based tasks on a large-scale tabletop vs. laptop. International Journal of Industrial Ergonomics, 42, 156–161.
32.
LinH.WuF. G.ChengY. Y. (2013). Legibility and visual fatigue affected by text direction, screen size and character size on color LCD e-reader. Displays, 34, 49–58.
33.
LinY. T.LinP. H.HwangS. L.JengS. C.LiaoC. (2009). Investigation of legibility and visual fatigue for simulated flexible electronic paper under various surface treatments and ambient illumination conditions. Applied Ergonomics, 40, 922–928.
34.
LingJ.van SchaikP. (2006). The influence of font type and line length on visual search and information retrieval in web pages. International Journal of Human-Computer Studies, 64, 395–404.
35.
LingJ.van SchaikP. (2007). The influence of line spacing and text alignment on visual search of web pages. Displays, 28, 60–67.
36.
LiuZ.HuangX. (2008). Gender differences in the online reading environment. Journal of Documentation, 64, 616–626.
37.
LuaK. T. (1990). From character to word—An application of information theory. Computer Processing of Chinese & Oriental Languages, 4, 304–313.
38.
MaR. C. W.ChanA. H. S.CourtneyA. J. (2004). Effect of nonlinear magnification on peripheral target detection performance. International Journal of industrial Ergonomics, 33, 473–487.
39.
MarcialL.HemmingerB. (2011, October). Scrolling and pagination for within document searching: The impact of screen size and interaction style. Paper presented at ASIST 2011, New Orleans, LA.
MuterP.MauruttoP. (1991). Reading and skimming from computer screens and books: The paperless office revisited?Behaviour & Information Technology, 10, 257–266.
42.
NealA.DarnellM. (1984). Text editing performance with partial line, partial page and full page displays. Human Factors, 26, 431–441.
43.
NewbyG. B.FranksC. (2003). Distributed proofreading. In Proceedings of the 3rd ACM/IEEE-CS Joint Conference on Digital Libraries (pp. 361–363). Washington, DC: IEEE Computer Society.
44.
O’HaraK.SnellenA. (1997). A comparison of reading paper and on-line documents. In PembertonS. (Ed.), CHI 97 Conference: Human Factors in Computing Systems (pp. 335–342). Reading, MA: Addison-Wesley.
RichardsonJ.DillonA.McKnightC. (1989). The effect of window size on reading and manipulating electronic text. In MegawE. (Ed.), Contemporary ergonomics (pp. 474–479). London, UK: Taylor & Francis.
SanchezC. A.WileyJ. W. (2009). To scroll or not to scroll: Scrolling, working memory capacity, and comprehending complex texts. Human Factors, 51, 730–738.
49.
ShaikhA. D.ChaparroB. S. (2004). A survey of online reading habits of Internet users. In Proceedings of the Human Factor and Ergonomics Society 48th Annual Meeting (pp. 875–879). Santa Monica, CA: Human Factors and Ergonomics Society.
50.
ShaikhA. D.ChaparroB. S. (2005, April). The effect of line length and passage type on reading speed, comprehension, and user satisfaction. Paper presented at the 1st Annual Symposium on Graduate Research and Scholarly Projects, Wichita, KS.
51.
SheedyJ. E.SubbaramM. V.ZimmermanA. B.HayesJ. R. (2005). Text legibility and the letter superiority effect. Human Factors, 47, 797–815.
52.
ShenI. H.ShiehK. K.ChaoC. Y.LeeD. S. (2009). Lighting, font style, and polarity on visual performance and visual fatigue with electronic paper displays. Displays, 30, 53–58.
53.
ShihH. M.GoonetillekeR. S. (1998). Effectiveness of menu orientation in Chinese. Human Factors, 40, 569–576.
SmithP. (1993). Mark my words: Instruction & practice in proofreading. Alexandria, VA: EEI Press.
56.
SoJ. C. Y.ChanA. H. S. (in press). Effects of display method, number of message lines, and text colour on Chinese comprehension and subjective preferences for an LED display. Journal of the Society for Information Display.
57.
SunF. C.MoritaM.StarkL. W. (1985). Comparative patterns of reading eye movement in Chinese and English. Perception & Psychophysics, 37, 502–506.
58.
TakiS.SoleimaniG. H. (2012). Online reading strategy use and gender differences: The case of Iranian EFL learners. Mediterranean Journal of Social Sciences, 3, 173–184.
59.
WuH. C. (2011). Electronic paper display preferred viewing distance and character size for different age groups. Ergonomics, 54, 806–814.
60.
YangJ. (2007, March). Approaching pre-modern China through the computer: The benefits and risks of using electronic resources in Sinological research. Paper presented at the Annual Meeting of the Association for Asian Studies, Boston, MA.
61.
YauY. J.ChaoC. J.HwangS. L. (2008). Optimization of Chinese interface design in motion environments. Displays, 29, 308–315.
62.
ZhangX. M.ZhangH. S.BinY.ZhangD. F.ZhouR. (2008). Reading efficiency of Chinese text scrolling style and presentation style on computer interface. In Proceedings of the First International Workshop on Knowledge Discovery and Data Mining (pp. 131–135). Adelaide, Australia: IEEE Computer Society.
63.
ZhaoZ.RauP. R. L.YangA. (2005). Enhancing hearing of computer commands for the aging Chinese population by filtering the initial consonant sounds. International Journal of Industrial Ergonomics, 35, 1133–1145.
64.
Zhonghua da zidian. (1978). Beijing, China: Chung Hwa.
