Analysis of Skim Reading on Desktop versus Mobile Screen
Source abstract
Abstract
Web readers usually skim through the text to keep up with the amount of available content. The effectiveness of skim reading is ensured by keeping the focus on the meaningful part of the text rather than the less meaningful part. To assure if the skim reading shows efficient results for a particular screen resolution, this research presents variations in the memory of significant data when a text is read on a mobile screen or a desktop screen. Moreover, the study aims to understand the knowledge gained from the text at a given time. In total, sixty participants contributed to the study and it is found that, relative to reading the text on a mobile screen, skimming showed improved memory for the ideas defined in the text on a computer screen. A software prototype is developed in this research study to analyze the impact of skim reading on a desktop computer screen versus a mobile device screen. The findings of the study have been interpreted as evidence in support of a skimming process called satisficing.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Library Collection Development and Digital Resources · Technology Adoption and User Behaviour · Personal Information Management and User Behavior
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Computer Science and Information Systems, Najran University, Najran 61441, Saudi Arabia
Department of Computer Science, University of Bath, The Quads, Claverton Down, Bath BA2 7PJ, UK
Department of Software Engineering, Mehran University of Engineering & Technology, Jamshoro 76062, Pakistan
Funding
Najran University
References (57)
Show source-provided references
1. Banditvilai, C. (2020). The effectiveness of reading strategies on reading comprehension. Int. J. Soc. Sci. Humanit., 46.10.18178/ijssh.2020.V10.1012 ↗
2. Chi, E.H., Hong, L., Gumbrecht, M., and Card, S.K. (2005, January 10–13). ScentHighlights: Highlighting conceptually-related sentences during reading. Proceedings of the 10th International Conference on Intelligent User Interfaces, San Diego, CA, USA.10.1145/1040830.1040895 ↗
3. Duggan, G.B., and Payne, S.J. (2011, January 7–12). Skim reading by satisficing: Evidence from eye tracking. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Vancouver, BC, Canada.10.1145/1978942.1979114 ↗
4. Dyson, M.C. (2005). How do we read text on screen. Creation, Use, and Deployment of Digital Information, Lawrence Erlbaum Associates Publishers.
5. Allocating time across multiple texts: Sampling and satisficing
6. Yu, A.W., Lee, H., and Le, Q.V. (2017). Learning to skim text. arXiv.10.18653/v1/P17-1172 ↗
7. The influence of reading speed and line length on the effectiveness of reading from screen10.1006/ijhc.2001.0458 ↗
8. Horton, W., Taylor, L., Ignacio, A., and Hoft, N.L. (1995). The Web Page Design Cookbook: All the Ingredients you Need to Create 5-Star Web Pages, John Wiley & Sons, Inc.
9. Exploring the online reading comprehension strategies used by sixth-grade skilled readers to search for and locate information on the Internet10.1598/RRQ.42.2.2 ↗
10. Strategies for Internet reading with different reading purposes: A descriptive study of twelve good Internet readers10.1080/10862960802070491 ↗
11. Research on Learners’ Preferences for Reading from a Printed Text or from a Computer Screen
12. A comparison of reading comprehension across paper, computer screens, and tablets: Does tablet familiarity matter?10.1007/s40692-014-0012-z ↗
13. Computer supported reading vs reading text on paper: A comparison of two reading situations10.1016/S0020-7373(85)80048-1 ↗
14. m-Reading: Fiction reading from mobile phones10.1177/1354856518770987 ↗
15. Yu, C.H. (2012). Web Page Enhancement on Desktop and Mobile Browsers. [Ph.D. Thesis, Massachusetts Institute of Technology].
16. Yu, C.H., and Miller, R.C. (2012). Enhancing Web Page Skimmability. CHI ’12 Extended Abstracts on Human Factors in Computing Systems, Association for Computing Machinery.10.1145/2212776.2223852 ↗
17. The perceptual span and peripheral cues in reading10.1016/0010-0285(75)90005-5 ↗
18. Preliminary investigation of skimming in reading10.1037/h0073184 ↗
19. Shudong, W., and Higgins, M. (2005, January 28–30). Limitations of mobile phone learning. Proceedings of the IEEE International Workshop on Wireless and Mobile Technologies in Education (WMTE’05), Tokushima, Japan.
20. Improving Web interaction on small displays10.1016/S1389-1286(99)00013-4 ↗
21. Shrestha, S. (2007, January 10–12). Mobile web browsing: Usability study. Proceedings of the 4th International Conference on Mobile Technology, Applications, and Systems and the 1st International Symposium on Computer Human Interaction in Mobile Technology, Singapore.10.1145/1378063.1378094 ↗
22. Field, A. (2013). Discovering Statistics Using IBM SPSS Statistics, Sage Publications Ltd.
23. Schmiedl, G., Seidl, M., and Temper, K. (2007, January 15–18). Mobile phone web browsing: A study on usage and usability of the mobile web. Proceedings of the 11th International Conference on Human-Computer interaction with Mobile Devices and Services, Bonn, Germany.
24. Tablet vs. paper: The effect on learners’ reading performance
25. Fitchett, S., and Cockburn, A. (2009, January 23–27). Evaluating reading and analysis tasks on mobile devices: A case study of tilt and flick scrolling. Proceedings of the 21st Annual Conference of the Australian Computer-Human Interaction Special Interest Group: Design: Open 24/7, Melbourne, Australia.10.1145/1738826.1738863 ↗
26. So much to read, so little time: How do we read, and can speed reading help?10.1177/1529100615623267 ↗
27. Lam, H., and Baudisch, P. (2005, January 2–7). Summary thumbnails: Readable overviews for small screen web browsers. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Portland, OR, USA.10.1145/1054972.1055066 ↗
28. Effect of dynamic display and speed of display movement on reading Chinese text presented on a small screen10.2466/pms.100.3.865-873 ↗
29. The effect of mobile phone screen size on video based learning10.4304/jsw.3.4.51-61 ↗
30. Leiva, L.A. (2018, January 3–6). Responsive snippets: Adaptive skim-reading for mobile devices. Proceedings of the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, Barcelona, Spain.10.1145/3236112.3236159 ↗
31. Teaching of skimming at tertiary level: Theoretical and pedagogical issues10.12785/ijbmte/010101 ↗
32. Improving reading skills through skimming and scanning techniques at a public school: Action research
33. Fitzsimmons, G., Weal, M., and Drieghe, D. (2014, January 23–26). Skim Reading: An Adaptive Strategy for Reading on the Web. Proceedings of the WebSci ’14: 2014 ACM Conference onWeb Science, Bloomington, IN, USA.10.1145/2615569.2615682 ↗
34. Nielsen, J. (2021, June 11). “F-Shaped Pattern For Reading Web Content,” Jakob Nielsen’s Alertbox. Available online: http://www.useit.com/alertbox/reading_pattern.html.
35. Text skimming: The process and effectiveness of foraging through text under time pressure10.1037/a0016995 ↗
36. Do mobile technologies reshape speaking, writing, or reading?10.1177/2050157912459739 ↗
37. Hillesund, T. (2010). Digital Reading Spaces: How Expert Readers Handle Books, the Web and Electronic Paper, University of Illinois at Chicago Library.10.5210/fm.v15i4.2762 ↗
38. Electronic versus traditional print textbooks: A comparison study on the influence of university students’ learning10.1016/j.compedu.2012.11.022 ↗
39. Marshall, C.C., and Ruotolo, C. (2002, January 14–18). Reading-in-the-small: A study of reading on small form factor devices. Proceedings of the 2nd ACM/IEEE-CS Joint Conference on Digital Libraries, Portland, OR, USA.10.1145/544220.544230 ↗
40. The effects of display size and text splitting on reading lengthy text from screen10.1080/01449299008924238 ↗
41. The influence of screen size and text layout on the study of text10.1080/01449299208924322 ↗
42. Readability of text scrolled on visual display terminals as a function of window size10.1177/001872088302500605 ↗
43. Computerized presentation of text: Effects on children’s reading of informational material10.1007/s11145-003-8128-y ↗
44. Lee, B., Savisaari, O., and Oulasvirta, A. (2016, January 7–12). Spotlights: Attention-optimized highlights for skim reading. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, San Jose, CA, USA.10.1145/2858036.2858299 ↗
45. The impact of paging vs. scrolling on reading online text passages
46. Conceptual processing of text during skimming and rapid sequential reading10.3758/BF03196973 ↗
47. Skills, A.A. (2020, February 12). Effective Reading Techniques. Available online: https://studyhub.fxplus.ac.uk/study-guides/reading-lectures/effective-reading-techniques.
48. Scotsman, T. (2020, February 12). Reading Techniques: Skimming. Available online: https://www.open.edu/openlearn/society-politics-law/sociology/reading-and-note-taking-preparation-study/content-section-3.2.
49. Azar, B. (2020, February 12). Sink or Skim?. Available online: https://www.apa.org/gradpsych/2010/11/skim.
50. On the meaningfulness of big data quality10.1007/s41019-015-0004-7 ↗
51. MacKenzie, I.S. (2012). Human-Computer Interaction: An Empirical Research Perspective, Elsevier.
52. The application of signal detection theory to acceptability judgments10.3389/fpsyg.2020.00073 ↗
53. Modulation of the word frequency effect in recognition memory after an unrelated lexical decision task10.1016/j.jml.2019.05.004 ↗
54. Macmillan, C. (2020, February 12). Online Detection Theory Calculator. Available online: https://www.computerpsych.com/Research_Software/NormDist/Online/Detection_Theory.
55. The validity of d prime as a working memory index: Results from the “Bergen n-back task”10.1080/13803391003596421 ↗
56. Abdi, H. (2007). Signal detection theory (SDT). Encyclopedia of Measurement and Statistics, SAGE Publications, Inc.
57. (2021, July 17). Elvers.us. Available online: http://elvers.us/perception/sdtCalculator/.