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Effects of User Age on Smartphone and Tablet Use, Measured with an Eye-Tracker via Fixation Duration, Scan-Path Duration, and Saccades Proportion

  • Suleyman Al-Showarah
  • Naseer AL-Jawad
  • Harin Sellahewa
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8514)

Abstract

The design of user interfaces plays an important role in human computer interaction, especially for smartphones and tablet devices. It is very important to consider the interface design of smartphones for elderly people in order for them to benefit from the variety applications on such devices. The aim of this study is to investigate the effects of user age as well as screen size on smartphone/tablet use. We evaluated the usability of smartphone interfaces for three different age groups: elderly age group (60+ years), middle age group (40-59 years) and younger age group (20-39 years). The evaluation is performed using three different screen sizes of smartphone and tablet devices: 3.2”, 7”, and 10.1” respectively. An eye-tracker device was employed to obtain three metrics: fixation duration, scan-path duration, and saccades amplitude. Two hypothesis were considered. First, elderly users will have both local and global processing diffieculties on smartphone/tablet use than other age groups. Second, all user age groups will be influnced by screen sizes; small screen size will have smaller saccades proportion indicating uneasy interface broswing compared to large screen size. All these results have been statistically evaluated using 2-way ANOVA.

Keywords

Smartphone interfaces elderly people eye tracking mobile computing human computer interaction interfaces evaluation usability of smart phone 

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References

  1. 1.
    Al-Showarah, S., Al-Jawad, N., Sellahewa, H.: Examining eye-tracker scan paths for elderly people using smart phones, York Doctoral Symbosium (YDS), the paper has been published as a York Computer Science technical report. University of York, UK (2013)Google Scholar
  2. 2.
    Al-Wabil, A.: The Effect of Dyslexia on Web Navigation, City University London, UK (2009)Google Scholar
  3. 3.
    Andrienko, G., Andrienko, N., Burch, M., Weiskopf, D.: Visual Analytics Methodology for Eye Movement Studies. IEEE Transactions on Visualization and Computer Graphics 18(12), 2889–2898 (2012)CrossRefGoogle Scholar
  4. 4.
    Balakrishnan, S., Salim, S., Hong, J.L.: User Centered Design Approach for Elderly People in Using Website, pp. 382–387 (2012)Google Scholar
  5. 5.
    Broder, A.: A taxonomy of web search, pp. 3–10 (2002)Google Scholar
  6. 6.
    Caprani, N., O’Connor, N.E., Gurrin, C.: Touch screens for the older user (2012)Google Scholar
  7. 7.
    Stößel, C., Wandke, H., Blessing, L.: Gestural interfaces for elderly users: Help or hindrance? In: Kopp, S., Wachsmuth, I. (eds.) GW 2009. LNCS, vol. 5934, pp. 269–280. Springer, Heidelberg (2010)CrossRefGoogle Scholar
  8. 8.
    Cooke, L.: Is Eye Tracking the Next Step in Usability Testing? p. 7. IEEE (2006) 0-7803-9778-9/06/$20.00Google Scholar
  9. 9.
    Dongfang, Z., Qiang, S.: A discussion based on a design of cell phones usability by the elderly in China, pp. 1385–1389 (2009)Google Scholar
  10. 10.
    Findlater, L., et al.: Age-related differences in performance with touchscreens compared to traditional mouse input, pp. 343–346 (2013)Google Scholar
  11. 11.
    Fukuda, R., Bubb, H.: Eye tracking study on Web-use: Comparison between younger and elderly users in case of search task with electronic timetable service, p. 27 (December 2010)Google Scholar
  12. 12.
    Goldberg, J.H., et al.: Eye tracking in web search tasks: design implications, pp. 51–58 (2002)Google Scholar
  13. 13.
    Iwase, H., Murata, A.: Comparison of mouse performance between young and elderly - basic study for designing mouse proper for elderly, pp. 246–251 (2002)Google Scholar
  14. 14.
    Jacob, R.J.: Eye Tracking in Advanced Interface Design, p. 53 (2006)Google Scholar
  15. 15.
    Kim, H.-J., Heo, J., Shim, J., Kim, M.-Y., Park, S., Park, S.-H.: Contextual Research on Elderly Users’ Needs for Developing Universal Design Mobile Phone. In: Stephanidis, C. (ed.) HCI 2007. LNCS, vol. 4554, pp. 950–959. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  16. 16.
    Miyoshi, T., Murata, A.: Usability of input device using eye tracker on button size, distance between targets and direction of movement, vol.1, pp. 227–232 (2001)Google Scholar
  17. 17.
    Nettleton, D., Gonzalez-Caro, C.: Analysis of User Behavior for Web Search Success Using Eye Tracker Data, pp. 57–63 (2012)Google Scholar
  18. 18.
    Organization, W.H., et al.: Definition of an older or elderly person. Health statistics and health information systems (2010), http://www.who.int/healthinfo/survey/ageingdefnolder/en/index.html (accessed June 21, 2012)
  19. 19.
    Poole, A., Ball, L.J.: Eye Tracking in Human-Computer Interaction and Usability Research: Current Status and Future Prospects (2004)Google Scholar
  20. 20.
    Rayner, K.: Eye movements in reading and information processing: 20 years of research. Psychological bulletin 124(3), 372 (1998)CrossRefGoogle Scholar
  21. 21.
    Rogers, W.A., Fisk, A.D., McLaughlin, A.C., Pak, R.: Touch a screen or turn a knob: Choosing the best device for the job. Human Factors: The Journal of the Human Factors and Ergonomics Society 47(2), 271–288 (2005)CrossRefGoogle Scholar
  22. 22.
    SR_Research.Ltd., EyeLink? 1000 Installation Guide Tower, Desktop, LCD Arm, Primate, and Long Range Mounts Remote, Hz and Fiber Optic Camera Upgrades (2010)Google Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Suleyman Al-Showarah
    • 1
  • Naseer AL-Jawad
    • 1
  • Harin Sellahewa
    • 1
  1. 1.Applied Computing DepartmentThe University of BuckinghamBuckinghamUK

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