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Effect of target size on non-visual text-entry

ABSTRACT

Touch-enabled devices have a growing variety of screen sizes; however, there is little knowledge on the effect of key size on non-visual text-entry performance. We conducted a user study with 12 blind participants to investigate how non-visual input performance varies with four QWERTY keyboard sizes (ranging from 15mm to 2.5mm). This paper presents an analysis of typing performance and touch behaviors discussing its implications for future research. Our findings show that there is an upper limit to the benefits of larger target sizes between 10mm and 15mm. Input speed decreases from 4.5 to 2.4 words per minute (WPM) for targets sizes below 10mm. The smallest size was deemed unusable by participants even though performance was in par with previous work.

References

  1. Apple. iOS Accessibility. Retrieved September, 21, 2015 from http://www.apple.com/accessibility/ios/voiceover/Google ScholarGoogle Scholar
  2. Shiri Azenkot, Jacob O. Wobbrock, Sanjana Prasain, and Richard E. Ladner. 2012. Input finger detection for nonvisual touch screen text entry in Perkinput. In Proceedings of Graphics Interface 2012 (GI '12). Canadian Information Processing Society, Toronto, Ont., Canada, Canada, 121--129. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Olive J. Dunn. 1964. Multiple Comparisons Using Rank Sums. In Technometrics, 6, 241--252.Google ScholarGoogle ScholarCross RefCross Ref
  4. Leah Findlater, Jacob O. Wobbrock, and Daniel Wigdor. 2011. Typing on flat glass: examining ten-finger expert typing patterns on touch surfaces. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '11). ACM, New York, NY, USA, 2453--2462. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Google. Google Android Accessibility Help. Retrieved September 21, 2015, from https://support.google.com/talkback/Google ScholarGoogle Scholar
  6. João Guerreiro, André Rodrigues, Kyle Montague, Tiago Guerreiro, Hugo Nicolau, and Daniel Gonçalves. 2015. TabLETS Get Physical: Non-Visual Text Entry on Tablet Devices. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). ACM, New York, NY, USA Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Niels Henze, Enrico Rukzio, and Susanne Boll. 2011. 100,000,000 taps: analysis and improvement of touch performance in the large. In Proceedings of the 13th International Conference on Human Computer Interaction with Mobile Devices and Services (MobileHCI '11). ACM, New York, NY, USA Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Christian Holz and Patrick Baudisch. 2010. The generalized perceived input point model and how to double touch accuracy by extracting fingerprints. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '10). ACM, New York, NY, USA, 581--590. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Shaun K. Kane, Jeffrey P. Bigham, and Jacob O. Wobbrock. 2008. Slide rule: making mobile touch screens accessible to blind people using multi-touch interaction techniques. In Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility (Assets '08). ACM, New York, NY, USA, 73--80. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Seungyon Lee and Shumin Zhai. 2009. The performance of touch screen soft buttons. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '09). ACM, New York, NY, USA, 309--318. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Luis A. Leiva, Alireza Sahami, Alejandro Catala, Niels Henze, and Albrecht Schmidt. 2015. Text Entry on Tiny QWERTY Soft Keyboards. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). ACM, New York, NY, USA, 669--678. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. I. Scott MacKenzie and R. William Soukoreff. 2003. Phrase sets for evaluating text entry techniques. In CHI '03 Extended Abstracts on Human Factors in Computing Systems (CHI EA '03). ACM, New York, NY, USA, 754--755. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Hugo Nicolau, Kyle Montague, Tiago Guerreiro, André Rodrigues, Vicki L. Hanson. 2015. Typing Performance of Blind Users: An Analysis of Touch Behaviors, Learning Effect, and In-Situ Usage. In Proceedings of the 17th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '15). Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. João Oliveira, Tiago Guerreiro, Hugo Nicolau, Joaquim Jorge, and Daniel Gonçalves. 2011. Blind people and mobile touch-based text-entry: acknowledging the need for different flavors. In The proceedings of the 13th international ACM SIGACCESS conference on Computers and accessibility (ASSETS '11). ACM, New York, NY, USA, 179--186. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Pekka Parhi, Amy K. Karlson, and Benjamin B. Bederson. 2006. Target size study for one-handed thumb use on small touchscreen devices. In Proceedings of the 8th conference on Human-computer interaction with mobile devices and services (MobileHCI '06). ACM, New York, NY, USA Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Caleb Southern, James Clawson, Brian Frey, Gregory Abowd, and Mario Romero. 2012. An evaluation of BrailleTouch: mobile touchscreen text entry for the visually impaired. In Proceedings of the 14th international conference on Human-computer interaction with mobile devices and services (MobileHCI '12). ACM, New York, NY, USA, 317--326. http://doi.acm.org/10.1145/2371574.2371623 Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Keith Vertanen, Haythem Memmi, Justin Emge, Shyam Reyal, and Per Ola Kristensson. 2015. VelociTap: Investigating Fast Mobile Text Entry using Sentence-Based Decoding of Touchscreen Keyboard Input. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). ACM, New York, NY, USA, 659--668. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Jacob O. Wobbrock and Brad A. Myers. 2006. Analyzing the input stream for character- level errors in unconstrained text entry evaluations. ACM Trans. Comput.-Hum. Interact. 13, 4 (December 2006) Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Jacob O. Wobbrock. 2007. Measures of text entry performance. In Text Entry Systems, MacKenzie and Tanaka-Ishii (eds.). San Francisco: Morgan KaufmannGoogle ScholarGoogle Scholar

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  1. Effect of target size on non-visual text-entry

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