research-article

Investigating Laboratory and Everyday Typing Performance of Blind Users

Abstract

Over the last decade there have been numerous studies on touchscreen typing by blind people. However, there are no reports about blind users’ everyday typing performance and how it relates to laboratory settings. We conducted a longitudinal study involving five participants to investigate how blind users truly type on their smartphones. For 12 weeks, we collected field data, coupled with eight weekly laboratory sessions. This article provides a thorough analysis of everyday typing data and its relationship with controlled laboratory assessments. We improve state-of-the-art techniques to obtain intent from field data, and provide insights on real-world performance. Our findings show that users improve over time, even though it is at a slow rate. Substitutions are the most common type of error and have a significant impact on entry rates in both field and laboratory settings. Results show that participants are 1.3--2 times faster when typing during everyday tasks. On the other hand, they are less accurate. We finished by deriving some implications that should inform the design of a future virtual keyboard for nonvisual input. Moreover, findings should be of interest to keyboard designers and researchers looking to conduct field studies to understand everyday input performance.

References

  1. Lisa Anthony, YooJin Kim, and Leah Findlater. 2013. Analyzing usergenerated youtube videos to understand touchscreen use by people with motor impairments. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’13). ACM, New York, 1223--1232. http://dx.doi.org/10.1145/2470654.2466158. Google ScholarGoogle ScholarDigital LibraryDigital Library
  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 (GI’12). Canadian Information Processing Society, Toronto, Ont., Canada, 121--129.Google ScholarGoogle Scholar
  3. Matthew N. Bonner, Jeremy T. Brudvik, Gregory D. Abowd, and W. Keith Edwards. 2010. No-look notes: Accessible eyes-free multi-touch text entry. In Proceedings of the 8th International Conference on Pervasive Computing, 409--426. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. Abigail Evans and Jacob Wobbrock. 2012. Taming wild behavior: The input observer for obtaining text entry and mouse pointing measures from everyday computer use. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’12). ACM, New York, 1947--1956. http://doi.acm.org/10.1145/2207676.2208338. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Leah Findlater, Jacob 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, 2453--2462. http://dx.doi.org/10.1145/1978942.1979301. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Leah Findlater and Jacob Wobbrock. 2012. Personalized input: Improving ten-finger touchscreen typing through automatic adaptation. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’12). ACM, New York, 815--824. http://dx.doi.org/10.1145/2207676.2208520. Google ScholarGoogle ScholarDigital LibraryDigital Library
  7. Jon Froehlich, Mike Chen, Sunny Consolvo, Beverly Harrison, and James Landay. 2007. MyExperience: A system for in situ tracing and capturing of user feedback on mobile phones. In Proceedings of the 5th International Conference on Mobile Systems, Applications and Services (MobiSys’07). 57--70. http://dx.doi.org/10.1145/1247660.1247670. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Krzysztof Gajos, Katharina Reinecke, and Charles Herrmann. 2012. Accurate measurements of pointing performance from in situ observations. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’12). ACM, New York, 3157--3166. http://doi.acm.org/10.1145/2207676.2208733. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. João Guerreiro, André Rodrigues, Kyle Montague, Tiago Guerreiro, Hugo Nicolau, and Daniel Gonçalves. 2015. TabLETS Get Physical: Non-visual text entry on tablet devices. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’15), 39--42. http://dx.doi.org/10.1145/2702123.2702373. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Tiago Guerreiro, Paulo Lagoá, Hugo Nicolau, Daniel Gonçalves, and Joaquim A. Jorge. 2008. From tapping to touching: Making touch screens accessible to blind users. IEEE MultiMedia 15, 4 (Oct. 2008), 48--50. Google ScholarGoogle ScholarDigital LibraryDigital Library
  11. Faustina Hwang, Simeon Keates, Patrick Langdon, and John Clarkson. 2004. Mouse movements of motion-impaired users: A submovement analysis. In Proceedings of the 6th International ACM SIGACCESS Conference on Computers and Accessibility, 102--109. http://dx.doi.org/10.1145/1028630.1028649. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Amy Hurst, Jennifer Mankoff, and Scott E. Hudson. 2008. Understanding pointing problems in real world computing environments. In Proceedings of the 10th International ACM SIGACCESS Conference on Computers and Accessibility (Assets’08). ACM, New York, 43--50. http://doi.acm.org/10.1145/1414471.1414481. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Simeon Keates and Shari Trewin. 2005. Effect of age and Parkinson's disease on cursor positioning using a mouse. In Proceedings of the 7th International ACM SIGACCESS Conference on Computers and Accessibility (Assets’05). 68--75. http://dx.doi.org/10.1145/1090785.1090800. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Heidi Koester, Edmund LoPresti, and Richard Simpson. 2005. Toward Goldilocks’ pointing device: Determining a “just right” gain setting for users with physical impairments. In Proceedings of the 7th International ACM SIGACCESS Conference on Computers and Accessibility (Assets’05). ACM, New York, 84--89. http://dx.doi.org/10.1145/1090785.1090802. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Per Ola Kristensson. 2009. Five challenges for intelligent text entry methods. AI Magazine 30, 4 (2009), 85. http://dx.doi.org/10.1609/aimag.v30i4.2269.Google ScholarGoogle ScholarCross RefCross Ref
  16. I. Scott MacKenzie, Tatu Kauppinen, and Miika Silfverberg. 2001. Accuracy measures for evaluating computer pointing devices. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’01). 9--16. http://dx.doi.org/10.1145/365024.365028. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. I. Scott MacKenzie and William Soukoreff. 2002. A character-level error analysis technique for evaluating text entry methods. Proceedings of the 2nd Nordic Conference on Human-Computer Interaction (NordiCHI’02), 243--246. http://dx.doi.org/10.1145/572020.572056. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. I. Scott MacKenzie and William Soukoreff. 2002. Text entry for mobile computing: Models and methods, theory and practice. Human-Computer Interaction 17, 2 (2002), 147--198. Google ScholarGoogle ScholarCross RefCross Ref
  19. I. Scott MacKenzie and William Soujoreff. 2003. Phrase sets for evaluating text entry techniques. CHI’03 Extended Abstracts on Human Factors in Computing. 754--755. http://dx.doi.org/10.1145/765891.765971. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Sergio Mascetti, Cristian Bernareggi, and Matteo Belotti. 2012. TypeInBraille: Quick eyes-free typing on smartphones. In Proceedings of the International Conference on Computers for Handicapped Persons. 615--622. http://dx.doi.org/10.1007/978-3-642-31534-3_90. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Charles E. McCulloch and John M. Neuhaus. 2001. Generalized Linear Mixed Models. Wiley Online Library.Google ScholarGoogle Scholar
  22. Kyle Montague, Hugo Nicolau, and Vicki L. Hanson. 2014. Motor-impaired touchscreen interactions in the wild. In Proceedings of the 16th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS’14). ACM, New York, 123--130. http://doi.acm.org/10.1145/2661334.2661362. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. Kyle Montague, André Rodrigues, Hugo Nicolau, and Tiago Guerreiro. 2015. TinyBlackBox: Supporting mobile in-the-wild studies. In Proceedings of the International ACM SIGACCESS Conference on Computers and Accessibility (Assets’15), 379--380. http://dx.doi.org/10.1145/2700648.2811379. Google ScholarGoogle ScholarDigital LibraryDigital Library
  24. Maia Naftali and Leah Findlater. 2014. Accessibility in context: Understanding the truly mobile experience of smartphone users with motor impairments. In Proceedings of the International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS’14). 209--216. http://dx.doi.org/10.1145/2661334.2661372. Google ScholarGoogle ScholarDigital LibraryDigital Library
  25. Hugo Nicolau and Joaquim Jorge. 2012a. Elderly text-entry performance on touchscreens. In Proceedings of the 14th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS’12). 127--134. http://dx.doi.org/10.1145/2384916.2384939. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Hugo Nicolau and Joaquim Jorge. 2012b. Touch typing using thumbs: Understanding the effect of mobility and hand posture. In Proceedings of the 2012 ACM Annual Conference on Human Factors in Computing Systems (CHI’12), 2683--2686. http://dx.doi.org/10.1145/2207676.2208661. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Hugo Nicolau, Kyle Montague, Tiago Guerreiro, João Guerreiro, and Vicki L. Hanson. 2014. B#: Chord-based correction for multitouch braille input. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’14). ACM, 1705--1708. http://doi.acm.org/10.1145/2556288.2557269. Google ScholarGoogle ScholarDigital LibraryDigital Library
  28. Hugo Nicolau, Kyle Montague, Tiago Guerreiro, André Rodrigues, and Vicki L. Hanson. 2015. Typing performance of blind users: An analysis of touch behaviors, learning effect, and in-situ usage. In Proceedings of the International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS’15). ACM, New York, 273--280. http://dx.doi.org/10.1145/2700648.2809861. Google ScholarGoogle ScholarDigital LibraryDigital Library
  29. 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 Proceedings of the 13th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS’11). ACM, New York, 179--186. http://doi.acm.org/10.1145/2049536.2049569. Google ScholarGoogle ScholarDigital LibraryDigital Library
  30. Phillip T. Pasqual and Jacob Wobbrock. 2014. Mouse pointing endpoint prediction using kinematic template matching. In Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems (CHI’14), 743--752. http://dx.doi.org/10.1145/2556288.2557406. Google ScholarGoogle ScholarDigital LibraryDigital Library
  31. André Rodrigues, Kyle Montague, Hugo Nicolau, and Tiago Guerreiro. 2015. Getting smartphones to talkback: Understanding the smartphone adoption process of blind users. In Proceedings of the International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS’15). ACM, New York, 23--32. http://doi.acm.org/10.1145/2700648.2809842. Google ScholarGoogle ScholarDigital LibraryDigital Library
  32. André Rodrigues, Hugo Nicolau, Kyle Montague, Luís Carriço, and Tiago Guerreiro. 2016. Effect of target size on non-visual text-entry. In Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services (MobileHCI’16). 47--52. Google ScholarGoogle ScholarDigital LibraryDigital Library
  33. William Soukoreff and I. Scott MacKenzie. 2003. Metrics for text entry research: An evaluation of MSD and KSPC, and a new unified error metric. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’03), 113--120. http://dx.doi.org/10.1145/642611.642632. Google ScholarGoogle ScholarDigital LibraryDigital Library
  34. 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, 317--326. http://doi.acm.org/10.1145/2371574.2371623. Google ScholarGoogle ScholarDigital LibraryDigital Library
  35. Hussain Tinwala and I. Scott MacKenzie. 2010. Eyes-free text entry with error correction on touchscreen mobile devices. In Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries (NordiCHI’10), 511--520. http://dx.doi.org/10.1145/1868914.1868972. Google ScholarGoogle ScholarDigital LibraryDigital Library
  36. Shari Trewin. 2004. Automating accessibility: The dynamic keyboard. In Proceedings of the 6th International ACM SIGACCESS Conference on Computers and Accessibility (Assets’04). ACM, New York, 71--78. http://dx.doi.org/10.1145/1028630.1028644. Google ScholarGoogle ScholarDigital LibraryDigital Library
  37. Jacob O. Wobbrock and Brad A. Myers. 2006. Analyzing the input stream for character-level errors in unconstrained text entry evaluations. ACM Transactions on Computer-Human Interactions 13, 4 (December 2006), 458--489. http://doi.acm.org/10.1145/1188816.1188819.Google ScholarGoogle ScholarDigital LibraryDigital Library
  38. Jacob O. Wobbrock. 2007. Measures of text entry performance. In Text Entry Systems, MacKenzie and Tanaka-Ishii (Eds.). Morgan Kaufmann, San Francisco. 47--74. Google ScholarGoogle ScholarCross RefCross Ref
  39. Jacob Wobbrock, James Fogarty, Shih-Yen Liu, Shunichi Kimuro, and Susumo Harada. 2009. The angle mouse: Target-agnostic dynamic gain adjustment based on angular deviation. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’09), 1401--1410. http://dx.doi.org/10.1145/1518701.1518912. Google ScholarGoogle ScholarDigital LibraryDigital Library
  40. Jacob O. Wobbrock, Leah Findlater, Darren Gergle, and James J. Higgins. 2011. The aligned rank transform for nonparametric factorial analyses using only anova procedures. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI’11). ACM, New York, 143--146. http://doi.acm.org/10.1145/1978942.1978963. Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. Georgios Yfantidis and Grigori Evreinov. 2006. Adaptive blind interaction technique for touchscreens. Universal Access in the Information Society 4, 4 (2006), 328--337. http://dx.doi.org/10.1007/s10209-004-0109-7. Google ScholarGoogle ScholarDigital LibraryDigital Library

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