Soumalya Ghosh and Debasis Samanta
[1] S. Zhai, M. Hunter, and B.A. Smith, The metropolis keyboard – An exploration of quantitative techniques for virtual keyboard design, Symp. on User Interface Software and Technology (San Diego, USA: ACM, 2000), 119–128. [2] R.W. Soukoreff and I.S. MacKenzie, Theoretical upper and lower bounds on typing speed using a stylus and soft keyboard, Behaviour and Information Technology, 14, 1995, 370–379. [3] D.J. Ward, A.F. Blackwell, and D.J.C. MacKay, Dasher –A data entry interface using continuous gestures and language models, Proc. of the 13th Annual ACM Symposium on User Interface Software and Technology (San Diego, USA: ACM, 2000), 129–137. [4] S. Zhai, M. Hunter, and B.A. Smith, Performance optimization of virtual keyboards, Human–Computer Interaction, 17, 2002, 229–269. [5] H.S. Venkatagiri, Effect of window size on rate of communication in a lexical prediction AAC system, Augmentative and Alternative Communication, 10(2), 1994, 105–112. [6] S. Ghosh, S. Sarcar, and D. Samanta, Designing an efficient virtual keyboard for text composition in Bengali, 3rd Int. Conf. on Human Computer Interaction (India HCI) (Bangalore, India: ACM, 2011). [7] D. Samanta, S. Sarcar, and S. Ghosh, An approach to design virtual keyboards for text composition in Indian languages, International Journal of Human Computer Interaction, 29(8), 2013, 516–540. [8] W.T. White, Typing for accuracy (Bultimore, USA: H.M.Rowe Company, 1945). [9] A. Dvorak, N.L. Merrick, W.L. Dealey, and G.C. Ford, Type-writing behaviour (Georgia, USA: American Book Company, 1936). [10] P.F. MacNeilage, Typing errors as clues to serial ordering mechanisms in language behaviour, Language and Speech, 7(3), 1964, 1144–1159. [11] D.R. Gentner, J.T. Grudin, S. Larochelle, D.A. Norman, and D.E. Rumelhart, A glossary of terms including a classification of typing errors, Cognitive aspects of skilled typewriting (NY, USA: Springer Verlag, 1983), 39–43. [12] A. Kano, J.C. Read, A. Dix, and I.S. MacKenzie, Expect: An expanded error categorisation method for text input, HCI (Lancaster, UK: ACM, 2007), 147–156. [13] T. Chen, Y. Yesilada, and S. Harper, What input errors do you experience? Typing and pointing errors of mobile web users, International Journal of Human-Computer Studies, 68(3), 2010, 138–157. [14] S. Trewin, Automating accessibility: The dynamic keyboard, Proc. of the 6th Int. ACM SIGACCESS Conference on Computers and Accessibility (Atlanta, USA: ACM, 2004), 71–78. [15] S. Kane, J. Wobbrock, M. Harniss, and K. Johnson, TrueKeys: Identifying and correcting typing errors for people with motor impairments, Proceedings of the 13th International Conference on Intelligent User Interfaces (Island of Madeira, Portugal: ACM, 2008), 349–352. [16] K.Z. Gajos, J.O. Wobbrock, and D.S. Weld, Improving the performance of motor – Impaired users with automatically-generated, ability-based interfaces, Proc. of CHI, Florence, Italy, 2008, 1257–1266. [17] T.A. Salthouse, Perceptual, cognitive, and motoric aspects of transcription typing, Psychological Bulletin, 99(3), 1986, 309–319. [18] P.K. Saha, D. Samanta, S. Sarcar, and M.K. Sharma, Analysis of visual search features, International Journal of Human Factors Modelling and Simulation, 3(1), 2012, 66–89. [19] Y.L. Lin, M.C. Chen, Y.P. Wu, Y.M. Yeh, and H.P. Wang, A flexible on-screen keyboard: Dynamically adapting for individuals’ needs, Universal Access in Human-Computer Interaction. Applications and Services (Berlin-Helderberg: Springer, 2007), 371–379. [20] I.S. MacKenzie and K. Tanaka-Ishii, Text entry systems: Mobility, accessibility, universality (MA, USA: Morgan Kaufmann Inc, 2007).
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