E. Abdulin, Using the keystroke-level model for designing user interface on middle-sized touch screens, Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems, CHI EA '11, pp.673-686, 2011.
DOI : 10.1145/1979742.1979667

C. Asakawa, H. Takagi, S. Ino, and T. Ifukube, Maximum Listening Speeds for the blind, Proceedings of the International Community for Auditory Display, pp.276-279, 2003.

K. El-batran, D. Mark, and . Dunlop, Enhancing KLM (keystroke-level model) to fit touch screen mobile devices, Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services, MobileHCI '14, pp.283-286, 2014.
DOI : 10.1145/2628363.2628385

K. Stuart, . Card, P. Thomas, A. Moran, and . Newell, The Keystroke-level Model for User Performance Time with Interactive Systems, Commun. ACM, vol.23, issue.7, pp.396-410, 1980.

K. Stuart, A. Card, . Newell, P. Thomas, and . Moran, The Psychology of Human-Computer Interaction. L, 1983.

L. Anna, . Cox, A. Paul, A. Cairns, S. Walton et al., Tlk or txt? Using voice input for SMS composition. Personal and Ubiquitous Computing 12, pp.567-588, 2008.

D. Mark, A. Dunlop, and . Crossan, Predictive text entry methods for mobile phones, Personal Technologies, vol.4, issue.2, pp.134-143, 2000.

O. Erazo, A. José, and . Pino, Predicting Task Execution Time on Natural User Interfaces based on Touchless Hand Gestures, Proceedings of the 20th International Conference on Intelligent User Interfaces, IUI '15, pp.97-109, 2015.
DOI : 10.1148/rg.332125101

P. Holleis, F. Otto, H. Hussmann, and A. Schmidt, Keystroke-level model for advanced mobile phone interaction, Proceedings of the SIGCHI conference on Human factors in computing systems , CHI '07, pp.1505-1514, 2007.
DOI : 10.1145/1240624.1240851
URL : http://www.hcilab.org/documents/KLMForAdvancedPhoneInteraction_Holleis_CHI.pdf

P. Holleis, M. Scherr, and G. Broll, A Revised Mobile KLM for Interaction with Multiple NFC-Tags, Proceedings of the 13th IFIP TC 13 International Conference on Human-computer Interaction -Volume Part IV (INTERACT'11), pp.204-221, 2011.
DOI : 10.1007/978-3-642-23768-3_18
URL : https://hal.archives-ouvertes.fr/hal-01596959

E. Bonnie, . John, E. David, and . Kieras, The GOMS Family of User Interface Analysis Techniques: Comparison and Contrast, ACM Trans. Comput.-Hum. Interact, vol.3, issue.4, pp.320-351, 1996.

E. Bonnie, . John, E. David, and . Kieras, Using GOMS for User Interface Design and Evaluation: Which Technique?, ACM Trans. Comput.-Hum. Interact, vol.3, issue.4, pp.287-319, 1996.

E. Bonnie, K. John, . Prevas, D. Dario, K. Salvucci et al., Predictive Human Performance Modeling Made Easy, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '04), pp.455-462, 2004.

A. Lee, K. Song, H. Blake-ryu, J. Kim, and G. Kwon, Fingerstroke time estimates for touchscreen-based mobile gaming interaction, Proceedings of the 24th Annual ACM Symposium on User Interface Software and Technology (UIST '11), pp.211-224, 2011.
DOI : 10.1016/j.humov.2015.09.003

H. Li, Y. L. Liu, X. Wang, Y. Li, and P. Rau, Extended KLM for mobile phone interaction, Proceedings of the 28th of the international conference extended abstracts on Human factors in computing systems, CHI EA '10, pp.3517-3522, 2010.
DOI : 10.1145/1753846.1754011

Y. Liu and K. Räihä, Predicting Chinese text entry speeds on mobile phones, Proceedings of the 28th international conference on Human factors in computing systems, CHI '10, pp.2183-2192, 2010.
DOI : 10.1145/1753326.1753657

L. Luo, P. Daniel, and . Siewiorek, KLEM: A Method for Predicting User Interaction Time and System Energy Consumption during Application Design, 2007 11th IEEE International Symposium on Wearable Computers, pp.1-84373782, 2007.
DOI : 10.1109/ISWC.2007.4373782
URL : http://www.cs.cmu.edu/~luluo/Publications/ISWC-07.pdf

I. Scott and M. , Motor behaviour models for human-computer interaction. HCI models, theories, and frameworks: Toward a multidisciplinary science, pp.27-54, 2003.

D. Andrew, J. W. Rice, and . Lartigue, Touch-level Model (TLM): Evolving KLM-GOMS for Touchscreen and Mobile Devices, Proceedings of the 2014 ACM Southeast Regional Conference (ACM SE '14), pp.1-53, 2014.

M. Schrepp and P. Fischer, A GOMS Model for Keyboard Navigation in Web Pages and Web Applications, Computers Helping People with Special Needs: 10th International Conference, pp.287-294, 2006.
DOI : 10.1007/11788713_43

H. Takagi, C. Asakawa, K. Fukuda, and J. Maeda, Accessibility Designer: Visualizing Usability for the Blind, Proceedings of the 6th International ACM SIGACCESS Conference on Computers and Accessibility, pp.177-184, 2004.

L. Teo, E. Bonnie, and . John, Comparisons of keystroke-level model predictions to observed data, CHI '06 extended abstracts on Human factors in computing systems, CHI EA '06, pp.1421-1426, 2006.
DOI : 10.1145/1125451.1125713

H. Tonn-eichstädt, Measuring website usability for visually impaired people-a modified GOMS analysis, Proceedings of the 8th international ACM SIGACCESS conference on Computers and accessibility , Assets '06, pp.55-62, 2006.
DOI : 10.1145/1168987.1168998

S. Trewin, E. Bonnie, J. John, C. Richards, J. Swart et al., Towards a Tool for Keystroke Level Modeling of Skilled Screen Reading Introduction to Web Accessibility, Proceedings of the 12th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS '10)w3.org/WAI/intro/accessibility.php 27. World Health Organization (WHO). Visual impairement and blindness. 28. Behavioral Observation Research Interactive Software (BORIS). Retrieved, pp.27-34, 2010.