, Ce travail à été financé en partie par : European Research Council (ERC) grant n°695464 ONE : Unified Principles of Interaction

. Références,

. American-psychiatric-association, Diagnostic and statistical manual of mental disorders (DSM-5®), 2013.

M. Bakaev, Fitts' Law for Older Adults : Considering a Factor of Age, Proceedings of the VIII Brazilian Symposium on Human Factors in Computing Systems (IHC '08), pp.260-263, 2008.

O. Chapuis, R. Blanch, and M. Beaudouin-lafon, Fitts' Law in the Wild : A Field Study of Aimed Movements. article 1480, 2007.
URL : https://hal.archives-ouvertes.fr/hal-00612026

C. Davies, A. Almanji, and N. Stott, A crosssectional study examining computer task completion by adolescents with cerebral palsy across the Manual Ability Classification System levels, Developmental Medicine & Child Neurology, vol.56, pp.1180-1186, 2014.

H. Drewes, Only One Fitts' Law Formula Please !, CHI '10 Extended Abstracts on Human Factors in Computing Systems (CHI EA '10), pp.2813-2822, 2010.

D. Elliott, S. Hansen, E. M. Lawrence, J. Grierson, . Lyons et al., Goal-directed aiming : two components but multiple processes, Psychological bulletin, vol.136, 2010.

D. Elliott, R. Werner-f-helsen, and . Chua, A century later : Woodworth's (1899) two-component model of goal-directed aiming, Psychological bulletin, vol.127, p.342, 2001.

D. Elliott, J. Lyons, J. Spencer, J. J. Hayes, J. W. Burkitt et al., The multiple process model of goal-directed reaching revisited, Neuroscience & Biobehavioral Reviews, vol.72, pp.95-110, 2017.

D. Elliott, T. N. Welsh, J. Lyons, S. Hansen, and M. Wu, The visual regulation of goal-directed reaching movements in adults with Williams syndrome, Down syndrome, and other developmental delays, Motor control, vol.10, issue.1, pp.34-54, 2006.

L. Fernandez, R. Huys, J. Issartel, J. Azulay, and A. Eusebio, Movement Speed-Accuracy Trade-Off in Parkinson's Disease, Frontiers in neurology, vol.9, 2018.

P. M. Fitts, The information capacity of the human motor system in controlling the amplitude of movement, Journal of experimental psychology, vol.47, p.381, 1954.

Z. Krzysztof, J. O. Gajos, D. S. Wobbrock, and . Weld, Improving the performance of motor-impaired users with automaticallygenerated, ability-based interfaces, Proceedings of the SIGCHI conference on Human Factors in Computing Systems. ACM, ACM, pp.1257-1266, 2008.

D. Cheryl-m-glazebrook, J. Elliott, and . Lyons, A kinematic analysis of how young adults with and without autism plan and control goal-directed movements, Motor control, vol.10, issue.3, pp.244-264, 2006.

J. Gori, Modeling the speed-accuracy tradeoff using the tools of information theory, 2018.
URL : https://hal.archives-ouvertes.fr/tel-02005752

J. Gori and O. Rioul, Information-Theoretic Analysis of the Speed-Accuracy Tradeoff with Feedback, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp.3452-3457, 2018.
URL : https://hal.archives-ouvertes.fr/hal-02111178

J. Gori and O. Rioul, Regression to a Linear Lower Bound With Outliers : An Exponentially Modified Gaussian Noise Model, 2019.
URL : https://hal.archives-ouvertes.fr/hal-02191051

J. Gori, O. Rioul, and Y. Guiard, Speed-Accuracy Tradeoff : A Formal Information-Theoretic Transmission Scheme (FITTS), ACM Trans. Comput.-Hum. Interact, vol.25, p.33, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01690089

J. Gori, O. Rioul, Y. Guiard, and M. Beaudouin-lafon, The Perils of Confounding Factors : How Fitts' Law Experiments can Lead to False Conclusions, Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, ACM, 0196.
URL : https://hal.archives-ouvertes.fr/hal-01690122

Y. Guiard, B. Halla, S. Olafsdottir, and . Perrault, Fitt's law as an explicit time/error trade-off, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, ACM, pp.1619-1628, 2011.

Y. Guiard and O. Rioul, A mathematical description of the speed/accuracy trade-off of aimed movement, Proceedings of the 2015 British HCI Conference, pp.91-100, 2015.
URL : https://hal.archives-ouvertes.fr/hal-02300015

F. Van-halewyck, A. Lavrysen, O. Levin, D. Elliott, and W. F. Helsen, The impact of age and physical activity level on manual aiming performance, Journal of aging and physical activity, vol.23, pp.169-179, 2015.

J. Spencer, M. Hayes, D. Andrew, E. Elliott, S. Gowen et al., Low Fidelity Imitation of Atypical Biological Kinematics in Autism Spectrum Disorders Is Modulated by Self-Generated Selective Attention, Journal of autism and developmental disorders, vol.46, pp.502-513, 2016.

N. J. Darren-r-hocking, J. L. Rinehart, . Mcginley, A. Simon, J. Moss et al., A kinematic analysis of visuallyguided movement in Williams syndrome, Journal of the neurological sciences, vol.301, pp.51-58, 2011.

A. Hurst, S. E. Hudson, and J. Mankoff, Dynamic Detection of Novice vs. Skilled Use Without a Task Model, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '07), 2007.

, , pp.271-280

A. Hurst, S. E. Hudson, J. Mankoff, and S. Trewin, Distinguishing Users By Pointing Performance in Laboratory and Real-World Tasks, ACM Trans. Access. Comput, vol.5, issue.5, 2013.

F. Hwang, S. Keates, P. Langdon, and J. Clarkson, Mouse movements of motion-impaired users : a submovement analysis, In ACM SIGACCESS Accessibility and Computing, pp.102-109, 2004.

A. Jude, D. Guinness, and . Poor, Reporting and Visualizing Fitts's Law : Dataset, Tools and Methodologies, Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM, ACM, pp.2519-2525, 2016.

J. Caroline, R. D. Ketcham, A. Seidler, G. E. Wa-van-gemmert, and . Stelmach, Age-related kinematic differences as influenced by task difficulty, target size, and movement amplitude, The Journals of Gerontology Series B : Psychological Sciences and Social Sciences, vol.57, pp.54-64, 2002.

Y. Melanie, N. J. Lam, N. Hodges, M. L. Virji-babul, and . Latash, Evidence for slowing as a function of index of difficulty in young adults with Down syndrome, American journal on intellectual and developmental disabilities, vol.114, pp.411-426, 2009.

D. E. Meyer, R. A. Abrams, S. Kornblum, C. E. Wright, J. E. et al., Optimality in human motor performance : ideal control of rapid aimed movements, Psychological review, vol.95, pp.340-370, 1988.

C. Missiuna, R. Gaines, H. Soucie, and J. Mclean, Parental questions about developmental coordination disorder : A synopsis of current evidence, Paediatrics & child health, vol.11, issue.8, pp.507-512, 2006.

K. Nieuwenhuizen and J. Martens, Advanced modeling of selection and steering data : beyond Fitts' law, International Journal of Human-Computer Studies, vol.94, pp.35-52, 2016.

S. Pieters, H. Roeyers, Y. Rosseel, H. Van-waelvelde, and A. Desoete, Identifying subtypes among children with developmental coordination disorder and mathematical learning disabilities, using model-based clustering, Journal of learning disabilities, vol.48, pp.83-95, 2015.

D. Mark-a-robinson, . Elliott, J. Spencer, . Hayes, J. Gabor et al., Primary and submovement control of aiming in C6 tetraplegics following posterior deltoid transfer, Journal of neuroengineering and rehabilitation, vol.11, 2014.

R. A. Schmidt, H. Zelaznik, B. Hawkins, J. S. , and J. T. Quinn, Motor-output variability : a theory for the accuracy of rapid motor acts, Psychological review, vol.86, p.415, 1979.

A. Seelye, S. Hagler, N. Mattek, D. B. Howieson, K. Wild et al., Computer mouse movement patterns : A potential marker of mild cognitive impairment, 2015.

, Alzheimer's & Dementia : Diagnosis, Assessment & Disease Monitoring, vol.1, pp.472-480, 2015.

W. Soukoreff and . Scott-mackenzie, Towards a standard for pointing device evaluation, perspectives on 27 years of Fitts' law research in HCI, International journal of human-computer studies, vol.61, pp.751-789, 2004.

N. Teasdale, C. Bard, M. Fleury, D. E. Young, and L. Proteau, Determining movement onsets from temporal series, Journal of motor behavior, vol.25, pp.97-106, 1993.

F. Tian, X. Fan, J. Fan, Y. Zhu, J. Gao et al., What Can Gestures Tell ? : Detecting Motor Impairment in Early Parkinson's from Common Touch Gestural Interactions, Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19), vol.83, 2019.

L. Vaivre-douret, C. Lalanne, I. Ingster-moati, N. Boddaert, D. Cabrol et al., Subtypes of developmental coordination disorder : research on their nature and etiology, Developmental neuropsychology, vol.36, pp.614-643, 2011.

A. Miguel, A. Velasco, R. Clemotte, R. Raya, E. Ceres et al., Human-computer interaction for users with cerebral palsy based on head orientation. Can cursor's movement be modeled by Fitts's law ?, International Journal of Human-Computer Studies, vol.106, pp.1-9, 2017.

N. Walker, A. David-a-philbin, and . Fisk, Age-related differences in movement control : Adjusting submovement structure to optimize performance, The Journals of Gerontology Series B : Psychological Sciences and Social Sciences, vol.52, pp.40-53, 1997.

N. Timothy, L. Welsh, D. Higgins, and . Elliott, Are there age-related differences in learning to optimize speed, accuracy, and energy expenditure ?, Human Movement Science, vol.26, pp.892-912, 2007.

J. Williams, C. Hyde, and A. Spittle, Developmental coordination disorder and cerebral palsy : Is there a continuum ?, Current Developmental Disorders Reports, vol.1, pp.118-124, 2014.

R. S. Woodworth, 1899. Accuracy of voluntary movement, The Psychological Review : Monograph Supplements, vol.3, 1899.

S. Zhai, Characterizing computer input with Fitts' law parameters-the information and non-information aspects of pointing, International Journal of Human-Computer Studies, vol.61, pp.791-809, 2004.