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Inicio Revista Iberoamericana de Automática e Informática Industrial RIAI Metodología de Evaluación de Eye-trackers como Dispositivos de Acceso Alternat...
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Vol. 14. Núm. 4.
Páginas 384-393 (octubre - diciembre 2017)
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3503
Vol. 14. Núm. 4.
Páginas 384-393 (octubre - diciembre 2017)
Open Access
Metodología de Evaluación de Eye-trackers como Dispositivos de Acceso Alternativo para Personas con Parálisis Cerebral
Evaluation methodology for eye-trackers as alternative access device for people with cerebral palsy
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A. Clemottea,b,
Autor para correspondencia
a.clemotte@alumnos.upm.es

Autor para correspondencia.
, M.A. Velascoa, R. Rayac, R. Ceresd, R. de Córdobab, E. Rocona
a Centro de Automática y Robótica, Consejo Superior de Investigaciones Científicas, Ctra. Campo Real Km 0.2, Arganda del Rey, Madrid, España
b Departamento de Ingeniería Electrónica, Universidad Politécnica de Madrid, Av. Complutense, 30, Madrid, España
c Departamento de Tecnologías de la Información, Universidad CEU San Pablo, C/ Julián Romea, 18, Boadilla del Monte, Madrid, España
d Instituto Cajal, Consejo Superior de Investigaciones Científicas, Av. Dr. Arce, 37, Madrid, España
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Los procedimientos de evaluación de los sistemas alternativos de acceso al ordenador son poco rigurosos, sistemáticos y formales. Este trabajo presenta una metodología para la valoración de la interacción usuario-ordenador, cuando los sistemas de eye-tracking son utilizados como herramienta de acceso alternativo al ordenador por personas con Parálisis Cerebral (PC). Para ello, proponemos tres métricas de evaluación: tasa de fallos de calibración, tasa de error en el clic y tiempo de clic. Validamos la metodología, comparando 3 (tres) eye- trackers, con 9 (nueve) participantes con PC con trastornos motores severos. Los resultados indican que la calibración es un proceso crítico en estos escenarios como refleja la alta tasa de fallos de calibración medida. Los participantes con PC también tienen una alta tasa de error del clic, lo que indica que el uso de eye-trackers para alcanzar un objeto en pantalla es un proceso complejo para estos niveles de discapacidad motriz. Los tiempos de clics son similares entre todos los eye-trackers y participantes. Este trabajo pretende establecer líneas metodológicas para la efectiva evaluación de estos dispositivos, que pueden llegar a ser una interesante alternativa de acceso al ordenador para esta población.

Palabras clave:
Acceso alternativo
eye-trackers
metodología
evaluación
valoración
parálisis cerebral
ley de Fitts
Abstract

The procedures for evaluating alternative computer access systems are neither rigorous, systematic nor formal. We present a methodology to evaluate the user-computer interaction, based on three metrics, when people with cerebral palsy (CP) use eye- trackers as an alternative access device. We validated the methodology by comparing three commercial eye-trackers with nine participants seriously affected by CP. The results indicate that the calibration is a very critical process in these scenarios because of the high rate of calibration failures measured. The participants with CP also have a high click error rate, indicating that using eye- trackers to reach an object on the screen is a complex process for these levels of disability. The click times are similar between all eye-trackers and participants. This study is not intended to discourage the use of eye-trackers in the population with CP, but to establish methodological guidelines for the effective evaluation of commercial devices, which can be an interesting alternative to computer access for this population.

Keywords:
Alternative access
Eye-trackers
Methodology
Evaluation
Assessment
Cerebral palsy
Fitts’ Law
Referencias
[Bax et al., 2005]
Bax, M., Goldstein, M., Rosenbaum, P., Leviton, A., Paneth, N., Dan, B., … Damiano, D. (2005). Proposed definition and classification of cerebral palsy. Developmental medicine & child neurology, 47(8), 571-576. http://doi.org/10.1017/S001216220500112X.
[Borgestig et al., 2016]
M. Borgestig, J. Sandqvist, R. Parsons, T. Falkmer, H. Hemmingsson.
Eye gaze performance for children with severe physical impairments using gaze-based assistive technology—A longitudinal study.
Assistive Technology, 28 (2016), pp. 93-102
http://doi.org/10.1080/10400435.2015.1092182
[Carpenter, 1988]
R.H.S. Carpenter.
Movements of the Eyes.
2.a ed., Pion, (1988),
[Cerrolaza et al., 2012]
J.J. Cerrolaza, A. Villanueva, M. Villanueva, R. Cabeza.
Error characterization and compensation in eye tracking systems.
En Proceedings of the Symposium on Eye Tracking Research and Applications - ETRA ‘12, ACM Press, (2012), pp. 205
http://doi.org/10.1145/2168556.2168595
[Chin et al., 2008]
Chin, C.A., Barreto, A., Cremades, J.G., & Adjouadi, M. (2008). Integrated electromyogram and eye-gaze tracking cursor control system for computer users with motor disabilities. Journal of rehabilitation research and development, 45, 161-174.
[Clarke and Price, 2012]
M. Clarke, K. Price.
Augmentative and alternative communication for children with cerebral palsy.
Paediatrics and Child Health, 22 (2012), pp. 367-371
http://doi.org/10.1016/j.paed.2012.03.002
[Clemotte et al., 2013a]
A. Clemotte, F. Brunetti, R. Raya, R. Ceres, E. Rocon.
Interfaces alternativas de acceso al ordenador: principios comunes y propuesta de métricas de valoración.
En VII Congreso Iberoamericano de Tecnologías de apoyo a la discapacidad, IBERDISCAP, Santo Domingo, (2013),
[Clemotte et al., 2014a]
A. Clemotte, R. Raya, R. Ceres.
Análisis de interfaces basadas en movimientos de iris y de cabeza para personas con parálisis cerebral.
Editorial Académica Española, (2014),
[Clemotte et al., 2013b]
Clemotte, A., Raya, R., Ceres, R., & Rocon, E. (2013). Preliminary Result from a Multimodal Interface for Cerebral Palsy Users Based on Eye Tracking and Inertial Technology. In: J. L. Pons, D. Torricelli, & M. Pajaro. (eds.), Converging Clinical and Engineering Research on Neurorehabilitation (pp. 443-448). Springer Berlin Heidelberg. http://doi.org/10.1007/978-3-642-34546-3_72.
[Clemotte et al., 2014b]
A. Clemotte, M.A. Velasco, D. Torricelli, R. Raya, R. Ceres.
Accuracy and Precision of the Tobii X2-30 Eye-tracking under Non Ideal Conditions.
En International Congress on Neurotechnology, Electronics and Informatics - Neurotechnix, Roma, (2014),
[Davies et al., 2010]
C. Davies, T. Chau, D.L. Fehlings, S. Ameratunga, N.S. Stott.
Youth with cerebral palsy with differing upper limb abilities: how do they access computers?.
Archives of physical medicine and rehabilitation, 91 (2010), pp. 1952-1956
http://doi.org/10.1016/j.apmr.2010.08.013
[Ding et al., 2015]
D. Ding, S.P. Rodriguez, R.a. Cooper, C.N. Riviere.
Improving Target Acquisition for Computer Users With Athetosis.
Assistive Technology, 27 (2015), pp. 52-58
http://doi.org/10.1080/10400435.2014.984260
[Drewes, 2014]
H. Drewes.
Eye Gaze Tracking. En Interactive Displays.
Chichester, UK, (2014), pp. 251-283
http://doi.org/10.1002/9781118706237.ch8
[Duchowski, 2007]
A. Duchowski.
Eye tracking methodology: Theory and practice.
New York Inc., (2007),
[Eliasson et al., 2006]
A.-C. Eliasson, L. Krumlinde-Sundholm, B. Rösblad, E. Beckung, M. Arner, A.-M. Ohrvall, P. Rosenbaum.
The Manual Ability Classification System (MACS) for children with cerebral palsy: scale development and evidence of validity and reliability.
Developmental medicine & child neurology, 48 (2006), pp. 549-554
http://doi.org/10.1017/S0012162206001162
[Fager et al., 2012]
S. Fager, L. Bardach, S. Russell, J. Higginbotham.
Access to augmentative and alternative communication: New technologies and clinical decision-making.
Journal of Pediatric Rehabilitation Medicine, (2012), pp. 53-61
5 September 2015 http://doi.org/10.3233/PRM-2012-0196
[Guestrin, 2010]
E.D. Guestrin.
Remote, Non-Contact Gaze Estimation with Minimal Subject Cooperation.
University of Toronto, (2010),
[Himabundu et al., 2011]
J. Himabundu, S. Vivekanandan, K. Sourabh, D. Emmanuel.
Cursor Control Using Bio-potential Signals for People with Motor Disabilities.
International Journal of Bioinformatics and Soft Computing, 1 (2011), pp. 9-21
[Jansen et al., 2011]
A. Jansen, L. Findlater, J.O. Wobbrock.
From the lab to the world: lessons from extending a pointing technique for real-world use.
Proceedings of the 2011 annual conference extended abstracts on Human factors in computing systems - CHI EA ‘11, (2011), pp. 1867-1872
http://doi.org/10.1145/1979742.1979888
[Käthner et al., 2015]
I. Käthner, A. Kübler, S. Halder.
Comparison of eye tracking, electrooculography and an auditory brain-computer interface for binary communication: a case study with a participant in the locked-in state.
Journal of NeuroEngineering and Rehabilitation, 12 (2015), pp. 76
http://doi.org/10.1186/s12984-015-0071-z
[Kim et al., 2015]
Kim, M., Kim, B.H., & Jo, S. (2015). Quantitative evaluation of a low-cost noninvasive hybrid interface based on EEG and eye movement. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 23(2), 159-68. http://doi.org/10.1109/TNSRE.2014.2365834.
[Land and Tatler, 2009]
M. Land, B. Tatler.
Looking and Acting: Vision and eye movements in natural behaviour.
1.a ed., Oxford University Press, (2009),
[Mackenzie, 1992]
I.S. Mackenzie.
Fitts’ law as a research and design tool in human- computer interaction.
Human-computer interaction, 7 (1992), pp. 91-139
[Majaranta et al., 2006]
P. Majaranta, I.S. MacKenzie, A. Aula, K.-J. Räihä.
Effects of feedback and dwell time on eye typing speed and accuracy.
Universal Access in the Information Society, 5 (2006), pp. 199-208
http://doi.org/10.1007/s10209-006-0034-z
[Majaranta and Räihä, 2002]
P. Majaranta, K.-J. Räihä.
Twenty years of eye typing.
En Proceedings of the symposium on Eye tracking research & applications - ETRA ‘02, ACM Press, (2002), pp. 15
http://doi.org/10.1145/507072.507076
[Man and Wong, 2007]
D.W.K. Man, M.-S.L. Wong.
Evaluation of computer-access solutions for students with quadriplegic athetoid cerebral palsy.
The American journal of occupational therapy, 61 (2007), pp. 355-364
[Mauri et al., 2007]
C. Mauri, T. Granollers, A. Solanas, E. Lleida Solano.
On the Assessment of the Interaction Quality of Users with Cerebral Palsy.
En Second International Conference on Availability, Reliability and Security ARES, Vienna, (2007), pp. 799-805
[McIntyre et al., 2011]
S. McIntyre, C. Morgan, K. Walker, I. Novak.
Cerebral Palsy- Don’t Delay.
Developmental Disabilities Research Reviews, 17 (2011), pp. 114-129
http://doi.org/10.1002/ddrr.1106
[Navallas et al., 2011]
J. Navallas, M. Ariz, A. Villanueva, J. San Agustín, R. Cabeza.
Optimizing interoperability between video-oculographic and electromyographic systems.
Journal of Rehabilitation Research and Development, 48 (2011), pp. 253
http://doi.org/10.1682/JRRD.2010.06.0112
[Nyström et al., 2013]
M. Nyström, R. Andersson, K. Holmqvist, J. van de Weijer.
The influence of calibration method and eye physiology on eyetracking data quality.
Behavior research methods, 45 (2013), pp. 272-288
http://doi.org/10.3758/s13428-012-0247-4
[Öhrvall et al., 2014]
A.-M. Öhrvall, L. Krumlinde-Sundholm, A.-C. Eliasson.
The stability of the Manual Ability Classification System over time.
Developmental Medicine & Child Neurology, 56 (2014), pp. 185-189
http://doi.org/10.1111/dmcn.12348
[Palisano et al., 2008]
R.J. Palisano, P. Rosenbaum, D. Bartlett, M.H. Livingston.
Content validity of the expanded and revised Gross Motor Function Classification System.
Developmental Medicine & Child Neurology, 50 (2008), pp. 744-750
http://doi.org/10.1111/j.1469-8749.2008.03089.x
[Pennington, 2008]
L. Pennington.
Cerebral palsy and communication.
Paediatrics and Child Health, 18 (2008), pp. 405-409
http://doi.org/10.1016/j.paed.2008.05.013
[Raya et al., 2010]
R. Raya, J.O.J.O. Roa, E. Rocon, R. Ceres, J.L.J.L. Pons.
Wearable inertial mouse for children with physical and cognitive impairments.
Sensors and Actuators A: Physical, 162 (2010), pp. 248-259
http://doi.org/10.1016/j.sna.2010.04.019
[Saavedra et al., 2009]
S. Saavedra, A. Joshi, M. Woollacott, P. van Donkelaar.
Eye hand coordination in children with cerebral palsy.
Experimental Brain Research, 192 (2009), pp. 155-165
http://doi.org/10.1007/s00221-008-1549-8
[Saz Torralba et al., 2011]
O. Saz Torralba, W. Ricardo, R. Dueñas, E.L. Solano.
Development of Voice-Based Tools for Accessibility to Computer Services.
Computación y Sistemas, 15 (2011), pp. 7-15
[Tien and Atkins, 2008]
Tien, G., & Atkins, M.S. (2008). Improving hands-free menu selection using eyegaze glances and fixations. En Proceedings of the 2008 symposium on Eye tracking research & applications - ETRA ‘08 (p. 47). New York, New York, USA: ACM Press. http://doi.org/10.1145/1344471.1344482.
[Úbeda et al., 2011]
A. Úbeda, E. Iáñez, J.M. Azorín.
Wireless and Portable EOG-Based Interface.
IEEE/ASME Transactions on mechatronics, 16 (2011), pp. 870-873
[Velasco et al., 2016]
M.a. Velasco, R. Raya, R. Ceres, A. Clemotte, A. Ruiz Bedia, T. Gonzalez Franco, E. Rocon.
Positive and Negative Motor Signs of Head Motion in Cerebral Palsy: Assessment of Impairment and Task Performance.
IEEE Systems Journal, 10 (2016), pp. 967-973
http://doi.org/10.1109/JSYST2014.2318075
[Wilkinson and Mitchell, 2014]
K.M. Wilkinson, T. Mitchell.
Eye Tracking Research to Answer Questions about Augmentative and Alternative Communication Assessment and Intervention.
Augmentative and Alternative Communication, 30 (2014), pp. 106-119
http://doi.org/10.3109/07434618.2014.904435
[Wobbrock et al., 2009]
J.O. Wobbrock, J. Fogarty, S. Liu, S. Kimuro, S. Harada.
The angle mouse: target-agnostic dynamic gain adjustment based on angular deviation.
En SIGCHI Conference on Human Factors in Computing Systems, ACM, (2009), pp. 1401-1410
http://doi.org/10.1145/1518701.1518912
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