Ley de Fitts: Sobre el Cálculo del Rendimiento y Tareas No ISO

Palabras clave: Ley de fitts, Rendimiento, ISO 9241-411, HCI móvil, Head-tracking

Resumen

En este trabajo se presenta el uso de una tarea de selección de objetivos en la evaluación de un head-tracker para dispositivos móviles. Primero, se describe el método de cálculo del rendimiento mediante un ejemplo detallado. A continuación, se discute el método de cálculo para tareas que no cumplen el estándar ISO. Debido a la amplitud no constante de la tarea dentro de cada secuencia, se calcula el rendimiento utilizando dos métodos de agregación de datos: por secuencia, calculando la amplitud media, y por condiciones comunes A-W. Se recomienda calcular el rendimiento utilizando la división de medias y el ajuste de precisión. La media general de rendimiento ha sido de 0,74 bps (un 45 % menor que con una tarea ISO). Se presentan dos recomendaciones de diseño para tareas que no cumplen el estándar ISO: mantener constantes A-W dentro de cada secuencia y utilizar estrategias para evitar el tiempo de reacción.

Biografía del autor/a

Maria Francesca Roig-Maimó, Universitat de les Illes Balears

Received her degree in Computer Science and her Master degree in Computer Science from the University of Balearic Islands. She is currently a Ph. D. student and an Assistant Lecturer at the University of Balearic Islands. Her research interests include human-computer interaction, mainly focused on mobile devices and performance evaluation.

Ian Scott MacKenzie, York University

Researcher in human-computer interaction with an emphasis on human performance measurement and modeling, experimental methods and evaluation, interaction devices and techniques, text entry, touch-based input, language modeling, accessible computing, gaming, and mobile computing. He has more than 160 peer-reviewed publications in the field of Human-Computer Interaction and has given numerous invited talks over the past 25 years. In 2015, he was elected into the ACM SIGCHI Academy. Since 1999, he has been Associate Professor of Computer Science and Engineering at York University, Canada. Home page: http://www.yorku.ca/mack/

Cristina Manresa-Yee, Universitat de les Illes Balears

Received her degree in Computer Science and her Ph. D. in Computer Science from the University of Balearic Islands. She is currently an Associate Professor at the University of the Balearic Islands. Her research interests include human-computer interaction, computer vision and assistive technologies. She is a member of the Asociación Interacción Persona-Ordenador (AIPO).

Javier Varona Gómez, Universitat de les Illes Balears

Researcher in computer vision and machine learning for human computer interaction and human behavior analysis. He was researcher in the Computer Vision Centre (CVC) at the Universitat Autònoma de Barcelona. Since 2003, he is researcher at the Universitat de les Illes Balears (UIB), and from 2009, he is also Associate Professor in the Dept. of Mathematics and Computer Science. He has participated in over 20 funded research projects. He is the leader of a Spanish government funded research project on vision-based interaction in health contexts (TIN2016-81143-R).

Referencias

[1] P. M. Fitts, “The information capacity of the human motor system in controlling the amplitude of movement,” J. Exp. Psychol., vol. 47, no. 6, p. 381, 1954.

[2] I. S. MacKenzie, “Fitts’ law as a research and design tool in human-computer interaction,” Human-Computer Interact., vol. 7, no. 1, pp. 91–139, 1992.

[3] R. W. Soukoreff and I. S. MacKenzie, “Towards a standard for pointing device evaluation, perspectives on 27 years of Fitts’ law research in HCI,” Int. J. Hum. Comput. Stud., vol. 61, no. 6, pp. 751–789, Dec. 2004.

[4] ISO, “9241--9. 2000. Ergonomics requirements for office work with visual display terminals (VDTs) -- Part 9: Requirements for non-keyboard input devices,” Int. Organ. Stand., 2002.

[5] ISO, “9241--411. 2012. Ergonomics of human-system interaction -- Part 411: Evaluation methods for the design of physical input devices,” Int. Organ. Stand., 2012.

[6] I. S. MacKenzie, “Fitts’ throughput and the remarkable case of touch-based target selection,” in Proceedings of the 17th International Conference on Human-Computer Interaction - HCII 2015, 2015, pp. 238–249.

[7] K. B. Perry and J. P. Hourcade, “Evaluating one handed thumb tapping on mobile touchscreen devices,” in Proceedings of the Graphics Interface 2008 - GI 2008, 2008, pp. 57–64.

[8] N. Henze and S. Boll, “It does not Fitts my data! Analysing large amounts of mobile touch data,” in Proceedings of the IFIP Conference on Human-Computer Interaction - INTERACT 2011, 2011, pp. 564–567.

[9] M. F. Roig-Maimó, J. Varona Gómez, and C. Manresa-Yee, “Face Me! Head-Tracker Interface Evaluation on Mobile Devices,” in Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2015, pp. 1573–1578.

[10] Apple Inc, “iOS Human Interface Guidelines: Designing for iOS.” .

[11] P. M. Fitts and J. R. Peterson, “Information capacity of discrete motor responses.”

[12] R. W. Bailey, Human performance engineering: Designing high quality professional user interfaces for computer products, applications and systems, 3rd ed. Upper Saddle River, NJ: Prentice Hall, 1996.

[13] M. F. Roig-Maimó, I. S. MacKenzie, C. Manresa-Yee, and J. Varona, “Head-tracking interfaces on mobile devices: Evaluation using Fitts’ law and a new multi-directional corner task for small displays,” Int. J. Hum. Comput. Stud.
Cómo citar
Roig-Maimó, M. F., MacKenzie, I. S., Manresa-Yee, C., & Varona Gómez, J. (2018). Ley de Fitts: Sobre el Cálculo del Rendimiento y Tareas No ISO. Revista Colombiana De Computación, 19(1), 7-28. https://doi.org/10.29375/25392115.3226

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Publicado
2018-06-01
Sección
Artículo de investigación científica y tecnológica