Tip of the Tongue Selectivity and Motor Learning in the Palatal Area

This study assessed the ability of the tongue tip to accurately select intraoral targets embedded in an upper palatal tongue-computer interface, using 18 able-bodied volunteers. Four performance measures, based on modifications to Fitts's Law, were determined for three different tongue-computer interface layouts. The layouts differed with respect to number and location of the targets in the palatal interface. Assessment of intraoral target selection speed and accuracy revealed that performance was indeed dependent on the location and distance between the targets. Performances were faster and more accurate for targets located farther away from the base of the tongue in comparison to posterior and medial targets. A regression model was built, which predicted intraoral target selection time based on target location and movement amplitude better than the predicted by using a standard Fitts's Law model. A 30% improvement in the speed and accuracy over three daily practice sessions of 30 min emphasizes the remarkable motor learning abilities of the tongue musculature and provides further evidence that the tongue is useful for operating computer-interface technologies.

[1]  John Paulin Hansen,et al.  Evaluation of the Potential of Gaze Input for Game Interaction , 2009, PsychNology J..

[2]  Colin G. Drury,et al.  Application of Fitts' Law to Foot-Pedal Design , 1975 .

[3]  Y. Sonoda,et al.  Articulatory measuring system using magnetometer sensors for tongue point movements during speech , 1993 .

[4]  Eugen R Lontis,et al.  Design of inductive sensors for tongue control system for computers and assistive devices , 2008, Disability and rehabilitation. Assistive technology.

[5]  Shumin Zhai,et al.  An isometric tongue pointing device , 1997, CHI.

[6]  Lotte N. S. Andreasen Struijk,et al.  An Inductive Tongue Computer Interface for Control of Computers and Assistive Devices , 2006, IEEE Transactions on Biomedical Engineering.

[7]  E. R. Crossman,et al.  Feedback Control of Hand-Movement and Fitts' Law , 1983, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[8]  David J. Beebe,et al.  Development of a Tongue-Operated Switch Array as an Alternative Input Device , 2005 .

[9]  I. Scott MacKenzie,et al.  Towards a standard for pointing device evaluation, perspectives on 27 years of Fitts' law research in HCI , 2004, Int. J. Hum. Comput. Stud..

[10]  R Plamondon,et al.  Speed/accuracy trade-offs in target-directed movements , 1997, Behavioral and Brain Sciences.

[11]  Abigail Sellen,et al.  A comparison of input devices in element pointing and dragging tasks , 1991, CHI.

[12]  I. Scott MacKenzie,et al.  A character-level error analysis technique for evaluating text entry methods , 2002, NordiCHI '02.

[13]  A. Aronson,et al.  Tongue strength and alternate motion rates in normal and dysarthric subjects. , 1986, Journal of communication disorders.

[14]  L. Arendt-Nielsen,et al.  The effects of intra-oral pain on motor cortex neuroplasticity associated with short-term novel tongue-protrusion training in humans , 2007, Pain.

[15]  Hui Tang,et al.  An oral tactile interface for two-way communication , 2000, 1st Annual International IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology. Proceedings (Cat. No.00EX451).

[16]  I. Scott MacKenzie,et al.  Recent developments in text-entry error rate measurement , 2004, CHI EA '04.

[17]  William J. Hardcastle,et al.  Electropalatography and its clinical applications. , 2008 .

[18]  Maysam Ghovanloo,et al.  Tracking tongue movements for environment control using particle swarm optimization , 2008, 2008 IEEE International Symposium on Circuits and Systems.

[19]  Xueliang Huo,et al.  A Magnetic Wireless Tongue-Computer Interface , 2007, 2007 3rd International IEEE/EMBS Conference on Neural Engineering.

[20]  P. Fitts The information capacity of the human motor system in controlling the amplitude of movement. , 1954, Journal of experimental psychology.

[21]  R. Andres,et al.  Prediction of Head Movement Time Using Fitts’ Law , 1989 .

[22]  W. Penfield The Cerebral Cortex of Man , 1950 .

[23]  Desney S. Tan,et al.  Optically sensing tongue gestures for computer input , 2009, UIST '09.

[24]  Dongshin Kim,et al.  Geometric optimization of a tongue-operated switch array , 2002, Proceedings of the Second Joint 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society] [Engineering in Medicine and Biology.

[25]  W J Hardcastle,et al.  The Use of Electropalatography in Phonetic Research , 1972, Phonetica.

[26]  I. Scott MacKenzie,et al.  Fitts' Law as a Research and Design Tool in Human-Computer Interaction , 1992, Hum. Comput. Interact..