scholarly journals Fifty years later: a neurodynamic explanation of Fitts' law

2006 ◽  
Vol 3 (10) ◽  
pp. 649-654 ◽  
Author(s):  
Dan Beamish ◽  
Shabana Ali Bhatti ◽  
I. Scott MacKenzie ◽  
Jianhong Wu

An intrinsic property of human motor behaviour is a trade-off between speed and accuracy. This is classically described by Fitts' law, a model derived by assuming the human body has a limited capacity to transmit information in organizing motor behaviour. Here, we propose an alternative foundation, based on the neurodynamics of the motor circuit, wherein Fitts' law is an approximation to a more general relationship. In this formulation, widely observed inconsistencies with experimental data are a consequence of psychomotor delay. The methodology developed additionally provides a method to estimate the delay within the motor circuit from the speed-accuracy trade-off alone.

1997 ◽  
Vol 85 (2) ◽  
pp. 705-718 ◽  
Author(s):  
Chia-Fen Chi ◽  
Chia-Liang Lin

The current experiment examined the speed-accuracy trade-off of saccadic movement between two targets. Ten subjects looked alternately at two targets as fast and as accurately as possible for 2 min. under different conditions of target size, distance between targets, and direction of eye movement. Saccadic movement of the left eye was tracked and recorded with an infrared eye monitoring device to compute the starting position, ending position, and duration of each saccadic movement. Eye-movement time was significantly related to target size and distance between targets, but the speed-accuracy trade-off was significantly different from that predicted by Fitts' Law. Reaction time was not significantly changed by the direction of eye movement.


2012 ◽  
Vol 11 (3) ◽  
pp. 118-126 ◽  
Author(s):  
Olive Emil Wetter ◽  
Jürgen Wegge ◽  
Klaus Jonas ◽  
Klaus-Helmut Schmidt

In most work contexts, several performance goals coexist, and conflicts between them and trade-offs can occur. Our paper is the first to contrast a dual goal for speed and accuracy with a single goal for speed on the same task. The Sternberg paradigm (Experiment 1, n = 57) and the d2 test (Experiment 2, n = 19) were used as performance tasks. Speed measures and errors revealed in both experiments that dual as well as single goals increase performance by enhancing memory scanning. However, the single speed goal triggered a speed-accuracy trade-off, favoring speed over accuracy, whereas this was not the case with the dual goal. In difficult trials, dual goals slowed down scanning processes again so that errors could be prevented. This new finding is particularly relevant for security domains, where both aspects have to be managed simultaneously.


1997 ◽  
Vol 20 (2) ◽  
pp. 325-325
Author(s):  
Howard N. Zelaznik ◽  
Robert W. Proctor

Several issues are raised concerning the notion that a single strategy explains Fitts' law and the linear speed/accuracy trade-off. Two additional concerns are discussed: (1) distance is programmed, (2) the fact that movements produced without the aid of vision obey Fitts' law does not mean that sighted movements must be explained without regard to vision.


1997 ◽  
Vol 20 (2) ◽  
pp. 319-319 ◽  
Author(s):  
P. Morasso ◽  
V. Sanguineti

Fitts' law and the ΔΛ model are “weak” theories of motor control because they are limited to the kinematic aspects of movement and do not capture its essential dynamic nature. The internal source of “noise” that determines the speed/ accuracy trade-off can be associated with the partial compensation of movement-generated “parasitic” forces.


Author(s):  
Maarten Wijnants ◽  
Ralf Cox ◽  
Fred Hasselman ◽  
Guy Van Orden ◽  
Anna Bosman

Author(s):  
Xiaolei Zhou ◽  
Xiangshi Ren

A tradeoff between speed and accuracy is a very common phenomenon in many types of human motor tasks. In general, the accuracy of a movement tends to decrease when its speed increases and the speed of a movement tends to decrease with an increase in its accuracy. This phenomenon has been studied for more than a century, during which several alternative performance models that account for the tradeoff between speed and accuracy have been presented. In this chapter, the authors present a critical survey of the scientific literature that discusses speed-accuracy tradeoff models of target-based and trajectory-based movement; these two types of movement are the major popular task paradigms in studies of human-computer interactions. Some of the models emerged from basic research in experimental psychology and motor control theory, whereas others emerged from a specific need to model the interaction between users and physical devices, such as mice, keyboards, and styluses in the field of Human-Computer Interaction (HCI). This chapter summarizes these models from the perspectives of spatial constraints and temporal constraints for both target-based and trajectory-based movements.


1983 ◽  
Vol 5 (2) ◽  
pp. 189-196 ◽  
Author(s):  
Janet L. Starkes ◽  
Fran Allard

Volleyball players and nonplayers were compared for speed and accuracy of performance in a task involving detection of the presence of a volleyball in rapidly presented slides of a volleyball situation. Slides depicted both game and nongame situations, and subjects performed the task in both noncompetitive and competitive conditions. For all subjects, game information was perceived more quickly and accurately than nongame information. In competition all subjects showed decreased perceptual accuracy and no change in criterion, supporting the Easterbrook (1959) notion of perceptual narrowing with stress. Very large accompanying increases in response speed, however, suggested that competition may induce adoption of a particular speed-accuracy trade-off. Cognitive flexibility in the adoption of particular speed-accuracy trade-offs is discussed with reference to volleyball.


2020 ◽  
Vol 12 ◽  
Author(s):  
Yauhen Statsenko ◽  
Tetiana Habuza ◽  
Klaus Neidl-Van Gorkom ◽  
Nazar Zaki ◽  
Taleb M. Almansoori

Background: The current study examines the relationship between speed and accuracy of performance in a reaction time setting and explores the informative value of the inverse efficiency score (IES) regarding the possibility to reflect age-related cognitive changes.Objectives: To study the characteristics of speed and accuracy while performing psychophysiological tests throughout the lifespan; to examine the speed-accuracy ratio in age groups and to apply IES to discriminative visual-motor reaction task; and to figure out the predictive potential of psychophysiological tests to identify IES values.Methods: We utilize nonparametric statistical tests, regression analysis, and supervised machine learning methods.Results and Conclusion: The examinees under 20 and over 60 years of age share one tendency regarding the speed-accuracy ratio without speed-accuracy trade-off. Both at the time of active developmental changes in adolescence and during ongoing atrophic changes in elderly there is a tendency toward a rise of the number of mistakes while slowing the reaction. In the age range from 20 to 60 the relationship between the speed and accuracy is opposite and speed-accuracy trade-off is present. In our battery, complex visual-motor reaction is the only test with the significant negative association between reaction time and error rate in the subcohort of young and midlife adults taken together. On average, women perform more slowly and accurately than men in the speed-accuracy task, however most of the gender-related differences are insignificant. Using results of other psychophysiological tests, we predicted IES values for the visual-motor reaction with high accuracy (R2 = 0.77 ± 0.08; mean absolute error / IES range = 3.37%). The regression model shows the best performance in the cognitively preserved population groups of young and middle-aged adults (20–60 years). Because of the individual rate of neurodevelopment in youth and cognitive decline in the elderly, the regression model for these subcohorts has a low predictive performance. IES accounts for different cognitive subdomains and may reflect their disproportional changes throughout the lifespan. This encourages us to proceed to explore the combination of executive functioning and psychophysiological test results utilizing machine learning models. The latter can be designed as a reliable computer-aided detector of cognitive changes at early stages.


1983 ◽  
Vol 35 (2) ◽  
pp. 279-296 ◽  
Author(s):  
Charles E. Wright ◽  
David E. Meyer

A linear speed-accuracy trade-off has been found for rapid, precisely timed movements from a home position toward a target point. In this trade-off, We = K1 + K2(D/T), where D is the distance between the home position and the target, T is a pre-specified movement time, and We is the standard deviation of the distances actually moved. This result differs from Fitts' law, the commonly observed logarithmic trade-off in aimed movements. A new experiment with wrist rotations was performed to determine what conditions induce the linear trade-off rather than Fitts' law. Three types of condition are considered: movement brevity, feedback deprivation, and temporal precision. The experiment yielded a linear trade-off for precisely timed movements even when their durations significantly exceeded an amount of time (200 ms) sufficient to process visual feedback. This result suggests that the linearity does not depend on movement brevity and/or feedback deprivation per se. Instead it supports a temporal-precision hypothesis that the linear trade-off occurs when aimed movements must have precisely specified durations.


Assessment ◽  
2021 ◽  
pp. 107319112098560
Author(s):  
Tamar Bakun Emesh ◽  
Dror Garbi ◽  
Alon Kaplan ◽  
Hila Zelicha ◽  
Anat Yaskolka Meir ◽  
...  

Cognitive tasks borrowed from experimental psychology are often used to assess individual differences. A cardinal issue of this transition from experimental to correlational designs is reduced retest reliability of some well-established cognitive effects as well as speed–accuracy trade-off. The present study aimed to address these issues by examining the retest reliability of various methods for speed–accuracy integration and by comparing between two types of task modeling: difference scores and residual scores. Results from three studies on executive functions show that (a) integrated speed–accuracy scoring is generally more reliable as compared with nonintegrated methods: mean response time and accuracy; and (b) task modeling, especially residual scores, reduced reliability. We thus recommend integrating speed and accuracy, at least for measuring executive functions.


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