Fitts' law is not continuous in reciprocal aiming

Huys, Raoul; Fernandez, Laure; Bootsma, Reinoud J.; Jirsa, Viktor K.

doi:10.1098/rspb.2009.1954

Cited by 46 publications

(93 citation statements)

References 22 publications

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“…In this case, the focus is geared towards trajectories in the Hooke's plane and/or phase space [11,15,16], and the identification of the dynamics as observable in the latter [17,18]. In that regard, deterministic, autonomous, and timecontinuous systems are unambiguously described by their flow in phase (or state) space (or vector field), i.e., the space spanned by the system's state variables [19].…”

Section: Introductionmentioning

confidence: 99%

Does changing Fitts’ index of difficulty evoke transitions in movement dynamics?

Huys

Knol

Sleimen-Malkoun

et al. 2015

EPJ Nonlinear Biomed Phys

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Background: The inverse relationship between movement speed and accuracy in goal-directed aiming is mostly investigated using the classic Fitts' paradigm. According to Fitts' law, movement time scales linearly with a single quantity, the index of difficulty (ID), which quantifies task difficulty through the quotient of target width and distance. Fitts' law remains silent, however, on how ID affects the dynamic and kinematic patterns (i.e., perceptual-motor system's organization) in goal-directed aiming, a question that is still partially answered only. Methods: Therefore, we here investigated the Fitts' task performed in a discrete as well as a cyclic task under seven IDs obtained either by scaling target width under constant amplitude or by scaling target distance under constant target width. Results: Under all experimental conditions Fitts' law approximately held. However, qualitative and quantitative dynamic as well as kinematic differences for a given ID were found in how the different task variants were performed. That is, while ID predicted movement time, its value in predicting movement organization appeared to be limited.

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Section: Introductionmentioning

confidence: 99%

Does changing Fitts’ index of difficulty evoke transitions in movement dynamics?

Huys

Knol

Sleimen-Malkoun

et al. 2015

EPJ Nonlinear Biomed Phys

Self Cite

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“…Fitts's law is an emergent property rather than a description of the motor system operation. This is discussed by Bootsma et al [17] and Huys et al [18]. Both sets of authors demonstrate that by observing the patterns of motion directly under different conditions, Fitts's law is a good summary of complex motor processes.…”

Section: Fitts's Lawmentioning

confidence: 91%

“…We deviated by asking users to make discrete movements, rather than repeated rhythmic movements. This is because the motor system behaves differently during these two types of motion [18], [12]. Further, the seminal works using Fitts's law to investigate latency, such as that of MacKenzie & Ware [4], use discrete tasks.…”

Section: Methodsmentioning

confidence: 99%

The Effects of Low Latency on Pointing and Steering Tasks

Friston

Karlstrm

Steed

2016

IEEE Trans. Visual. Comput. Graphics

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Abstract-Latency is detrimental to interactive systems, especially pseudo-physical systems that emulate real-world behaviour. It prevents users from making quick corrections to their movement, and causes their experience to deviate from their expectations. Latency is a result of the processing and transport delays inherent in current computer systems. As such, while a number of studies have hypothesized that any latency will have a degrading effect, few have been able to test this for latencies less than ∼50 ms. In this study we investigate the effects of latency on pointing and steering tasks. We design an apparatus with a latency lower than typical interactive systems, using it to perform interaction tasks based on Fitts's law and the Steering law. We find evidence that latency begins to affect performance at ∼16 ms, and that the effect is non-linear. Further, we find latency does not affect the various components of an aiming motion equally. We propose a three stage characterisation of pointing movements with each stage affected independently by latency. We suggest that understanding how users execute movement is essential for studying latency at low levels, as high level metrics such as total movement time may be misleading.

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“…Moreover these classes of equivalence point to classes of models which could reproduce the observations. Recently these tools enabled the identification of primitives belonging respectively to the class of discrete and continuous movements in simple periodic movement (Huys et al, 2008), and in a reciprocal pointing task (Huys et al, 2010). …”

Section: The Case For Topological Equivalencementioning

confidence: 99%

Challenges for the understanding of the dynamics of social coordination

Lagarde

2013

Front. Neurorobot.

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The way people interact can be examined by looking at the way they move relative to each other. Seeking the principles behind those interactions have consequences potentially related to any type of interpersonal function, far beyond the so-called “motor” processes typically associated with the study of movements, be it perceptive, cognitive, affective, pragmatic, or epistemic. Here, we present the way the framework of coordination dynamics define and addresses the interactive actions in a dyad. We first introduce the basics of pattern formation as the roots of the theoretical approach of coordination dynamics, and then the way this framework may contribute to establish a solution to classify behaviors. Thereafter we review promising empirical results on the dynamics of interpersonal coordination, and finally discuss were to go next to decipher the way the coordination between two people and the way each individual contribute may be disentangled.

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Fitts' law is not continuous in reciprocal aiming

Cited by 46 publications

References 22 publications

Does changing Fitts’ index of difficulty evoke transitions in movement dynamics?

Does changing Fitts’ index of difficulty evoke transitions in movement dynamics?

The Effects of Low Latency on Pointing and Steering Tasks

Challenges for the understanding of the dynamics of social coordination

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