Monocular and Binocular Vision in the Control of Goal-Directed Movement

Coull, Jamie; Weir, Patricia L.; Tremblay, Luc; Weeks, Daniel J.; Elliott, Digby

doi:10.1080/00222890009601385

Cited by 29 publications

(24 citation statements)

References 22 publications

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“…combine to provide sufficient information to perform goal-directed aiming similar to that exhibited in normal conditions of binocular vision (Jackson et al, 1997;Watt and Bradshaw, 2000). In a series of studies by our group, we have shown that this is particularly true if the object-of-interest is located at a predictable location and the movement is performed under full vision conditions (Coull et al, 2000). The availability of information throughout the movement, combined with tactile feedback upon movement completion, enables the participant to develop an effective internal model and online control over repeated trials.…”

Section: Controlmentioning

confidence: 79%

The multiple process model of goal-directed reaching revisited

Elliott

Lyons

Hayes

et al. 2017

Neuroscience & Biobehavioral Reviews

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110

109

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Recently our group forwarded a model of speed-accuracy relations in goal-directed reaching. A fundamental feature of our multiple process model was the distinction between two types of online regulation: impulse control and limb-target control. Impulse control begins during the initial stages of the movement trajectory and involves a comparison of actual limb velocity and direction to an internal representation of expectations about the limb trajectory. Limb-target control involves discrete error-reduction based on the relative positions of the limb and the target late in the movement. Our model also considers the role of eye movements, practice, energy optimization and strategic behavior in limb control. Here, we review recent work conducted to test specific aspects of our model. As well, we consider research not fully incorporated into our earlier contribution. We conclude that a slightly modified and expanded version of our model, that includes crosstalk between the two forms of online regulation, does an excellent job of explaining speed, accuracy, and energy optimization in goal-directed reaching.

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Section: Controlmentioning

confidence: 79%

The multiple process model of goal-directed reaching revisited

Elliott

Lyons

Hayes

et al. 2017

Neuroscience & Biobehavioral Reviews

Self Cite

110

109

View full text Add to dashboard Cite

show abstract

“…The significant difference between the 2‐D and 3‐D displays may also be associated with the task used in the present study. A review of the cognitive literature revealed that verbal judgement tasks (e.g., distance estimation and elevation estimation) were not sensible to the 2‐D and 3‐D displays, while the differences between 2‐D and 3‐D displays were usually observed in tasks that required motor action (Coull, Weir, Tremblay, Weeks, & Elliott, ; Marotta & Goodale, ; Marotta, Perrot, Nicolle, Servos, & Goodale, 1995). In our study, the participants were required to handle the control marker to catch the target; thus, the tracking performance with the 3‐D display (relative to 2‐D the display) significantly decreased, as shown by the longer tracking times and increased tracking errors.…”

Section: Discussionmentioning

confidence: 99%

“…Marotta and Goodale () found that, when binocular information is unavailable, subjects could use the learned relationship between an object's elevation and its distance as a cue to guide their grasping movements. Recent research has also shown that individuals are able to perform equally well under monocular vision (Coull et al, ; Servos & Goodale, ). In fact, experts could develop cognitive mechanisms to compensate for the loss of depth perception in the 2‐D view.…”

Section: Discussionmentioning

confidence: 99%

“…For example, experts who interact with 2‐D images daily can learn to accurately use monocular cues to guide their actions (Blavier & Nyssen, ). Nevertheless, future studies should adopt binocular cues in the tracking display format in 3‐D space because monocular cues do not reproduce a real 3‐D situation, and because binocular vision is very important for movements in complex environments (Jackson, Jones, Newport, & Pritchard, ) and when online feedback and knowledge of results are unavailable (Coull et al, ). Furthermore, the virtual reality technology could be used to investigate the tracking format in real 3‐D space.…”

Section: Discussionmentioning

confidence: 99%

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Providing depth information in the display for pursuit and compensatory tracking and optimization in 3‐D space

Liu

Sun

et al. 2017

Australian Journal of Psychology

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Objective: The formats of tracking displays exert important influences on tracking performance. Few previous studies explored the 3-D tracking display formats. The present study aimed to construct the 3-D formats for the manual pursuit and compensatory tracking displays by adding the depth information. Based on the results of tracking performance, we further optimized the preferable tracking format. Method: Three experiments were conducted. Experiment 1 was a confirmatory experiment to compare the effects of the two display formats on 2-D manual tracking performance with previous studies. Experiment 2 extended the investigation to a 3-D display by adding a depth cue indicating the relative size of the control marker and target. Experiment 3 was an optimisation experiment in which an improved 3-D tracking display was modified, i.e., an extra depth cue was complemented to clearly signify the relative position of the target and the control marker. Results: Pursuit tracking performance was better than compensatory tracking performance in both 2-D (Experiment 1) and 3-D space (Experiment 2). It also found that the extra depth cue significantly improved the tracking success rate and the subjective satisfaction of the pursuit display format in 3-D space (Experiment 3). Conclusions: These findings indicated that the depth cues could be used in tracking display in 3-D space and have important implications for the design of some motor training and tracking systems.What is already known about this topic?1. The formats of tracking displays exert important influences on tracking performance in 2-D space. 2. Pursuit tracking is considered superior to compensatory tracking in 2-D space. 3. The addition of depth cues was assumed to improve the tracking performance in 3-D space.

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“…Several studies show that adult reaching is largely uninfluenced by monocular viewing conditions (Coull et al 2000; Heat et al 2008). Monocular viewing leads to increased spatial variance, which in turn gives rise to longer movement durations (Loftus et al 2004; Marotta et al 1995).…”

Section: Introductionmentioning

confidence: 99%

Dynamic reaching in infants during binocular and monocular viewing

et al. 2013

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This study examined reaching in 6-, 8-, and 10-month-olds during binocular and monocular viewing in a dynamic reaching situation. Infants were rotated toward a flat vertical board and reached for objects at one of seven positions along a horizontal line at shoulder height. Hand selection, time to contact the object, and reaching accuracy were examined in both viewing conditions. Hand selection was strongly dependent on object location, not infants’ age or whether one eye was covered. Monocular viewing and age did, however, affect time to object contact and contact errors: Infants showed longer contact times when one eye was covered, and 6-month-olds made more contact errors in the monocular condition. For right hand selection, contact times were longer when the covered right eye was leading during the chair rotation. For left hand selection, there were no differences in contact time due to whether the covered eye was leading during rotation.

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Monocular and Binocular Vision in the Control of Goal-Directed Movement

Cited by 29 publications

References 22 publications

The multiple process model of goal-directed reaching revisited

The multiple process model of goal-directed reaching revisited

Providing depth information in the display for pursuit and compensatory tracking and optimization in 3‐D space

Dynamic reaching in infants during binocular and monocular viewing

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