Motor-Model-Based Dynamic Scaling in Human–Computer Interfaces

Morgado, Muñoz; Casals, Alı́cia; Frigola, Manel; Amat, Josep

doi:10.1109/tsmcb.2010.2057423

Cited by 7 publications

(7 citation statements)

References 14 publications

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“…Recent research [2,3] is oriented to the design and development of methods conceived to improve effectiveness thanks to a larger visual and motor efficiency of the human-machine interface. These methods are based on the modification of the information flow between human, machine and interface by means of the scaling of both, the human movements and the image of the visualized task.…”

Section: Editorialmentioning

confidence: 99%

“…The same occurs with a change in the amplitude of the movement executed by the human operator with respect to that performed by the system. Therefore, scaling the movement between master and slave has a significant effect on the efficiency and effectiveness executing a task.Recent research [2,3] is oriented to the design and development of methods conceived to improve effectiveness thanks to a larger visual and motor efficiency of the human-machine interface. These methods are based on the modification of the information flow between human, machine and interface by means of the scaling of both, the human movements and the image of the visualized task.…”

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confidence: 99%

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Improving Ergonomics in Teleoperation

2014

J Ergonomics

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user interface, allows achieving the level of intelligence necessary to execute complex tasks that cannot be executed by machines or robots alone neither directly by humans. Human-Robot interaction techniques facilitate the execution of such tasks making them more efficient and effective through the improvement of their user interface.Humans have inherent motor limitations (such as physiological tremor) and perceptive limitations (mainly perception of distance and time), which can prevent them from operating smoothly and precisely enough for certain applications. Some studies have already tackled this problem and its effect on the human-machine interaction and teleoperated systems. There are psychomotor models that show that the human manipulation efficiency, in actions such as pointing an object, depends on several factors. Among these models, the most representative corresponds to Fitts' Law [1], in which the execution time is a logarithmic function of the size and distance to the object.In teleoperation, and based on these models, a modification of the visual scale in the user's interface has a direct effect on the task execution time and on the precision that can be achieved. The same occurs with a change in the amplitude of the movement executed by the human operator with respect to that performed by the system. Therefore, scaling the movement between master and slave has a significant effect on the efficiency and effectiveness executing a task.Recent research [2,3] is oriented to the design and development of methods conceived to improve effectiveness thanks to a larger visual and motor efficiency of the human-machine interface. These methods are based on the modification of the information flow between human, machine and interface by means of the scaling of both, the human movements and the image of the visualized task. Operation time, hand movements and the need for visual attention can thus be reduced with this computerized assistance. The changes of scale adapt to the task, which positively affects its performance in terms of precision, speed and ergonomics.Therefore, these methodology aims to link the human operator working space to the machine or robot working space through an interface that introduces two scaling processes. A first change of scale is applied between the movement produced by the human operator and the movement produced in the visual interface (for instance, movement of the robot end-effector that is visualized on the computer screen); and a second change oriented to scale the real space of the task over the visual space of the interface.These changes of scale should be adjusted to the objects of interest, which result in a modification of the spatial resolution according to the task to be performed and to the size, shape distance and speed of the objects. Such changes modify the information flow between human and machine according to the characteristics and limitations of both.

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Section: Editorialmentioning

confidence: 99%

mentioning

confidence: 99%

Improving Ergonomics in Teleoperation

2014

J Ergonomics

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“…Such aids are of special interest in microsurgery. In [12] we introduced a motor scaling method for use in a human computer interface, based on a motor behavior model. We demonstrated a reduction in operation time and in the number of errors with respect to a static scaling method in ballistic and tracing tasks.…”

Section: Tp=mentioning

confidence: 99%

Dynamic scaling interface for assisted teleoperation

Morgado

Casals

2012

2012 IEEE International Conference on Robotics and Automation

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Teleoperation, by adequately adapting computer interfaces, can benefit from the knowledge on human factors and psychomotor models in order to improve the effectiveness and efficiency in the execution of a task. While scaling is one of the performances frequently used in teleoperation tasks that require high precision, such as surgery, this article presents a scaling method that considers the system dynamics as well. The proposed dynamic scaling factor depends on the apparent position and velocity of the robot and targets. Such scaling improves the performance of teleoperation interfaces, thereby reducing user's workload.

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“…In order to develop usable products, learning and retention must be considered at the design stage. Psychomotor models [3], [4], [5] have been adopted to predict the completion time of performing specific tasks. The main movement-based tasks in a graphical user interface (GUI) are targeting, tracking, and targeted-tracking.…”

Section: Introductionmentioning

confidence: 99%

Targeted-Tracking With Pointing Devices

Senanayake

Goonetilleke

Hoffmann

2015

IEEE Trans. Human-Mach. Syst.

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Targeting and tracking in graphical user interfaces have been widely studied, but attempts to model targeted-tracking are few. Targeted-tracking is essentially a two component task of tracking followed by targeting, where either or both components may dominate depending on the levels of difficulty in each component. The applicability of an empirical model based on computer mouse use is unknown with respect to other devices. In order to confirm the model validity for other input devices, experiments were carried out using a mouse, a pen mouse, a touch screen, and a graphics tablet. Fourteen participants were tested on 48 experimental conditions that included four difficulty levels and 12 conditions with varying track width (P), track length (D), and target width (W). Movement time, error rate, index of performance, and throughput were compared. Repeated-measures ANOVA indicated that factors in the targeted-tracking model were significant (p < 0.05) and movement time data were a good fit (R 2 > 0.8) to the model, confirming the generality of the model. A principal component analysis showed that a mouse is relatively superior in terms of both movement time and error rate. Thus, the targetedtracking model is an effective way to compare and evaluate input devices.

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Motor-Model-Based Dynamic Scaling in Human–Computer Interfaces

Cited by 7 publications

References 14 publications

Improving Ergonomics in Teleoperation

Improving Ergonomics in Teleoperation

Dynamic scaling interface for assisted teleoperation

Targeted-Tracking With Pointing Devices

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