Muscular load and performance compared between a pen and a computer mouse as input devices

Müller, Christian; Tomatis, Laura; Läubli, Thomas

doi:10.1016/j.ergon.2010.08.004

Cited by 25 publications

(17 citation statements)

References 31 publications

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“…Results of some studies have shown that learning effects and users' habits will affect task completion time and performance. [16] Müller et al [16] reported that speed and accuracy of the standard mouse were significantly better than those for the pen mouse. The results of the present study showed that speed and accuracy of trackpad ranked fourth among the devices studied.…”

Section: Discussionmentioning

confidence: 98%

“…Previous studies have shown that the standard mouse has a significantly better performance than any other new ergonomic mice. [16,17] According to Capener, [18] thumb, index and middle fingers form a prehensile tripod that could be used for precise activities. This was considered in the design of Ergomice so that it could be held between the flexed index and middle fingers and the thumb [19] ( Figure 2).…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Assessment of functional parameters and comfort of a new computer mouse as compared with other types of input devices

Dehghan

Choobineh

Razeghi

et al. 2015

International Journal of Occupational Safety and Ergonomics

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Section: Discussionmentioning

confidence: 98%

Section: Discussionmentioning

confidence: 99%

Assessment of functional parameters and comfort of a new computer mouse as compared with other types of input devices

Dehghan

Choobineh

Razeghi

et al. 2015

International Journal of Occupational Safety and Ergonomics

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show abstract

“…This correlates with the total energy expenditure of unit movement [6]. We are still in the process of fully validating this measure against electromyography (EMG).…”

Section: Biomechanical Simulationmentioning

confidence: 99%

Biomechanical simulation in the analysis of aimed movements

Bachynskyi

Oulasvirta

Palmas

et al. 2013

CHI '13 Extended Abstracts on Human Factors in Computing Systems

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Figure 1: Our approach uses biomechanical simulation to augment captured performance data with an index of fatigue. We exploit the power of commodity motion capture hardware and circumvent difficult and expensive measurements e.g. EMG, while still being able to jointly analyze performance and fatigue characteristics of movements. AbstractFor efficient design of gestural user interfaces both performance and fatigue characteristics of movements must be understood. We are developing a novel method that allows for biomechanical analysis in conjunction with performance analysis. We capture motion data using optical tracking from which we can compute performance measures such as speed and accuracy. The measured motion data also serves as input for a biomechanical simulation using inverse dynamics and static optimization on a full-body skeletal model. The simulation augments the data by biomechanical quantities from which we derive an index of fatigue. We are working on an interactive analysis tool that allows practitioners to identify and compare movements with desirable performance and fatigue properties. We show the applicability of our methodology using a case study of rapid aimed movements to targets covering the 3D movement space uniformly.

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“…nelle und/oder strukturelle Veränderungen des Bewegungssystems. So auch am Beispiel des Bildschirmarbeitsplatzes, bei dem nur geringe Krafteinsätze der Armmuskulatur vorliegen [4]. Jedoch können die immer wiederkehrend gleichen Bewegungsabläufe zu Störungen innerhalb der Bewegungsstereotype führen und damit muskuloskeletale Erkrankungen verursachen.…”

Section: Introductionunclassified

Messung der muskulären Beanspruchung mithilfe der Oberflächen-Elektromyographie bei verschiedenen PC Eingabegeräten – Vorstellung des Studiendesigns der Pilotstudie

Nisser

Derlien

Smolenski

et al. 2018

Phys Med Rehab Kuror

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Zusammenfassung Fragestellung Trotz ergonomischer Arbeitsmittel sind berufsbedingte muskuloskeletale Erkrankungen die häufigste Ursache für Arbeitsunfähigkeit. Anhand des Oberflächen-EMGs kann muskuläre Beanspruchung über Amplitudenwerte ermittelt werden. Um einen Teil der Arbeitsausfälle zu verhindern, stellt sich die Frage, ob sich die muskuläre Beanspruchung bei der Nutzung verschiedener PC-Eingabegeräte voneinander unterscheidet? Material und Methodik Es werden unterschiedliche PC-Eingabegeräte getestet, mit denen Probanden verschiedene Textverarbeitungsaufgaben ausführen müssen. Die Amplitude des OEMGs wird am M. extensor digitorum und am M. trapezius descendens gemessen. Zudem werden die Winkelgrade des Handgelenks von Supination und Extension über einen Goniometer erfasst. Zielstellung Es soll überprüft werden, ob ergonomische PC-Mäuse gegenüber gewöhnlichen PC Eingabegeräten geringere muskuläre Beanspruchung verursachen. Zudem soll durch den Einbezug der Sitzhaltung sowie der Handgelenksposition eine Einteilung der Arbeitsbeanspruchung vorgenommen werden.

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Muscular load and performance compared between a pen and a computer mouse as input devices

Cited by 25 publications

References 31 publications

Assessment of functional parameters and comfort of a new computer mouse as compared with other types of input devices

Assessment of functional parameters and comfort of a new computer mouse as compared with other types of input devices

Biomechanical simulation in the analysis of aimed movements

Messung der muskulären Beanspruchung mithilfe der Oberflächen-Elektromyographie bei verschiedenen PC Eingabegeräten – Vorstellung des Studiendesigns der Pilotstudie

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