Literature DB >> 25875439

Psychophysical evaluation of haptic perception under augmentation by a handheld device.

Bing Wu1, Roberta Klatzky2, Randy Lee3, Vikas Shivaprabhu3, John Galeotti2, Mel Siegel2, Joel S Schuman3, Ralph Hollis2, George Stetten3.   

Abstract

OBJECTIVE: This study investigated the effectiveness of force augmentation in haptic perception tasks.
BACKGROUND: Considerable engineering effort has been devoted to developing force augmented reality (AR) systems to assist users in delicate procedures like microsurgery. In contrast, far less has been done to characterize the behavioral outcomes of these systems, and no research has systematically examined the impact of sensory and perceptual processes on force augmentation effectiveness.
METHOD: Using a handheld force magnifier as an exemplar haptic AR, we conducted three experiments to characterize its utility in the perception of force and stiffness. Experiments 1 and 2 measured, respectively, the user's ability to detect and differentiate weak force (<0.5 N) with or without the assistance of the device and compared it to direct perception. Experiment 3 examined the perception of stiffness through the force augmentation.
RESULTS: The user's ability to detect and differentiate small forces was significantly improved by augmentation at both threshold and suprathreshold levels. The augmentation also enhanced stiffness perception. However, although perception of augmented forces matches that of the physical equivalent for weak forces, it falls off with increasing intensity.
CONCLUSION: The loss in the effectiveness reflects the nature of sensory and perceptual processing. Such perceptual limitations should be taken into consideration in the design and development of haptic AR systems to maximize utility. APPLICATION: The findings provide useful information for building effective haptic AR systems, particularly for use in microsurgery.
© 2014, Human Factors and Ergonomics Society.

Entities:  

Keywords:  augmented reality; force perception; haptic interfaces; perceptual effectiveness; stiffness perception

Mesh:

Year:  2014        PMID: 25875439      PMCID: PMC4480420          DOI: 10.1177/0018720814551414

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


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  2 in total

1.  A recursive Bayesian updating model of haptic stiffness perception.

Authors:  Bing Wu; Roberta L Klatzky
Journal:  J Exp Psychol Hum Percept Perform       Date:  2018-05-03       Impact factor: 3.332

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Authors:  Randy Lee; Roberta L Klatzky; George D Stetten
Journal:  IEEE Trans Haptics       Date:  2017-04-21       Impact factor: 2.487

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