Quantifying perception of nonlinear elastic tissue models using multidimensional scaling

Misra, Sarthak; Fuernstahl, Philipp; Ramesh, K.T.; Okamura, Allison M.; Harders, Matthias

doi:10.1109/whc.2009.4810874

Cited by 5 publications

(6 citation statements)

References 19 publications

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“…More recently, MDS was used by Cooke et al [2006; to investigate shape and texture perception of rigid objects. The experiments most similar to ours are [Leškowský et al 2006;Misra et al 2009]. Leškowský et al [2006] used MDS to investigate the difference between real and virtual compliant objects.…”

Section: Perceptual Space Of Compliancementioning

confidence: 71%

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An interaction-aware, perceptual model for non-linear elastic objects

Piovarči

Levin

Rebello³

et al. 2016

ACM Trans. Graph.

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Force-displacement Force histogramPhysically based simulation Stiff Soft Figure 1: 3D printing allows us to print objects with varying deformation properties. The question that we want to answer is: Given a set of printing materials and a 3D object with desired elasticity properties, which material should be used to print the object? For example, given sample ducks (left) with desired elasticity properties (e.g., measured), our system considers several candidate materials that can be used for replicating the ducks (right), and chooses materials that will best match compliance properties when examined by an observer (red and green outlines). Moreover, we can sort all possible materials by their perceived compliance as predicted by our model. The measured compliance is indicated with colors ranging from stiff (blue) to soft (red). AbstractEveryone, from a shopper buying shoes to a doctor palpating a growth, uses their sense of touch to learn about the world. 3D printing is a powerful technology because it gives us the ability to control the haptic impression an object creates. This is critical for both replicating existing, real-world constructs and designing novel ones. However, each 3D printer has different capabilities and supports different materials, leaving us to ask: How can we best replicate a given haptic result on a particular output device? In this work, we address the problem of mapping a real-world material to its nearest 3D printable counterpart by constructing a perceptual model for the compliance of nonlinearly elastic objects. We begin by building a perceptual space from experimentally obtained user comparisons of twelve 3D-printed metamaterials. By comparing this space to a number of hypothetical computational models, we identify those that can be used to accurately and efficiently evaluate human-perceived differences in nonlinear stiffness. Furthermore, we demonstrate how such models can be applied to complex geometries in an interaction-aware way where the compliance is influenced not only by the material properties from which the object is made but also its geometry. We demonstrate several applications of our method in the context of fabrication and evaluate them in a series of user experiments.

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Section: Perceptual Space Of Compliancementioning

confidence: 71%

“…However, when virtual samples are added, two dimensions are required. Misra et al [2009] used MDS to quantify the role of the Poynting effect (i.e., a presence of normal forces during shearing) on material perception.…”

Section: Perceptual Space Of Compliancementioning

confidence: 99%

An interaction-aware, perceptual model for non-linear elastic objects

Piovarči

Levin

Rebello³

et al. 2016

ACM Trans. Graph.

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“…We showed significant Poynting effect for myocardial tissue but not for Sylgard gel, based on the absolute human perception threshold for force discrimination published in the psychophysics literature. Further, Misra et al (2009) performed psychophysical experiments to quantify the role of the Poynting effect on material discrimination. Research participants interacted with virtual nonlinear elastic tissue models via a haptic device (Figure 1).…”

Section: Discussionmentioning

confidence: 99%

“…The Delta haptic device (Force Dimension, Nyon, Switzerland) used for psychophysical experiments presented by Misra et al (2009). As the user interacts with the nonlinear elastic virtual model and moves the device, normal ( F normal ) and shear ( F shear ) forces are generated due to the Poynting effect.…”

Section: Figuresmentioning

confidence: 99%

Modelling of non-linear elastic tissues for surgical simulation

Misra

Ramesh

Okamura

2010

Computer Methods in Biomechanics and Biomedical Engineering

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Realistic modeling of the interaction between surgical instruments and human organs has been recognized as a key requirement in the development of high-fidelity surgical simulators. Primarily due to computational considerations, most of the past real-time surgical simulation research has assumed linear elastic behavior for modeling tissues, even though human soft tissues generally possess nonlinear properties. For a nonlinear model, the well-known Poynting effect developed during shearing of the tissue results in normal forces not seen in a linear elastic model. Using constitutive equations of nonlinear tissue models together with experiments, we show that the Poynting effect results in differences in force magnitude larger than the absolute human perception threshold for force discrimination in some tissues (e.g. myocardial tissues) but not in others (e.g. brain tissue simulants).

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“…In addition, most soft tissues are also known to show nonlinear behaviour, but to the authors' knowledge there has been very little work on the perception of nonlinearity in stiffness. In [6] the perception of nonlinearity and in [8] the effects of shear and normal forces of nonlinear tissues on perception were explored. In neither of these studies, however, was the JND explored.…”

Section: Dp-discontinuous Pressure Comparisonmentioning

confidence: 99%

Analysis of the JND of Stiffness in Three Modes of Comparison

Koçak

Palmerius

Forsell

et al. 2011

Lecture Notes in Computer Science

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Abstract. Understanding and explaining perception of touch is a nontrivial task. Even seemingly trivial differences in exploration may potentially have a significant impact on perception and levels of discrimination. In this study, we explore different aspects of contact related to stiffness perception and their effects on the just noticeable difference (JND) of stiffness are surveyed. An experiment has been performed on nondeformable, compliant objects in a virtual environment with three different types of contact: Discontinuous pressure, continuous pressure and continuous lateral motion. The result shows a significantly better discrimination performance in the case of continuous pressure (a special case of nonlinearity), which can be explained by the concept of haptic memory. Moreover, it is found that the perception is worse for the changes that occur along the lateral axis than the normal axis.

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Quantifying perception of nonlinear elastic tissue models using multidimensional scaling

Cited by 5 publications

References 19 publications

An interaction-aware, perceptual model for non-linear elastic objects

An interaction-aware, perceptual model for non-linear elastic objects

Modelling of non-linear elastic tissues for surgical simulation

Analysis of the JND of Stiffness in Three Modes of Comparison

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