© 2014

Multisensory Softness

Perceived Compliance from Multiple Sources of Information

  • Massimiliano Di Luca

Part of the Springer Series on Touch and Haptic Systems book series (SSTHS)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Perceptual Softness

    1. Front Matter
      Pages 1-1
    2. Wouter M. Bergmann Tiest, Astrid M.L. Kappers
      Pages 3-15
    3. Roberta L. Klatzky, Bing Wu
      Pages 17-30
    4. Yon Visell, Shogo Okamoto
      Pages 31-47
    5. Bruno L. Giordano, Federico Avanzini
      Pages 49-84
    6. Massimiliano Di Luca, Marc O. Ernst
      Pages 85-106
  3. Sensorimotor Softness

    1. Front Matter
      Pages 107-107
    2. Ilana Nisky, Raz Leib, Amit Milstein, Amir Karniel
      Pages 167-185
  4. Artificial Softness

    1. Front Matter
      Pages 187-187
    2. Netta Gurari, Allison M. Okamura
      Pages 189-217
    3. Matteo Bianchi, Alessandro Serio, Enzo Pasquale Scilingo, Antonio Bicchi
      Pages 219-240
    4. Seokhee Jeon, Seungmoon Choi, Matthias Harders
      Pages 241-257

About this book


Offers a unique multidisciplinary overview of how humans interact with soft objects and how multiple sensory signals are used to perceive material properties, with an emphasis on object deformability. The authors describe a range of setups that have been employed to study and exploit sensory signals involved in interactions with compliant objects as well as techniques to simulate and modulate softness – including a psychophysical perspective of the field.

Multisensory Softness focuses on the cognitive mechanisms underlying the use of multiple sources of information in softness perception. Divided into three sections, the first Perceptual Softness deals with the sensory components and computational requirements of softness perception, the second Sensorimotor Softness looks at the motor components of the interaction with soft objects and the final part Artificial Softness focuses on the identification of exploitable guidelines to help replicate softness in artificial environments.


Haptic Design Multisensory Perception Multisensory Softness Softness Perception

Editors and affiliations

  • Massimiliano Di Luca
    • 1
  1. 1.Centre for Computational Neuroscience and Cognitive RoboticsUniversity of BirminghamBirminghamUnited Kingdom

Bibliographic information

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