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Asymmetric Cooling and Heating Perception

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Haptics: Science, Technology, and Applications (EuroHaptics 2018)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10893))

Abstract

A series of experiments have been conducted to evaluate human thermal response to asymmetric thermal stimulation. It has been validated in previous studies that asymmetric thermal stimuli can create perceptions of heating or cooling while maintaining a constant average temperature applied to the skin. In this study we implemented three experimental procedures on the ventral forearm to evaluate asymmetric thermal stimulation. These experiments also examined several ways to collect perceptual thermal responses from subjects. Constant and asymmetric thermal pattern average temperatures were adjusted based on multiple aspects of thermal perception theories. Temporally optimized thermal patterns were implemented and resulted in counter-intuitive thermal perceptions. These results also demonstrated that the perceptual neutral point differs from the thermally neutral point on the skin.

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Author information

Authors and Affiliations

  1. Mechanical Engineering Department, University of South Florida, Tampa, USA

    Mehdi Hojatmadani & Kyle Reed

Authors
  1. Mehdi Hojatmadani
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  2. Kyle Reed
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Corresponding author

Correspondence to Kyle Reed .

Editor information

Editors and Affiliations

  1. University of Siena, Siena, Italy

    Domenico Prattichizzo

  2. University of Tokyo, Tokyo, Japan

    Hiroyuki Shinoda

  3. Purdue University, West Lafayette, Indiana, USA

    Hong Z. Tan

  4. Scuola Superiore Sant’Anna, Pisa, Italy

    Emanuele Ruffaldi

  5. Scuola Superiore Sant’Anna, Pisa, Italy

    Antonio Frisoli

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Hojatmadani, M., Reed, K. (2018). Asymmetric Cooling and Heating Perception. In: Prattichizzo, D., Shinoda, H., Tan, H., Ruffaldi, E., Frisoli, A. (eds) Haptics: Science, Technology, and Applications. EuroHaptics 2018. Lecture Notes in Computer Science(), vol 10893. Springer, Cham. https://doi.org/10.1007/978-3-319-93445-7_20

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  • DOI: https://doi.org/10.1007/978-3-319-93445-7_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93444-0

  • Online ISBN: 978-3-319-93445-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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