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Multimodal Augmented Reality - Augmenting Auditory-Tactile Feedback to Change the Perception of Thickness

  • Geert Lugtenberg
  • , Wolfgang Hürst*
  • , Nina Rosa
  • , Christian Sandor
  • , Alexander Plopski
  • , Takafumi Taketomi
  • , Hirokazu Kato
  • *Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

With vision being a primary sense of humans, we often first estimate the physical properties of objects by looking at them. However, when in doubt, for example, about the material they are made of or its structure, it is natural to apply other senses, such as haptics by touching them. Aiming at the ultimate goal of achieving a full-sensory augmented reality experience, we present an initial study focusing on multimodal feedback when tapping an object to estimate the thickness of its material. Our results indicate that we can change the perception of thickness of stiff objects by modulating acoustic stimuli. For flexible objects, which have a more distinctive tactile characteristic, adding vibratory responses when tapping on thick objects can make people perceive them as thin. We also identified that in the latter case, adding congruent acoustic stimuli does not further enhance the illusion but worsens it.
Original languageEnglish
Title of host publicationMultiMedia Modeling
Subtitle of host publication24th International Conference, MMM 2018, Proceedings, Part I
EditorsKlaus Schoeffmann, Thanarat H. Chalidabhongse, Wah Ngo Chong, Supavadee Aramvith, Noel E. O’Connor, Yo-Sung Ho, Moncef Gabbouj, Ahmed Elgammal
PublisherSpringer, Cham
Pages369-380
ISBN (Electronic)978-3-319-73603-7
ISBN (Print)978-3-319-73602-0
DOIs
Publication statusPublished - Feb 2018
Externally publishedYes
Event24th International Conference on MultiMedia Modeling, MMM 2018 - Bangkok, Thailand
Duration: 5 Feb 20187 Feb 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10704 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference24th International Conference on MultiMedia Modeling, MMM 2018
PlaceThailand
CityBangkok
Period5/02/187/02/18

Research Keywords

  • Augmented reality
  • Multimodal AR
  • Multimodal perception

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