---
_id: '10148'
abstract:
- lang: eng
  text: Tactile feedback of an object’s surface enables us to discern its material
    properties and affordances. This understanding is used in digital fabrication
    processes by creating objects with high-resolution surface variations to influence
    a user’s tactile perception. As the design of such surface haptics commonly relies
    on knowledge from real-life experiences, it is unclear how to adapt this information
    for digital design methods. In this work, we investigate replicating the haptics
    of real materials. Using an existing process for capturing an object’s microgeometry,
    we digitize and reproduce the stable surface information of a set of 15 fabric
    samples. In a psychophysical experiment, we evaluate the tactile qualities of
    our set of original samples and their replicas. From our results, we see that
    direct reproduction of surface variations is able to influence different psychophysical
    dimensions of the tactile perception of surface textures. While the fabrication
    process did not preserve all properties, our approach underlines that replication
    of surface microgeometries benefits fabrication methods in terms of haptic perception
    by covering a large range of tactile variations. Moreover, by changing the surface
    structure of a single fabricated material, its material perception can be influenced.
    We conclude by proposing strategies for capturing and reproducing digitized textures
    to better resemble the perceived haptics of the originals.
acknowledgement: Our gratitude goes out to Kamila Mushkina, Akhmajon Makhsadov, Jordan
  Espenshade, Bruno Fruchard, Roland Bennewitz, and Robert Drumm. This project has
  received funding from the EU’s Horizon 2020 research and innovation programme, under
  the Marie Skłodowska-Curie grant agreement No 642841 (DISTRO).
article_processing_charge: No
author:
- first_name: Donald
  full_name: Degraen, Donald
  last_name: Degraen
- first_name: Michael
  full_name: Piovarci, Michael
  id: 62E473F4-5C99-11EA-A40E-AF823DDC885E
  last_name: Piovarci
- first_name: Bernd
  full_name: Bickel, Bernd
  id: 49876194-F248-11E8-B48F-1D18A9856A87
  last_name: Bickel
  orcid: 0000-0001-6511-9385
- first_name: Antonio
  full_name: Kruger, Antonio
  last_name: Kruger
citation:
  ama: 'Degraen D, Piovarci M, Bickel B, Kruger A. Capturing tactile properties of
    real surfaces for haptic reproduction. In: <i>34th Annual ACM Symposium</i>. Association
    for Computing Machinery; 2021:954-971. doi:<a href="https://doi.org/10.1145/3472749.3474798">10.1145/3472749.3474798</a>'
  apa: 'Degraen, D., Piovarci, M., Bickel, B., &#38; Kruger, A. (2021). Capturing
    tactile properties of real surfaces for haptic reproduction. In <i>34th Annual
    ACM Symposium</i> (pp. 954–971). Virtual: Association for Computing Machinery.
    <a href="https://doi.org/10.1145/3472749.3474798">https://doi.org/10.1145/3472749.3474798</a>'
  chicago: Degraen, Donald, Michael Piovarci, Bernd Bickel, and Antonio Kruger. “Capturing
    Tactile Properties of Real Surfaces for Haptic Reproduction.” In <i>34th Annual
    ACM Symposium</i>, 954–71. Association for Computing Machinery, 2021. <a href="https://doi.org/10.1145/3472749.3474798">https://doi.org/10.1145/3472749.3474798</a>.
  ieee: D. Degraen, M. Piovarci, B. Bickel, and A. Kruger, “Capturing tactile properties
    of real surfaces for haptic reproduction,” in <i>34th Annual ACM Symposium</i>,
    Virtual, 2021, pp. 954–971.
  ista: 'Degraen D, Piovarci M, Bickel B, Kruger A. 2021. Capturing tactile properties
    of real surfaces for haptic reproduction. 34th Annual ACM Symposium. UIST: User
    Interface Software and Technology, 954–971.'
  mla: Degraen, Donald, et al. “Capturing Tactile Properties of Real Surfaces for
    Haptic Reproduction.” <i>34th Annual ACM Symposium</i>, Association for Computing
    Machinery, 2021, pp. 954–71, doi:<a href="https://doi.org/10.1145/3472749.3474798">10.1145/3472749.3474798</a>.
  short: D. Degraen, M. Piovarci, B. Bickel, A. Kruger, in:, 34th Annual ACM Symposium,
    Association for Computing Machinery, 2021, pp. 954–971.
conference:
  end_date: 2021-10-14
  location: Virtual
  name: 'UIST: User Interface Software and Technology'
  start_date: 2021-10-10
date_created: 2021-10-18T07:36:11Z
date_published: 2021-10-10T00:00:00Z
date_updated: 2021-10-19T19:29:06Z
day: '10'
ddc:
- '000'
department:
- _id: BeBi
doi: 10.1145/3472749.3474798
ec_funded: 1
file:
- access_level: open_access
  checksum: b0b26464df79b3a59e8ed82e4e19ab15
  content_type: application/pdf
  creator: bbickel
  date_created: 2021-10-18T07:36:03Z
  date_updated: 2021-10-18T07:36:03Z
  file_id: '10149'
  file_name: degraen-UIST2021_Texture_Appropriation_CR_preprint.pdf
  file_size: 29796364
  relation: main_file
file_date_updated: 2021-10-18T07:36:03Z
has_accepted_license: '1'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Preprint
page: 954-971
project:
- _id: 2508E324-B435-11E9-9278-68D0E5697425
  call_identifier: H2020
  grant_number: '642841'
  name: Distributed 3D Object Design
publication: 34th Annual ACM Symposium
publication_identifier:
  isbn:
  - 978-1-4503-8635-7
publication_status: published
publisher: Association for Computing Machinery
quality_controlled: '1'
status: public
title: Capturing tactile properties of real surfaces for haptic reproduction
type: conference
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2021'
...