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Haptipedia: Accelerating Haptic Device Discovery to Support Interaction & Engineering Design

2019

Conference Paper

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Creating haptic experiences often entails inventing, modifying, or selecting specialized hardware. However, experience designers are rarely engineers, and 30 years of haptic inventions are buried in a fragmented literature that describes devices mechanically rather than by potential purpose. We conceived of Haptipedia to unlock this trove of examples: Haptipedia presents a device corpus for exploration through metadata that matter to both device and experience designers. It is a taxonomy of device attributes that go beyond physical description to capture potential utility, applied to a growing database of 105 grounded force-feedback devices, and accessed through a public visualization that links utility to morphology. Haptipedia's design was driven by both systematic review of the haptic device literature and rich input from diverse haptic designers. We describe Haptipedia's reception (including hopes it will redefine device reporting standards) and our plans for its sustainability through community participation.

Author(s): Hasti Seifi and Farimah Fazlollahi and Michael Oppermann and John A. Sastrillo and Jessica Ip and Ashutosh Agrawal and Gunhyuk Park and Katherine J. Kuchenbecker and Karon E. MacLean
Book Title: Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI)
Pages: 1--12
Year: 2019
Month: May

Department(s): Haptic Intelligence
Research Project(s): Haptipedia
Bibtex Type: Conference Paper (inproceedings)
Paper Type: Conference

DOI: 10.1145/3290605.3300788

Address: Glasgow, Scotland

BibTex

@inproceedings{Seifi19-CHI-Haptipedia,
  title = {Haptipedia: Accelerating Haptic Device Discovery to Support Interaction & Engineering Design},
  author = {Seifi, Hasti and Fazlollahi, Farimah and Oppermann, Michael and Sastrillo, John A. and Ip, Jessica and Agrawal, Ashutosh and Park, Gunhyuk and Kuchenbecker, Katherine J. and MacLean, Karon E.},
  booktitle = {Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI)},
  pages = {1--12},
  address = {Glasgow, Scotland},
  month = may,
  year = {2019},
  doi = {10.1145/3290605.3300788},
  month_numeric = {5}
}