Cited by 122Assistive Technology in Communication and MobilityTactile and Sensory InteractionsDigital Accessibility for Disabilities

Facade: Auto-generating Tactile Interfaces to Appliances

Guo, Anhong, Kim, Jeeeun, Chen, Xiang 'Anthony', Yeh, Tom, Hudson, Scott E., Mankoff, Jennifer, Bigham, Jeffrey P.·2017·Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems

Abstract

Common appliances have shifted toward flat interface panels, making them inaccessible to blind people. Although blind people can label appliances with Braille stickers, doing so generally requires sighted assistance to identify the original functions and apply the labels. We introduce Facade - a crowdsourced fabrication pipeline to help blind people independently make physical interfaces accessible by adding a 3D printed augmentation of tactile buttons overlaying the original panel. Facade users capture a photo of the appliance with a readily available fiducial marker (a dollar bill) for recovering size information. This image is sent to multiple crowd workers, who work in parallel to quickly label and describe elements of the interface. Facade then generates a 3D model for a layer of tactile and pressable buttons that fits over the original controls. Finally, a home 3D printer or commercial service fabricates the layer, which is then aligned and attached to the interface by the blind person. We demonstrate the viability of Facade in a study with 11 blind participants.

Integrity signals

Registry

Crossref · 10.1145/3025453.3025845

Cites

44 of 44 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Guo, A., Kim, J., Chen, X. '., Yeh, T., Hudson, S. E., Mankoff, J., & Bigham, J. P.
Affiliations
  • Carnegie Mellon University (US)
  • University of Colorado Boulder (US)
Venue
Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2017-05-02
Pages
5826-5838
OpenAlex
W2610299746
Cited by
122
References
44
Citations by year
2026: 2 · 2025: 4 · 2024: 54 · 2023: 9 · 2022: 10 · 2021: 8 · 2020: 4 · 2019: 10 · 2018: 16 · 2017: 5
FWCI
26.30
Type
conference paper
Language
en
Open access
closed
Locations
CHI Conference on Human Factors in Computing Systems (publishedVersion)
Funders
  • National Science Foundation
  • National Institute on Disability, Independent Living, and Rehabilitation Research
  • Google
Topics
  • Health Sciences › Health Professions › Occupational Therapy › Assistive Technology in Communication and Mobility
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
  • Social Sciences › Human Factors and Ergonomics › Digital Accessibility for Disabilities
Keywords
fiducial markers, 3D model reconstruction, assistive technology, home 3D printing

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review