The DOI matches its Crossref record.
Phantom-based haptic interaction with virtual objects
Abstract
In 1993, haptic interaction with computers took a significant step forward with the development of the Phantom haptic interface. This simple device has spawned a new field analogous to computer graphics-computer haptics-defined as the discipline concerned with the techniques and processes associated with generating and displaying synthesized haptic stimuli to the human user. Inspired by the authors' previous work in interpreting robot touch sensor information and study of human touch perception, the Phantom interface permits users to feel the forces of interaction they would encounter while touching objects with the end of a stylus or the tip of their finger. The resulting sensations prove startling, and many first-time users are quite surprised at the compelling sense of physical presence they encounter when touching virtual objects. To appreciate why the Phantom system succeeded where others failed, you need to understand the nature and functioning of the human haptic system.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
From presence to consciousness through virtual reality.
Sanchez-Vives, M. V., & Slater, M. (2005) · Nature reviews. Neuroscience · doi:10.1038/nrn1651 · Cited by 1,831
Augmented visual, auditory, haptic, and multimodal feedback in motor learning: A review
Sigrist, R., Rauter, G., Riener, R., & Wolf, P. (2013) · Psychonomic Bulletin & Review · doi:10.3758/s13423-012-0333-8 · Cited by 1,416
The design and testing of a force feedback dental simulator
Thomas, G., Johnson, L., Dow, S., & Stanford, C. (2001) · Computer Methods and Programs in Biomedicine · doi:10.1016/s0169-2607(00)00089-4 · Cited by 73
Creating accessible online floor plans for visually impaired readers
Madugalla, A., Marriott, K., Marinai, S., Capobianco, S., & Goncu, C. (2020) · ACM Transactions on Accessible Computing · doi:10.1145/3410446 · Cited by 17
Metadata
- Authors
- Salisbury, J. K., & Srinivasan, M. A.
- Venue
- IEEE Computer Graphics and Applications
- Published
- 1997-09
- Volume
- 17
- Issue
- 5
- Pages
- 6-10
- ISSN
- 0272-1716 (ISSN-L)
- OpenAlex
- W2168120373
- Cited by
- 230
- References
- 0
- FWCI
- 17.28
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Phantom-based haptic interaction with virtual objects. https://app.cochat.ai/papers/10.1109/mcg.1997.1626171
- The paper
- Salisbury, J. K., & Srinivasan, M. A. (1997). Phantom-based haptic interaction with virtual objects. IEEE Computer Graphics and Applications. https://doi.org/10.1109/mcg.1997.1626171
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.