pith. the verified trust layer for science. sign in

Feel effects: enriching storytelling with haptic feedback

1 Pith paper cite this work. Polarity classification is still indexing.

1 Pith paper citing it

citation-role summary

background 1

citation-polarity summary

fields

cs.HC 1

years

2026 1

verdicts

UNVERDICTED 1

roles

background 1

polarities

background 1

representative citing papers

HapticLDM: A Diffusion Model for Text-to-Vibrotactile Generation

cs.HC · 2026-05-11 · unverdicted · novelty 7.0

HapticLDM is the first latent diffusion model that generates vibrotactile signals directly from text, using dynamic text curation and global denoising to improve realism and semantic alignment over autoregressive baselines.

citing papers explorer

Showing 1 of 1 citing paper.

  • HapticLDM: A Diffusion Model for Text-to-Vibrotactile Generation cs.HC · 2026-05-11 · unverdicted · none · ref 34

    HapticLDM is the first latent diffusion model that generates vibrotactile signals directly from text, using dynamic text curation and global denoising to improve realism and semantic alignment over autoregressive baselines.