PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 4, 2026IEEE Transactions on Visualization and Computer Graphics1 citations

RippleVision: Unobtrusive Gaze-Dependent Guidance via Directed Wave Motion in Virtual Reality

View Full Paper
JKJérôme KudnickDMDaniel T. MayerCGColin Groth

Key Points

  • This research aims to develop and test RippleVision, a gaze guidance technique in virtual reality that uses wave-like ripples.
  • Developed RippleVision using wave-like ripples for gaze guidance.
  • Conducted a calibration study to establish thresholds for detectability and acceptability.
  • Performed a comparative user study against four existing guidance techniques.
  • RippleVision matched search times of visible techniques while reducing visual dominance.
  • It showed improved search performance as cue visibility increased.
  • Minimal impact on users' sense of visual obstruction and presence was observed.

Abstract

The inherent freedom of exploration in virtual reality poses a challenge for directing user attention toward relevant points or objects of interest, which are potentially located outside the user's field of view or are temporarily obscured. Accordingly, guidance must sustain users' perceptual focus while preserving the sense of presence. This paper presents RippleVision, a subtle gaze guidance technique using wave-like ripples that modulate brightness with inverted polarity between the eyes and appear only within a cone from the point of interest to the gaze location. A calibration study defined detectability and acceptability thresholds for the cues, followed by a comparative user study against four state-of-the-art techniques. Results show RippleVision achieves similar search times to clearly visible techniques while significantly reducing visual dominance. Moreover, its effectiveness scales with cue visibility, improving search performance with minimal impact on perceived visual obstruction and presence.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Kudnick et al. (2026) studied this question.

synapsesocial.com/papers/69d0ae68659487ece0fa471fhttps://doi.org/10.1109/tvcg.2026.3679882
Ask AI
Helpful
Bookmark
Share
View Full Paper