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Daniel T. Mayer

dblp:403/2128 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0009-0002-6833-4966ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Immersive interaction · 100%
Computer graphics and multimedia
1 paper
Virtual and augmented reality · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Immersive interaction › attention guidance
gaze guidance
1.012026
RippleVision: Unobtrusive Gaze-Dependent Guidance via Directed Wave Motion in Virtual Reality · IEEE Trans. Vis. Comput. Graph. 2026
Virtual and augmented reality
presence
0.312026
RippleVision: Unobtrusive Gaze-Dependent Guidance via Directed Wave Motion in Virtual Reality · IEEE Trans. Vis. Comput. Graph. 2026

Methods — techniques the papers use, named apart from their topics

user study · 2.0dichoptic wave-like ripples · 2.0calibration study · 2.0
YearPublicationVenuePosition
2026 RippleVision: Unobtrusive Gaze-Dependent Guidance via Directed Wave Motion in Virtual Reality
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.
Jérôme Kudnick, Daniel T. Mayer, Colin Groth, Bipul Mohanto, Ralf Dörner 0001, Martin Weier
IEEE Trans. Vis. Comput. Graph.2