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David Eibich

dblp:247/4011 · also Tom David Eibich · DBLP profile ↗
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4ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0003-4309-9904ORCID · corroborated

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

Graphics, computer vision, multimedia, augmented reality and games · 4 · 1 since 2021Human-computer interaction and ubiquitous computing · 2

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
4 papers
Haptics and multimodal interaction · 44% Immersive interaction · 36% User interface design and tools · 12%
Computer graphics and multimedia
2 papers
Virtual and augmented reality · 100%

Topics — the 6 heaviest of 10, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Virtual and augmented reality
augmented reality
1.022022
Multisensory Proximity and Transition Cues for Improving Target Awareness in Narrow Field of View Augmented Reality Displays · IEEE Trans. Vis. Comput. Graph. 2022
Comparing Non-Visual and Visual Guidance Methods for Narrow Field of View Augmented Reality Displays · IEEE Trans. Vis. Comput. Graph. 2020
Immersive interaction
augmented reality
0.822019
The Effect of Narrow Field of View and Information Density on Visual Search Performance in Augmented Reality · VR 2019
Non-Visual Cues for View Management in Narrow Field of View Augmented Reality Displays · ISMAR 2019
Haptics and multimodal interaction › multimodal feedback
audio-haptic feedback
0.412019
Non-Visual Cues for View Management in Narrow Field of View Augmented Reality Displays · ISMAR 2019
Immersive interaction › see-through display
optical see-through display
0.412019
The Effect of Narrow Field of View and Information Density on Visual Search Performance in Augmented Reality · VR 2019
User interface design and tools › visualization
view management
0.412019
Non-Visual Cues for View Management in Narrow Field of View Augmented Reality Displays · ISMAR 2019
Human-robot interaction › cognitive human-robot interaction
situational awareness
0.112020
Comparing Non-Visual and Visual Guidance Methods for Narrow Field of View Augmented Reality Displays · IEEE Trans. Vis. Comput. Graph. 2020

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

user study · 2.4vibrotactile feedback · 0.4field of view simulation · 0.4audio feedback · 0.4
YearPublicationVenuePosition
2022 Multisensory Proximity and Transition Cues for Improving Target Awareness in Narrow Field of View Augmented Reality Displays
abstract
Augmented reality applications allow users to enrich their real surroundings with additional digital content. However, due to the limited field of view of augmented reality devices, it can sometimes be difficult to become aware of newly emerging information inside or outside the field of view. Typical visual conflicts like clutter and occlusion of augmentations occur and can be further aggravated especially in the context of dense information spaces. In this article, we evaluate how multisensory cue combinations can improve the awareness for moving out-of-view objects in narrow field of view augmented reality displays. We distinguish between proximity and transition cues in either visual, auditory or tactile manner. Proximity cues are intended to enhance spatial awareness of approaching out-of-view objects while transition cues inform the user that the object just entered the field of view. In study 1, user preference was determined for 6 different cue combinations via forced-choice decisions. In study 2, the 3 most preferred modes were then evaluated with respect to performance and awareness measures in a divided attention reaction task. Both studies were conducted under varying noise levels. We show that on average the Visual-Tactile combination leads to 63% and Audio-Tactile to 65% faster reactions to incoming out-of-view augmentations than their Visual-Audio counterpart, indicating a high usefulness of tactile transition cues. We further show a detrimental effect of visual and audio noise on performance when feedback included visual proximity cues. Based on these results, we make recommendations to determine which cue combination is appropriate for which application.
Christina Trepkowski, Alexander Marquardt, David Eibich, Yusuke Shikanai, Jens Maiero, Kiyoshi Kiyokawa, Ernst Kruijff, Johannes Schöning, Peter König
IEEE Trans. Vis. Comput. Graph.3
2020 Comparing Non-Visual and Visual Guidance Methods for Narrow Field of View Augmented Reality Displays
abstract
Current augmented reality displays still have a very limited field of view compared to the human vision. In order to localize out-of-view objects, researchers have predominantly explored visual guidance approaches to visualize information in the limited (in-view) screen space. Unfortunately, visual conflicts like cluttering or occlusion of information often arise, which can lead to search performance issues and a decreased awareness about the physical environment. In this paper, we compare an innovative non-visual guidance approach based on audio-tactile cues with the state-of-the-art visual guidance technique EyeSee360 for localizing out-of-view objects in augmented reality displays with limited field of view. In our user study, we evaluate both guidance methods in terms of search performance and situation awareness. We show that although audio-tactile guidance is generally slower than the well-performing EyeSee360 in terms of search times, it is on a par regarding the hit rate. Even more so, the audio-tactile method provides a significant improvement in situation awareness compared to the visual approach.
Alexander Marquardt, Christina Trepkowski, David Eibich, Jens Maiero, Ernst Kruijff, Johannes Schöning
IEEE Trans. Vis. Comput. Graph.3
2019 Non-Visual Cues for View Management in Narrow Field of View Augmented Reality Displays
abstract
Head-worn devices with a narrow field of view are common commodity for Augmented Reality. However, their limited screen space makes view management difficult. Especially in dense information spaces this potentially leads to visual conflicts such as overlapping labels (occlusion) and visual clutter. In this paper, we look into the potential of using audio and vibrotactile feedback to guide search and information localization. Our results indicate users can be guided with high accuracy using audio-tactile feedback with maximum median deviations of only 2° on longitude, 3.6° on latitude and 0.07 meter in depth. Regarding the encoding of latitude we found a superior performance when using audio, resulting in an improvement of 61% and fastest search times. When interpreting localization cues the maximum median deviation was 9.9° on longitude and 18% of a selected distance to be encoded which could be reduced to 14% when using audio.
Alexander Marquardt, Christina Trepkowski, David Eibich, Jens Maiero, Ernst Kruijff
ISMAR3
2019 The Effect of Narrow Field of View and Information Density on Visual Search Performance in Augmented Reality
abstract
Many optical-see-through displays have a relatively narrow field of view. However, a limited field of view can constrain how information can be presented and searched through. To understand these constraints, we present a series of experiments that address the interrelationships between field of view, information density, and search performance. We do so by simulating various fields of view using two approaches: limiting the field of view presented on a Microsoft HoloLens optical-see-through head-worn display and dynamically changing the portion of a large tiled-display wall on which information is presented, for head-tracked users in both cases. Our results indicate a significant effect of information density and field of view on search performance, with potential search performance benefits of using a larger FOV between ca. 7-28%. Furthermore, while grids guided visual search, they did not significantly affect performance.
Christina Trepkowski, David Eibich, Jens Maiero, Alexander Marquardt, Ernst Kruijff, Steven K. Feiner
VR2