Demo Data from SIGIR 2026 / reviewers in the wild / expert
Federico Zannier
dblp:151/6737
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1
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 · 77% Collaborative and social computing · 23% | |
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality
augmented reality |
0.2 | 1 | 2014 | Dyadic projected spatial augmented reality · UIST 2014 |
Collaborative and social computing › co-located collaboration
face-to-face collaboration |
0.1 | 1 | 2014 | Dyadic projected spatial augmented reality · UIST 2014 |
Methods — techniques the papers use, named apart from their topics
dynamic projection mapping · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Dyadic projected spatial augmented realityabstractMano-a-Mano is a unique spatial augmented reality system that combines dynamic projection mapping, multiple perspective views and device-less interaction to support face to face, or dyadic, interaction with 3D virtual objects. Its main advantage over more traditional AR approaches, such as handheld devices with composited graphics or see-through head worn displays, is that users are able to interact with 3D virtual objects and each other without cumbersome devices that obstruct face to face interaction. We detail our prototype system and a number of interactive experiences. We present an initial user experiment that shows that participants are able to deduce the size and distance of a virtual projected object. A second experiment shows that participants are able to infer which of a number of targets the other user indicates by pointing. Hrvoje Benko, Andrew D. Wilson, Federico Zannier |
UIST | 3 |