Demo Data from SIGIR 2026 / reviewers in the wild / expert
Xianshi Xie
dblp:86/8320
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 2 first-authorArtificial intelligence and machine learning · 1 · 1 first-authorGraphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author
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 |
Human-robot interaction · 77% Immersive interaction · 23% | |
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction › human-robot interface
mixed reality human-robot interaction |
0.1 | 1 | 2012 | Immersion with robots in large virtual environments · HRI 2012 |
Virtual and augmented reality › locomotion
redirected walking |
0.0 | 1 | 2012 | Immersion with robots in large virtual environments · HRI 2012 |
Immersive interaction › virtual reality experience
immersion |
0.0 | 1 | 2012 | Immersion with robots in large virtual environments · HRI 2012 |
Methods — techniques the papers use, named apart from their topics
redirected walking · 0.3mixed reality system · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Distributed spatial memory in virtual human-robot team scenariosabstractThis experiment investigates the spatial memory and attention when human acts as supervisor of one or two groups of distributed robot teams in a large virtual environment (VE). The problem is similar to learning a new environment and interpreting its spatial structure, e.g., [Mou and McNamara 2002], but less is known when attention is divided or locomotion is involved. Our motivation arises in the context of humans and robots acting cooperatively together as a team. Such teaming is becoming increasingly important in many scenarios, such as disaster relief, and wilderness search and rescue [Humphrey and Adams 2009]. Xianshi Xie, Julie A. Adams, Timothy P. McNamara, Bobby Bodenheimer |
SAP | 1 |
| 2012 | Immersion with robots in large virtual environmentsabstractThis paper presents a mixed reality system for combining real robots, humans, and virtual robots. The system tracks and controls physical robots in local physical space, and inserts them into a virtual environment (VE). The system allows a human to locomote in a VE larger than the physically tracked space of the laboratory through a form of redirected walking. An evaluation assessed the conditions under which subjects found the system to be the most immersive. Xianshi Xie, Qiufeng Lin, Julie A. Adams, Bobby Bodenheimer |
HRI | 1 |