Demo Data from SIGIR 2026 / reviewers in the wild / expert
Irwin Hudson
dblp:07/8732 · also Irwin L. Hudson
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Human-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 |
Human-robot interaction · 77% Collaborative and social computing · 23% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction
human-robot collaboration |
0.1 | 1 | 2012 | Applying team heuristics to future human-robot systems · HRI 2012 |
Collaborative and social computing
team training |
0.0 | 1 | 2012 | Applying team heuristics to future human-robot systems · HRI 2012 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Applying team heuristics to future human-robot systemsabstractIn this paper we briefly describe teaming heuristics as they are applied to human-human teams, and demonstrate their adaptability to human-robot (HR) teams. We discuss a framework developed from Salas's models on teamwork and team training. As HRI technology moves from tele-operative control methods to teamwork with intelligent robots, it is pertinent to properly integrate knowledge about teams into the development of robotic systems. This should lead to highly effective team systems, and may provide insight into the design of robotic entities and system protocols. Joseph Roland Keebler, Florian Jentsch, Thomas Fincannon, Irwin Hudson |
HRI | 4 |