Demo Data from VLDB 2026 / reviewers in the wild / expert
Stephen Bart Wood
dblp:29/2297
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2004
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 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
2 papers |
Human-robot interaction · 80% Interaction techniques and input · 20% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction › multi-robot systems
multi-robot control |
0.1 | 2 | 2004 | Metrics for Human Driving of Multiple Robots · ICRA 2004 Fan-out: measuring human control of multiple robots · CHI 2004 |
Interaction techniques and input › selection techniques › command selection › menu interaction
fan-out |
0.0 | 1 | 2004 | Fan-out: measuring human control of multiple robots · CHI 2004 |
Methods — techniques the papers use, named apart from their topics
user study · 0.0robot simulation · 0.0fan-out equation · 0.0experimental validation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | Fan-out: measuring human control of multiple robotsabstractA goal of human-robot interaction is to allow one user to operate multiple robots simultaneously. In such a scenario the robots provide leverage to the user's attention. The number of such robots that can be operated is called the fan-out of a human-robot team. Robots that have high neglect tolerance and lower interaction time will achieve higher fan-out. We define an equation that relates fan-out to a robot's activity time and its interaction time. We describe how to measure activity time and fan-out. We then use the fan-out equation to compute interaction effort. We can use this interaction effort as a measure of the effectiveness of a human-robot interaction design. We describe experiments that validate the fan-out equation and its use as a metric for improving human-robot interaction. Dan R. Olsen, Stephen Bart Wood |
CHI | 2 |
| 2004 | Metrics for Human Driving of Multiple RobotsabstractA goal of human-robot interaction is to expand the capability of human beings so that they can control multiple robots simultaneously. This provides leverage for human attention beyond single robot interaction. The number of such robots that can be operated is called the fan-out of a human-robot team. We define the concepts of neglect-tolerance as a measure of autonomy and interaction-effort as a measure of required human attention. A model for fan-out is presented that predicts a human's ability to control multiple robots. We validate this model using robot simulations and user studies. Using the validated model we demonstrate enhanced task performance on physical robots as predicted by the model. Dan R. Olsen, Stephen Bart Wood, Jonathan Turner |
ICRA | 2 |