Demo Data from SIGIR 2026 / reviewers in the wild / expert
Luke Roberts
dblp:124/0712
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2012
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 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 · 62% Health and well-being technologies · 19% Immersive interaction · 19% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-robot interaction › service robot
robot exercise coach |
0.1 | 1 | 2012 | Using mixed reality to map human exercise demonstrations to a robot exercise coach · ISMAR 2012 |
Immersive interaction
mixed reality interaction |
0.0 | 1 | 2012 | Using mixed reality to map human exercise demonstrations to a robot exercise coach · ISMAR 2012 |
Health and well-being technologies
physical activity motivation |
0.0 | 1 | 2012 | Using mixed reality to map human exercise demonstrations to a robot exercise coach · ISMAR 2012 |
Methods — techniques the papers use, named apart from their topics
motion mapping · 0.1RGB-D sensing · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Using mixed reality to map human exercise demonstrations to a robot exercise coachabstractObesity is a growing health problem in the United States, especially among children. Indicators show that the rate of obesity for children age 12-19 years old has risen from 5% percent to 18% over the last ten years. To deal with the obesity epidemic, a number of technology interventions, including the use of robotics and virtual reality games, have arisen to motivate youth to become physically active. The difficulty though lies in providing a tool for health professionals to embed established clinical health protocols into these technologies. As such, in this paper we present a mixed reality system that translates physical demonstrations of various exercise protocols into movements for a robotic agent. This is accomplished by mapping real-time data from an RGB-D sensor to a robotic exercise coach. Details of the system are discussed and results from evaluation with 20 human subjects are provided. Ayanna M. Howard, Luke Roberts, Rakale Quarells |
ISMAR | 2 |