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Ronald Poelman

dblp:11/10537 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2013
—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 · 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
Immersive interaction · 62% Collaborative and social computing · 19% Ubiquitous computing and smart environments · 19%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Immersive interaction
mediated reality
0.112012
As if being there: mediated reality for crime scene investigation · CSCW 2012
Collaborative and social computing
remote collaboration
0.012012
As if being there: mediated reality for crime scene investigation · CSCW 2012

Methods — techniques the papers use, named apart from their topics

interviews · 0.1experiment · 0.1
YearPublicationVenuePosition
2013 Multi-cue hand detection and tracking for a head-mounted augmented reality system
Oytun Akman, Ronald Poelman, Wouter Caarls, Pieter P. Jonker
Mach. Vis. Appl.2
2012 As if being there: mediated reality for crime scene investigation
abstract
This paper presents a novel mediated reality system designed to support collaboration between crime scene investigators during a first analysis on a crime scene, remotely supported by expert colleagues. Requirements elicited from interviews and interactive sessions with practicing crime scene investigators, provided the design criteria for a head mounted display capable of real-time map-making for spatial collaboration. The resulting system is evaluated in a staged crime scene experiment in which lay investigators collaboratively solve a spatial problem with remote experts. The results show that our novel approach to remote spatial interaction with the physical scene enables investigators to tackle current issues on site in collaboration with experts at a distance.
Ronald Poelman, Oytun Akman, Stephan G. Lukosch, Pieter P. Jonker
CSCW1