Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Anja Roggentin

dblp:62/7115 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none

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
Wearable and physiological sensing · 62% Immersive interaction · 19% Usability and user experience research · 19%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing › physiological signal analysis
heart rate variability
0.112008
Mobile Augmented Reality in industrial applications: Approaches for solution of user-related issues · ISMAR 2008

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

user study · 0.1heart rate variability analysis · 0.1
YearPublicationVenuePosition
2008 Mobile Augmented Reality in industrial applications: Approaches for solution of user-related issues
abstract
Augmented Reality (AR) uses computer-generated virtual information to enhance the user’s information access. While numerous previous studies have demonstrated the large potential of AR to improve industrial processes by enhancing product quality and reducing production times it is still unclear if and how long term usage of such AR technology produces stress and strain. This paper presents an approach to use the analysis of Heart Rate Variability to objectively measure current user strain during different work tasks. Results of a user study comparing strain during an AR supported and a non-AR supported work task in a laboratory setting are presented and discussed.
Johannes Tümler, Rüdiger Mecke, Michael Schenk, Anke Huckauf, Fabian Doil, Georg Paul, Eberhard A. Pfister, Irina Böckelmann, Anja Roggentin
ISMAR9