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

Nicolas S. Herrera

dblp:161/8797 · DBLP profile ↗
← Back
2ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 2Human-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.

Computer graphics and multimedia
1 paper
Virtual and augmented reality · 100%
Human-computer interaction and pervasive computing
1 paper
Haptics and multimodal interaction · 100%

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

TopicWeightPapersLastEvidence papers
Virtual and augmented reality › learning and educational technologies
procedural training
0.212015
The effects of olfaction on training transfer for an assembly task · VR 2015
Virtual and augmented reality
training transfer
0.212015
The effects of olfaction on training transfer for an assembly task · VR 2015
Haptics and multimodal interaction
olfactory stimulation
0.112015
The effects of olfaction on training transfer for an assembly task · VR 2015

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

context-dependent memory · 0.4
YearPublicationVenuePosition
2016 A reproducible olfactory display for exploring olfaction in immersive media experiences
Michael J. Howell, Nicolas S. Herrera, Alec G. Moore, Ryan P. McMahan
Multim. Tools Appl.2
2015 The effects of olfaction on training transfer for an assembly task
abstract
Context-dependent memory studies have indicated that olfaction, the sense of smell, has a special odor memory that can significantly improve recall in some cases. Virtual reality (VR), which has been investigated as a training tool, could feasibly benefit from odor memory by incorporating olfactory stimuli. There have been a few studies on this concept for semantic learning, but not for procedural training. To address this gap in knowledge, we investigated the effects of olfaction on the transfer of knowledge from training to next-day execution for building a complex LEGO jet-plane model. Our results indicate that the pleasantness of an odor significantly affects training transfer more than whether the encoding and recall contexts match.
Alec G. Moore, Nicolas S. Herrera, Tyler C. Hurst, Ryan P. McMahan, Sandra Poeschl
VR2