Demo Data from SIGIR 2026 / reviewers in the wild / expert
Alberto Mariola
dblp:225/8292
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—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 |
Wearable and physiological sensing · 100% | |
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wearable and physiological sensing
electroencephalography |
0.3 | 1 | 2018 | Using EEG to Decode Subjective Levels of Emotional Arousal During an Immersive VR Roller Coaster Ride · VR 2018 |
Virtual and augmented reality › virtual reality
VR experience |
0.1 | 1 | 2018 | Using EEG to Decode Subjective Levels of Emotional Arousal During an Immersive VR Roller Coaster Ride · VR 2018 |
Methods — techniques the papers use, named apart from their topics
spatial filtering · 0.7EEG classification · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Using EEG to Decode Subjective Levels of Emotional Arousal During an Immersive VR Roller Coaster RideabstractEmotional arousal is a key component of a user's experience in immersive virtual reality (VR). Subjective and highly dynamic in nature, emotional arousal involves the whole body and particularly the brain. However, it has been difficult to relate subjective emotional arousal to an objective, neurophysiological marker - especially in naturalistic settings. We tested the association between continuously changing states of emotional arousal and oscillatory power in the brain during a VR roller coaster experience. We used novel spatial filtering approaches to predict self-reported emotional arousal from the electroencephalogram (EEG) signal of 38 participants. Periods of high vs. low emotional arousal could be classified with accuracies significantly above chance level. Our results are consistent with prior findings regarding emotional arousal in less naturalistic settings. We demonstrate a new approach to decode states of subjective emotional arousal from continuous EEG data in an immersive VR experience. Felix Klotzsche, Alberto Mariola, Simon M. Hofmann, Vadim V. Nikulin, Arno Villringer, Michael Gaebler |
VR | 2 |