Demo Data from EDBT 2026 / reviewers in the wild / expert
Nicalia ThompSon
dblp:403/7140
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2025
0009-0005-8201-9737ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021
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 |
Health and well-being technologies · 87% Wearable and physiological sensing · 13% | |
| Computer graphics and multimedia
1 paper |
Virtual and augmented reality · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Virtual and augmented reality › virtual environment
virtual environment design |
0.9 | 1 | 2025 | Setting the Stage: Using Virtual Reality to Assess the Effects of Music Performance Anxiety in Pianists · IEEE Trans. Vis. Comput. Graph. 2025 |
Virtual and augmented reality
virtual reality |
0.9 | 1 | 2025 | Setting the Stage: Using Virtual Reality to Assess the Effects of Music Performance Anxiety in Pianists · IEEE Trans. Vis. Comput. Graph. 2025 |
Health and well-being technologies › mental health technology
anxiety assessment |
0.9 | 1 | 2025 | Setting the Stage: Using Virtual Reality to Assess the Effects of Music Performance Anxiety in Pianists · IEEE Trans. Vis. Comput. Graph. 2025 |
Health and well-being technologies
mental health technology |
0.9 | 1 | 2025 | Setting the Stage: Using Virtual Reality to Assess the Effects of Music Performance Anxiety in Pianists · IEEE Trans. Vis. Comput. Graph. 2025 |
Wearable and physiological sensing › physiological signal analysis
heart rate variability |
0.3 | 1 | 2025 | Setting the Stage: Using Virtual Reality to Assess the Effects of Music Performance Anxiety in Pianists · IEEE Trans. Vis. Comput. Graph. 2025 |
Methods — techniques the papers use, named apart from their topics
within-subject experiment · 1.7MIDI performance analysis · 1.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Setting the Stage: Using Virtual Reality to Assess the Effects of Music Performance Anxiety in PianistsabstractMusic Performance Anxiety (MPA) is highly prevalent among musicians and often debilitating, associated with changes in cognitive, emotional, behavioral, and physiological responses to performance situations. Efforts have been made to create simulated performance environments in conservatoires and Virtual Reality (VR) to assess their effectiveness in managing MPA. Despite these advances, results have been mixed, underscoring the need for controlled experimental designs and joint analyses of performance, physiology, and subjective ratings in these settings. Furthermore, the broader application of simulated performance environments for at-home use and laboratory studies on MPA remains limited. We designed VR scenarios to induce MPA in pianists and embedded them within a controlled within-subject experimental design to systematically assess their effects on performance, physiology, and anxiety ratings. Twenty pianists completed a performance task under two conditions: a public 'Audition' and a private 'Studio' rehearsal. Participants experienced VR pre-performance settings before transitioning to live piano performances in the real world. We measured subjective anxiety, performance (MIDI data), and heart rate variability (HRV). Compared to the Studio condition, pianists in the Audition condition reported higher somatic anxiety ratings and demonstrated an increase in performance accuracy over time, with a reduced error rate. Additionally, their performances were faster and featured increased note intensity. No concurrent changes in HRV were observed. These results validate the potential of VR to induce MPA, enhancing pitch accuracy and invigorating tempo and dynamics. We discuss the strengths and limitations of this approach to develop VR-based interventions to mitigate the debilitating effects of MPA. Nicalia ThompSon, Sylvia Xueni Pan, María Herrojo Ruiz |
IEEE Trans. Vis. Comput. Graph. | 1 |