Demo Data from SIGIR 2026 / reviewers in the wild / expert
Ilinca Mustatea
dblp:144/6173
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—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 |
Immersive interaction · 30% Human-AI interaction · 30% Collaborative and social computing · 30% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing › computer-mediated communication
non-verbal cues |
0.2 | 1 | 2014 | Responsive audiences - Nonverbal cues as reactions to a speaker's behavior · VR 2014 |
Human-AI interaction › virtual agents › virtual human
virtual audience |
0.2 | 1 | 2014 | Responsive audiences - Nonverbal cues as reactions to a speaker's behavior · VR 2014 |
Immersive interaction
virtual reality |
0.2 | 1 | 2014 | Responsive audiences - Nonverbal cues as reactions to a speaker's behavior · VR 2014 |
Learning and educational technologies › skill training
public speaking training |
0.1 | 1 | 2014 | Responsive audiences - Nonverbal cues as reactions to a speaker's behavior · VR 2014 |
Methods — techniques the papers use, named apart from their topics
video analysis · 0.2mixed-methods study · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Responsive audiences - Nonverbal cues as reactions to a speaker's behaviorabstractPresentation skills that involve public speaking are an asset that many recognize to be important for their careers or during their study. One way to learn how to maintain eye contact and address clearly as a speaker is to use virtual audiences (VA) that simulate the reactions of a live public. A mixed-methods exploratory study has been conducted to conceptualize the design of such a VA. The purpose was to research how the nonverbal cues of live audiences vary depending on a speaker's gaze patterns (gazing towards the audience vs. gazing towards the presentation slides or notes) and vocal loudness (low vs. normal). 36 students (listeners) were videotaped during a public speaking situation. The analysis shows that the speaker's gaze patterns and vocal loudness influenced several nonverbal cues the audience displayed. The results could be implemented in the design of VAs by making them responsive in real time to variations in gazing patterns and voice loudness of the speakers (trainees). Ana-Despina Tudor, Ilinca Mustatea, Sandra Poeschl, Nicola Döring |
VR | 2 |