Demo Data from EDBT 2026 / reviewers in the wild / expert
Nelson Navajas Fernández
dblp:432/6683
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2026
0009-0009-4298-9658ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 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 |
Human-AI interaction · 46% Collaborative and social computing · 46% Wearable and physiological sensing · 7% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-AI interaction
AI-mediated communication |
1.0 | 1 | 2026 | Through the Looking-Glass: AI-Mediated Video Communication Reduces Trust and Confidence in Judgement · CHI 2026 |
Collaborative and social computing › computer-mediated communication
interpersonal trust |
1.0 | 1 | 2026 | Through the Looking-Glass: AI-Mediated Video Communication Reduces Trust and Confidence in Judgement · CHI 2026 |
Human-AI interaction
trust in AI |
1.0 | 1 | 2026 | Through the Looking-Glass: AI-Mediated Video Communication Reduces Trust and Confidence in Judgement · CHI 2026 |
Collaborative and social computing › computer-mediated communication › virtual communication
video-mediated communication |
1.0 | 1 | 2026 | Through the Looking-Glass: AI-Mediated Video Communication Reduces Trust and Confidence in Judgement · CHI 2026 |
Wearable and physiological sensing
deception detection |
0.3 | 1 | 2026 | Through the Looking-Glass: AI-Mediated Video Communication Reduces Trust and Confidence in Judgement · CHI 2026 |
Methods — techniques the papers use, named apart from their topics
preregistered study · 1.0online experiment · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Through the Looking-Glass: AI-Mediated Video Communication Reduces Trust and Confidence in JudgementabstractAI-based tools that mediate, enhance or generate parts of video communication may interfere with how people evaluate trustworthiness and credibility. In two preregistered online experiments (N = 2,000), we examined whether AI-mediated video retouching, background replacement and avatars affect interpersonal trust, people’s ability to detect lies and confidence in their judgments. Participants watched short videos of speakers making truthful or deceptive statements across three conditions with varying levels of AI mediation. We observed that perceived trust and confidence in judgments declined in AI-mediated videos, particularly in settings in which some participants used avatars while others did not. However, participants’ actual judgment accuracy remained unchanged, and they were no more inclined to suspect those using AI tools of lying. Our findings provide evidence against concerns that AI mediation undermines people’s ability to distinguish truth from lies, and against cue-based accounts of lie detection more generally. They highlight the importance of trustworthy AI mediation tools in contexts where not only truth, but also trust and confidence matter. Nelson Navajas Fernández, Jeffrey T. Hancock, Maurice Jakesch |
CHI | 1 |