Demo Data from SIGIR 2026 / reviewers in the wild / expert
Micha Offe
dblp:387/4969
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0003-4102-5001ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 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 · 67% Human-robot interaction · 33% | |
| Artificial intelligence
1 paper |
Trustworthy machine learning · 100% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-AI interaction › explainable AI
uncertainty communication |
0.8 | 1 | 2024 | Natural Expression of a Machine Learning Model's Uncertainty Through Verbal and Non-Verbal Behavior of Intelligent Virtual Agents · UIST 2024 |
Human-robot interaction › robot communication
verbal and non-verbal behavior |
0.8 | 1 | 2024 | Natural Expression of a Machine Learning Model's Uncertainty Through Verbal and Non-Verbal Behavior of Intelligent Virtual Agents · UIST 2024 |
Human-AI interaction
virtual agents |
0.8 | 1 | 2024 | Natural Expression of a Machine Learning Model's Uncertainty Through Verbal and Non-Verbal Behavior of Intelligent Virtual Agents · UIST 2024 |
Methods — techniques the papers use, named apart from their topics
user study · 1.5intelligent virtual agent · 1.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Natural Expression of a Machine Learning Model's Uncertainty Through Verbal and Non-Verbal Behavior of Intelligent Virtual AgentsabstractUncertainty cues are inherent in natural human interaction, as they signal to communication partners how much they can rely on conveyed information. Humans subconsciously provide such signals both verbally (e.g., through expressions such as “maybe’’ or “I think’’) and non-verbally (e.g., by diverting their gaze). In contrast, artificial intelligence (AI)-based services and machine learning (ML) models such as ChatGPT usually do not disclose the reliability of answers to their users. Susanne Schmidt 0001, Tim Rolff, Henrik Voigt, Micha Offe, Frank Steinicke |
UIST | 4 |