Demo Data from SIGIR 2026 / reviewers in the wild / expert
Stefan Baumann
dblp:24/6175
· DBLP profile ↗
5ranked-venue papers
2as first author
2since 2021 · last 2023
0000-0002-7302-7103ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 5 · 2 first-author · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author
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.
| Artificial intelligence
1 paper |
Language models and text generation · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Human-AI interaction · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-AI interaction › virtual agents
embodied agents |
0.0 | 1 | 2008 | Fully generated scripted dialogue for embodied agents · Artif. Intell. 2008 |
Methods — techniques the papers use, named apart from their topics
natural language generation · 0.2embodied agents · 0.1embodied agent · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Filter Evolution Using Cartesian Genetic Programming for Time Series Anomaly Detectionabstract300 Andreas Margraf, Henning Cui, Stefan Baumann, Jörg Hähner |
IJCCI | 3 |
| 2021 | Do Prosody and Embodiment Influence the Perceived Naturalness of Conversational Agents' Speech?abstractFor conversational agents’ speech, either all possible sentences have to be prerecorded by voice actors or the required utterances can be synthesized. While synthesizing speech is more flexible and economic in production, it also potentially reduces the perceived naturalness of the agents among others due to mistakes at various linguistic levels. In our article, we are interested in the impact of adequate and inadequate prosody, here particularly in terms of accent placement, on the perceived naturalness and aliveness of the agents. We compare (1) inadequate prosody, as generated by off-the-shelf text-to-speech (TTS) engines with synthetic output; (2) the same inadequate prosody imitated by trained human speakers; and (3) adequate prosody produced by those speakers. The speech was presented either as audio-only or by embodied, anthropomorphic agents, to investigate the potential masking effect by a simultaneous visual representation of those virtual agents. To this end, we conducted an online study with 40 participants listening to four different dialogues each presented in the three Speech levels and the two Embodiment levels. Results confirmed that adequate prosody in human speech is perceived as more natural (and the agents are perceived as more alive) than inadequate prosody in both human (2) and synthetic speech (1). Thus, it is not sufficient to just use a human voice for an agents’ speech to be perceived as natural—it is decisive whether the prosodic realisation is adequate or not. Furthermore, and surprisingly, we found no masking effect by speaker embodiment, since neither a human voice with inadequate prosody nor a synthetic voice was judged as more natural, when a virtual agent was visible compared to the audio-only condition. On the contrary, the human voice was even judged as less “alive” when accompanied by a virtual agent. In sum, our results emphasize, on the one hand, the importance of adequate prosody for perceived naturalness, especially in terms of accents being placed on important words in the phrase, while showing, on the other hand, that the embodiment of virtual agents plays a minor role in the naturalness ratings of voices. Jonathan Ehret, Andrea Bönsch, Lukas Aspöck, Christine T. Röhr, Stefan Baumann, Martine Grice, Janina Fels, Torsten W. Kuhlen |
ACM Trans. Appl. Percept. | 5 |
| 2008 | Fully generated scripted dialogue for embodied agents
Kees van Deemter, Brigitte Krenn, Paul Piwek, Martin Klesen, Marc Schröder 0001, Stefan Baumann |
Artif. Intell. | 6 |
| 2004 | The MULI Project: Annotation and Analysis of Information Structure in German and English
Stefan Baumann, Caren Brinckmann, Silvia Hansen-Schirra, Geert-Jan M. Kruijff, Ivana Kruijff-Korbayová, Stella Neumann, Erich Steiner 0001, Elke Teich, Hans Uszkoreit |
LREC | 1 |
| 2001 | On the prosody of German telephone numbersabstractSpoken telephone numbers are prosodically structured. This is reflected on various levels, such as grouping, wording and accenting. Realisation strategies employed by German speakers are used to model the prosody of telephone number production. In a listening preference test using synthetic speech two strategies used by commercial inquiry systems proved to be less acceptable than the versions based on the proposed models. These models are proposed for use in speech-synthesis-based telephone number inquiry services. 1. Stefan Baumann, Jürgen Trouvain |
INTERSPEECH | 1 |