Demo Data from EDBT 2026 / reviewers in the wild / expert
Rainer Winkler
dblp:189/3107
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 1 first-authorApplied, interdisciplinary, general and emerging 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 |
Human-AI interaction · 44% Learning and educational technologies · 44% Interaction techniques and input · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Human-AI interaction
conversational agents |
0.4 | 1 | 2020 | Sara, the Lecturer: Improving Learning in Online Education with a Scaffolding-Based Conversational Agent · CHI 2020 |
Learning and educational technologies
online learning |
0.4 | 1 | 2020 | Sara, the Lecturer: Improving Learning in Online Education with a Scaffolding-Based Conversational Agent · CHI 2020 |
Interaction techniques and input
voice interaction |
0.1 | 1 | 2020 | Sara, the Lecturer: Improving Learning in Online Education with a Scaffolding-Based Conversational Agent · CHI 2020 |
Methods — techniques the papers use, named apart from their topics
lab experiment · 0.42x2 factorial design · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | Sara, the Lecturer: Improving Learning in Online Education with a Scaffolding-Based Conversational AgentabstractEnrollment in online courses has sharply increased in higher education. Although online education can be scaled to large audiences, the lack of interaction between educators and learners is difficult to replace and remains a primary challenge in the field. Conversational agents may alleviate this problem by engaging in natural interaction and by scaffolding learners' understanding similarly to educators. However, whether this approach can also be used to enrich online video lectures has largely remained unknown. We developed Sara, a conversational agent that appears during an online video lecture. She provides scaffolds by voice and text when needed and includes a voice-based input mode. An evaluation with 182 learners in a 2 x 2 lab experiment demonstrated that Sara, compared to more traditional conversational agents, significantly improved learning in a programming task. This study highlights the importance of including scaffolding and voice-based conversational agents in online videos to improve meaningful learning. Rainer Winkler, Sebastian Hobert, Antti Salovaara, Matthias Söllner 0001, Jan Marco Leimeister |
CHI | 1 |
| 2016 | Traceable Radiometery Underpinning Terrestrial- and Helio- Studies (TRUTHS): Establishing a climate and calibration observatory in spaceabstractTRUTHS (Traceable Radiometry Underpinning Terrestrial-and Helio- Studies) is a proposed small satellite mission to enable a space-based climate observing system capable of delivering data of the quality needed to provide the information needed by policy makers to make robust mitigation and adaptation decisions. This is achieved by embedding trust and confidence in the data and derived information (tied to international standards) from both its own measurements and by upgrading the performance and interoperability of other EO platforms, such as the Sentinels by in-flight reference calibration. TRUTHS would provide measurements of incoming (total and spectrally resolved) and global reflected spectrally and spatially (50 m) solar radiation at the 0.3% uncertainty level. The calibration scheme components and the route to SI-traceable Earth-reflected solar spectral radiance and solar spectral irradiance are described. Nigel P. Fox, Paul D. Green, Rainer Winkler, Daniel Lobb, Jonathan Friend |
IGARSS | 3 |