EDBT 2026 Demo / reviewers in the wild / expert
Bernie Randles
dblp:159/3704
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1Applied, interdisciplinary, general and emerging computing · 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.
| Human-computer interaction and pervasive computing
1 paper |
Design research and methods · 62% Learning and educational technologies · 19% User interface design and tools · 19% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Design research and methods › research methodology
multimodal annotation |
0.2 | 1 | 2016 | RichReview++: Deployment of a Collaborative Multi-modal Annotation System for Instructor Feedback and Peer Discussion · CSCW 2016 |
User interface design and tools
annotation tools |
0.1 | 1 | 2016 | RichReview++: Deployment of a Collaborative Multi-modal Annotation System for Instructor Feedback and Peer Discussion · CSCW 2016 |
Learning and educational technologies
classroom deployment |
0.1 | 1 | 2016 | RichReview++: Deployment of a Collaborative Multi-modal Annotation System for Instructor Feedback and Peer Discussion · CSCW 2016 |
Methods — techniques the papers use, named apart from their topics
interviews · 0.2field deployment · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | RichReview++: Deployment of a Collaborative Multi-modal Annotation System for Instructor Feedback and Peer DiscussionabstractNew multi-modal annotation tools hold the promise of bringing the benefits of face-to-face contact to remote, asynchronous interactions. One such system, RichReview++, incorporates new techniques to improve access to the embedded multimedia commentary and allows users to annotate with new modalities, like deictic gestures. We conducted a series of field deployments of RichReview++ to characterize how these features benefit students using them for activities in the university classroom. Our first deployment investigated the use of multi-modal annotations as a way for instructors to provide feedback on student term papers. Our second deployment used annotations to support peer discussion about assigned readings in a graduate-level course. We found that presenting voice comments as interactive waveforms seems to facilitate students' consumption of the instructor's voice comments. We also found that gestural annotations clarify voice and give annotators a quick and lightweight way to alter the scope of their voice comments. Based on these results, we suggest ways to best leverage multi-modal annotation tools in education environments. Dongwook Yoon, Nicholas Chen, Bernie Randles, Amy Cheatle, Steven J. Jackson, Corinna E. Löckenhoff, Abigail Sellen, François Guimbretière |
CSCW | 3 |
| 2015 | Supporting Face-to-Face Like Communication Modalities for Asynchronous Assignment Feedback in Math EducationabstractThe digitization of educational course content has proved to be problematic for math instructors due to the lack of quality feedback tools that can accommodate the commenter to efficiently express math formulae and convey descriptions about complex ideas contextualized in situ. This paper proposes that RichReview, a document annotation system which creates inking, voice and deictic gestures on top of the student's submitted work, is a possible formative math feedback solution, because it enables face-to-face like commentary within the contexts of the document at hand. A preliminary qualitative evaluation study conducted while having students receive RichReview feedback showed promise to our approach to enhance the quality of feedback, with the implication that incorporating multi-modal feedback into workflows can be an effective method to address elements of feedback submissions lacking in coursework that has moved online. Bernie Randles, Dongwook Yoon, Amy Cheatle, Malte F. Jung, François Guimbretière |
L@S | 1 |