Demo Data from EDBT 2026 / reviewers in the wild / expert
Raphaël Perraud
dblp:379/0039
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2026
0009-0003-9281-780XORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 2 first-author · 2 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 |
User interface design and tools · 77% Learning and educational technologies · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Learning and educational technologies
knowledge transfer |
0.3 | 1 | 2026 | Interface Dis/Similarities: Investigating Characteristics Influencing Perceived Differences Between GUIs · CHI 2026 |
Methods — techniques the papers use, named apart from their topics
pairwise comparison · 1.0online experiment · 1.0card sorting · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Interface Dis/Similarities: Investigating Characteristics Influencing Perceived Differences Between GUIsabstractWhile HCI research acknowledges that prior knowledge can be transferred from familiar interfaces to unfamiliar ones, we lack an understanding of which interface characteristics support this process. To adress this issue, we conducted three experiments to identify the interface characteristics that influence the perception of dis/similarities between software interfaces. The first, which involves a card-sorting activity, identifies seven intrinsic characteristics of interface. The second, conducted via an online pairwise comparison survey, identifies three characteristics inherent to the interface’s display context. Finally, the third experiment contrasts the ten identified characteristics to determine their respective influence on perceived interface dis/similarities. Altogether, our results provide actionable guidance for understanding how users perceive differences between interfaces and how such perceptions may inform or facilitate analogical transfer of knowledge from familiar to unfamiliar interfaces. Raphaël Perraud, Sylvain Malacria |
CHI | 1 |
| 2024 | Tutorial mismatches: understanding the frictions due to interface differences when following software video tutorialsabstractVideo tutorials are the main medium to learn novel software skills. However, the User Interface (UI) presented in a video tutorial may differ from the learner’s UI because of customizations or differences in software versions. We investigate the frictions resulting from such differences on a learners’ ability to reproduce a task demonstrated in a video tutorial. Through a morphological analysis, we first identify 13 types of “interface differences" that differ in terms of availability, reachability and spatial location of features in the interface. To better assess the frictions resulting from each of these differences, we then conduct a laboratory study with 26 participants instructed to reproduce a vector graphics editing task. Our results highlight interesting UI comparison behaviors, and illustrate various approaches employed to visually locate features. Raphaël Perraud, Aurélien Tabard, Sylvain Malacria |
Conference on Designing Interactive Systems | 1 |