Demo Data from EDBT 2026 / reviewers in the wild / expert
Emeline Mercier
dblp:319/3435
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · none
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 |
Design research and methods · 44% Usability and user experience research · 44% Learning and educational technologies · 13% |
Topics — the 2 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Design research and methods › user research
user research methods |
0.6 | 1 | 2022 | Optimizing the Use of the Sentence Completion Survey Technique in User Research: A Case Study on the Experience of E-Reading · CHI 2022 |
Learning and educational technologies › reading technology
reading interaction |
0.2 | 1 | 2022 | Optimizing the Use of the Sentence Completion Survey Technique in User Research: A Case Study on the Experience of E-Reading · CHI 2022 |
Methods — techniques the papers use, named apart from their topics
sentence completion · 0.6online survey · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Optimizing the Use of the Sentence Completion Survey Technique in User Research: A Case Study on the Experience of E-ReadingabstractSentence completion, originally a semi-projective psychological technique, has been used as an effective and lightweight user research method in UX design. More information is yet still needed to understand how different sentence stems probe users’ insights, thereby providing recommendations for effective sentence completion surveys. We used the completion method on a large-scale sample to explore (e-)readers’ experiences and needs. Depending on their reading habits, participants (N=1880) were asked to complete a set of sentences, as part of a web survey. With 14143 user ideas collected in two weeks, our results confirm that remote online sentence completion is a cost-effective data collection method able to uncover feelings, attitudes, motivations, needs, or frustrations. Variation in sentence stems affected collected data in terms of item response rate, idea quantity as well as variety and originality. Building on previous research, this paper delivers actionable insights to optimize the richness of sentence completion outputs. Carine Lallemand, Emeline Mercier |
CHI | 2 |