Demo Data from EDBT 2026 / reviewers in the wild / expert
Thomas Beauvisage
dblp:50/6016
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2009
0000-0003-3884-2345ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous 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 |
Ubiquitous computing and smart environments · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Empirical software engineering · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Ubiquitous computing and smart environments › domestic technology
domestic computing |
0.1 | 1 | 2009 | Computer usage in daily life · CHI 2009 |
Empirical software engineering
user behavior analysis |
0.1 | 1 | 2009 | Computer usage in daily life · CHI 2009 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2009 | Computer usage in daily lifeabstractIn this paper we explore the use of computer at home. This work is based on the automatic recording of application focus data in natural situation from a wide representative panel of 661 households with 1,434 users at home over 19 months. To process these large-scale data, we build a two-level classification of PC applications describing the whole PC use. At the household level, we worked on computer usage temporality: we observed two strategies of PC usage reflecting a tension between synchronous and asynchronous usage profiles. At the individual level, we found out that software preferences and usage intensity are rather independent; therefore, we distinguished five specific profiles of users reflecting strong routine behaviors of computer usage at home. These observations tend to show the strength of routine behaviors in computer usage. Thomas Beauvisage |
CHI | 1 |