Demo Data from EDBT 2026 / reviewers in the wild / expert
Michelle Brown
dblp:10/3084
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous 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 |
Collaborative and social computing · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing
computer-supported cooperative work |
0.2 | 1 | 2014 | The effects of consistency maintenance methods on player experience and performance in networked games · CSCW 2014 |
Collaborative and social computing › collaborative editing
consistency maintenance |
0.2 | 1 | 2014 | The effects of consistency maintenance methods on player experience and performance in networked games · CSCW 2014 |
Collaborative and social computing › multi-user virtual environments
networked computer games |
0.2 | 1 | 2014 | The effects of consistency maintenance methods on player experience and performance in networked games · CSCW 2014 |
Methods — techniques the papers use, named apart from their topics
user study · 0.2algorithmic characterization · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | The effects of consistency maintenance methods on player experience and performance in networked gamesabstractNetwork lag is a fact of life for networked games. Lag can cause game states to diverge at different nodes in the network, making it difficult to maintain the illusion of a single shared space. Traditional lag compensation techniques help reduce inconsistency in networked games; however, these techniques do not address what to do when states actually have diverged. Traditional consistency maintenance (CM) does not specify how to make game- critical decisions when players' views of the shared state are different, nor does it indicate how to repair inconsistencies. These two issues -- decision-making and error repair -- can have substantial effects on players' gaming experience. To address this shortcoming, we have characterized a range of algorithmic choices for decision- making and error repair. We report on a study confirming that these algorithms can have significant effects on player experience and performance, and showing that they are often more important than degree of consistency itself. Cheryl Savery, T. C. Nicholas Graham, Carl Gutwin, Michelle Brown |
CSCW | 4 |