EDBT 2026 Demo / reviewers in the wild / expert
Pawitra Chiravirakul
dblp:144/5426
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · none
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.
| Databases, data mining, and information retrieval
1 paper |
Information retrieval · 100% | |
| Human-computer interaction and pervasive computing
1 paper |
Usability and user experience research · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information retrieval › search interfaces
search result presentation |
0.2 | 1 | 2014 | Choice overload in search engine use? · CHI 2014 |
Usability and user experience research › decision-making
choice overload |
0.2 | 1 | 2014 | Choice overload in search engine use? · CHI 2014 |
Methods — techniques the papers use, named apart from their topics
controlled experiment · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | Choice overload in search engine use?abstractSearch engines typically return so many results that choosing from the list might be predicted to suffer from the effects of "choice overload". Preliminary work has reported just such an effect [12]. In this paper a series of three experiments was conducted to investigate the choice overload effect in search engine use. Participants were given search tasks and presented with either six or twenty-four returns to choose from. The results revealed that the choice behaviour was strongly influenced by the ranking of returns, and that choice satisfaction was affected by the number of options and the decision time. The main results, from the third experiment, showed that large sets of options yielded a positive effect on participants' satisfaction when they made a decision without time limit. When time was more strongly constrained, choices from small sets led to relatively higher satisfaction. Our studies show how user satisfaction with found information can be affected by processing strategies that are influenced by search engine design features. Pawitra Chiravirakul, Stephen J. Payne |
CHI | 1 |