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Maureen Dostert

dblp:30/7185 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2010
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1 · 1 first-authorHuman-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.

Databases, data mining, and information retrieval
2 papers
Information retrieval · 100%
Network and information security
1 paper
Usable security · 100%
Human-computer interaction and pervasive computing
1 paper
Usability and user experience research · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval
query suggestion
0.112010
Effects of popularity and quality on the usage of query suggestions during information search · CHI 2010
Information retrieval
interactive information retrieval
0.112009
Users' stopping behaviors and estimates of recall · SIGIR 2009
Information retrieval › retrieval evaluation
recall estimation
0.112009
Users' stopping behaviors and estimates of recall · SIGIR 2009
Usable security
user behavior
0.012010
Effects of popularity and quality on the usage of query suggestions during information search · CHI 2010
Usability and user experience research
search behavior
0.012009
Users' stopping behaviors and estimates of recall · SIGIR 2009

Methods — techniques the papers use, named apart from their topics

user study · 0.4
YearPublicationVenuePosition
2010 Effects of popularity and quality on the usage of query suggestions during information search
abstract
Many search systems provide users with recommended queries during online information seeking. Although usage statistics are often used to recommend queries, this information is usually not displayed to the user. In this study, we investigate how the presentation of this information impacts use of query suggestions. Twenty-three subjects used an experimental search system to find documents about four topics. Eight query suggestions were provided for each topic: four were high quality queries and four were low quality queries. Fake usage information indicating how many other people used the queries was also provided. For half the queries this information was high and for the other half this information was low. Results showed that subjects could distinguish between high and low quality queries and were not influenced by the usage information. Qualitative data revealed that subjects felt favorable about the suggestions, but the usage information was less important for the search task used in this study.
Diane Kelly 0001, Amber L. Cushing, Maureen Dostert, Xi Niu, Karl Gyllstrom
CHI3
2009 Users' stopping behaviors and estimates of recall
abstract
This paper investigates subjects' stopping behaviors and estimates of recall in an interactive information retrieval (IIR) experiment. Subjects completed four recall-oriented search tasks and were asked to estimate how many of the relevant documents they believed they had found after each task. Subjects also responded to an interview question probing their reasons for stopping a search. Results show that most subjects believed they found about 51-60% of the relevant documents and that this estimate was correlated positively with number of documents saved and actual recall, even though subjects' recall estimates were inaccurate. Reasons given for stopping search are also explored.
Maureen Dostert, Diane Kelly 0001
SIGIR1