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Sabrina Sauer

dblp:124/0143 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2016
—ORCID · unresolved

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

Databases, data management, data science and information retrieval · 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
Design research and methods · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Information retrieval › user behavior
search behavior
0.212016
Seeking Serendipity: A Living Lab Approach to Understanding Creative Retrieval in Broadcast Media Production · SIGIR 2016
Information retrieval › evaluation
user study
0.212016
Seeking Serendipity: A Living Lab Approach to Understanding Creative Retrieval in Broadcast Media Production · SIGIR 2016
Design research and methods › in-the-wild study
living lab
0.112016
Seeking Serendipity: A Living Lab Approach to Understanding Creative Retrieval in Broadcast Media Production · SIGIR 2016

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

semi-structured interviews · 0.5co-design workshops · 0.2co-design workshop · 0.2
YearPublicationVenuePosition
2016 Seeking Serendipity: A Living Lab Approach to Understanding Creative Retrieval in Broadcast Media Production
abstract
This paper presents a method to map user needs and integrate serendipitous search behaviors in search algorithm development: the living lab approach. This user-centered design approach involves technology users during technology development to catch unexpected insights and successfully innovate. This paper focuses on the preliminary findings of a living lab case study to answer the question how this methodology reveals fine-grained information about users' serendipitous search behaviors. The case study involves a specific user group, media professionals who work in broadcast television and use audiovisual archives to create audiovisual content, during the development of new search algorithms for a large audiovisual archive. Research insights are based on data gathered during one co-design workshop, and ten in-depth semi-structured interviews with media professionals.
Sabrina Sauer, Maarten de Rijke
SIGIR1