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A task completion engine to enhance search session support for air traffic work tasks
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Moshfeghi, Y., Rothfeld, R., Azzopardi, L. and Triantafillou, Peter (2017) A task completion engine to enhance search session support for air traffic work tasks. In: 39th European Conference on IR Research, ECIR 2017, Aberdeen, 8-13 Apr 2017. Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 10193 pp. 278-290. ISBN 9783319566078.
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Official URL: https://doi.org/10.1007/978-3-319-56608-5_22
Abstract
Providing support for users during their search sessions has been hailed as a major challenge in interactive information retrieval (IIR). Providing such support requires considering the context of the search and facilitating the work task at hand. In this paper, we consider the work tasks associated with air traffic analysts, who perform numerous searches using a multifaceted search interface in order to acquire business intelligence regarding particular events and situations. In particular, we develop a novel task completion engine and seamlessly incorporated it within a current air traffic search system to facilitate the comparison of information objects found. In a study with 24 participants, we found that they completed the complex work task faster using the comparison feature, but for simple work tasks, participants were slower. However, participants reported (statistically) significantly higher satisfaction and had (statistically) significantly higher accuracy using the search system equipped with task completion engine. These findings help to steer systems to provide a better support to users in their search process. © Springer International Publishing AG 2017.
Item Type: | Conference Item (Paper) | ||||
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Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Series Name: | Lecture Notes in Computer Science | ||||
Journal or Publication Title: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | ||||
Publisher: | Springer | ||||
Place of Publication: | Cham | ||||
ISBN: | 9783319566078 | ||||
Book Title: | Advances in Information Retrieval. ECIR 2017 | ||||
Official Date: | 2017 | ||||
Dates: |
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Volume: | 10193 | ||||
Page Range: | pp. 278-290 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Reuse Statement (publisher, data, author rights): | cited By 0 | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | 39th European Conference on IR Research, ECIR 2017 | ||||
Type of Event: | Conference | ||||
Location of Event: | Aberdeen | ||||
Date(s) of Event: | 8-13 Apr 2017 |
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