A task completion engine to enhance search session support for air traffic work tasks

Yashar Moshfeghi, Raoul Rothfeld, Leif Azzopardi, Peter Triantafillou

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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.
LanguageEnglish
Title of host publicationEuropean Conference on Information Retrieval
Subtitle of host publication39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings
EditorsJoemon M. Jose, Claudia Hauff, Ismail Sengor Altıngovde, Dawei Song, Dyaa Albakour, Stuart Watt, John Tait
Place of PublicationCham, Switzerland
Pages278-290
Number of pages13
Volume10193
DOIs
Publication statusPublished - 8 Apr 2017
Event39th European Conference on Information Retrieval - Aberdeen Exhibitiion and Conference Centre, Aberdeen, United Kingdom
Duration: 9 Apr 201713 Apr 2017
http://www.ecir2017.org/

Publication series

NameLecture Notes in Computer Science
PublisherSpringer International Publishing AG
Volume10193
ISSN (Print)0302-9743

Conference

Conference39th European Conference on Information Retrieval
Abbreviated titleECIR 2017
CountryUnited Kingdom
CityAberdeen
Period9/04/1713/04/17
Internet address

Fingerprint

air traffic
simple work
information retrieval
event

Keywords

  • user support
  • information retrieval
  • air traffic analysts
  • multifaceted search interface
  • user satisfaction
  • accuracy

Cite this

Moshfeghi, Y., Rothfeld, R., Azzopardi, L., & Triantafillou, P. (2017). A task completion engine to enhance search session support for air traffic work tasks. In J. M. Jose, C. Hauff, I. S. Altıngovde, D. Song, D. Albakour, S. Watt, & J. Tait (Eds.), European Conference on Information Retrieval: 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings (Vol. 10193, pp. 278-290). (Lecture Notes in Computer Science; Vol. 10193). Cham, Switzerland. https://doi.org/10.1007/978-3-319-56608-5_22
Moshfeghi, Yashar ; Rothfeld, Raoul ; Azzopardi, Leif ; Triantafillou, Peter. / A task completion engine to enhance search session support for air traffic work tasks. European Conference on Information Retrieval: 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings. editor / Joemon M. Jose ; Claudia Hauff ; Ismail Sengor Altıngovde ; Dawei Song ; Dyaa Albakour ; Stuart Watt ; John Tait. Vol. 10193 Cham, Switzerland, 2017. pp. 278-290 (Lecture Notes in Computer Science).
@inproceedings{b343eea7fcdc498389d6d5ec22e329ab,
title = "A task completion engine to enhance search session support for air traffic work tasks",
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.",
keywords = "user support, information retrieval, air traffic analysts, multifaceted search interface, user satisfaction, accuracy",
author = "Yashar Moshfeghi and Raoul Rothfeld and Leif Azzopardi and Peter Triantafillou",
note = "The final publication is available at Springer via https://doi.org/10.1007/978-3-319-56608-5_22",
year = "2017",
month = "4",
day = "8",
doi = "10.1007/978-3-319-56608-5_22",
language = "English",
isbn = "9783319566078",
volume = "10193",
series = "Lecture Notes in Computer Science",
publisher = "Springer International Publishing AG",
pages = "278--290",
editor = "{ Jose}, {Joemon M.} and Claudia Hauff and Altıngovde, {Ismail Sengor} and Dawei Song and Dyaa Albakour and Stuart Watt and John Tait",
booktitle = "European Conference on Information Retrieval",

}

Moshfeghi, Y, Rothfeld, R, Azzopardi, L & Triantafillou, P 2017, A task completion engine to enhance search session support for air traffic work tasks. in JM Jose, C Hauff, IS Altıngovde, D Song, D Albakour, S Watt & J Tait (eds), European Conference on Information Retrieval: 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings. vol. 10193, Lecture Notes in Computer Science, vol. 10193, Cham, Switzerland, pp. 278-290, 39th European Conference on Information Retrieval, Aberdeen, United Kingdom, 9/04/17. https://doi.org/10.1007/978-3-319-56608-5_22

A task completion engine to enhance search session support for air traffic work tasks. / Moshfeghi, Yashar; Rothfeld, Raoul; Azzopardi, Leif; Triantafillou, Peter.

European Conference on Information Retrieval: 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings. ed. / Joemon M. Jose; Claudia Hauff; Ismail Sengor Altıngovde; Dawei Song; Dyaa Albakour; Stuart Watt; John Tait. Vol. 10193 Cham, Switzerland, 2017. p. 278-290 (Lecture Notes in Computer Science; Vol. 10193).

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

TY - GEN

T1 - A task completion engine to enhance search session support for air traffic work tasks

AU - Moshfeghi, Yashar

AU - Rothfeld, Raoul

AU - Azzopardi, Leif

AU - Triantafillou, Peter

N1 - The final publication is available at Springer via https://doi.org/10.1007/978-3-319-56608-5_22

PY - 2017/4/8

Y1 - 2017/4/8

N2 - 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.

AB - 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.

KW - user support

KW - information retrieval

KW - air traffic analysts

KW - multifaceted search interface

KW - user satisfaction

KW - accuracy

UR - http://www.springer.com/series/7409

U2 - 10.1007/978-3-319-56608-5_22

DO - 10.1007/978-3-319-56608-5_22

M3 - Conference contribution book

SN - 9783319566078

VL - 10193

T3 - Lecture Notes in Computer Science

SP - 278

EP - 290

BT - European Conference on Information Retrieval

A2 - Jose, Joemon M.

A2 - Hauff, Claudia

A2 - Altıngovde, Ismail Sengor

A2 - Song, Dawei

A2 - Albakour, Dyaa

A2 - Watt, Stuart

A2 - Tait, John

CY - Cham, Switzerland

ER -

Moshfeghi Y, Rothfeld R, Azzopardi L, Triantafillou P. A task completion engine to enhance search session support for air traffic work tasks. In Jose JM, Hauff C, Altıngovde IS, Song D, Albakour D, Watt S, Tait J, editors, European Conference on Information Retrieval: 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proceedings. Vol. 10193. Cham, Switzerland. 2017. p. 278-290. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-319-56608-5_22