Methods for gathering and analysing information seeking behaviour in electronic resource discovery systems

Stelmaszewska, Hanna, Wong, William B.-L. and Sanderson, Penelope M. (2010). Methods for gathering and analysing information seeking behaviour in electronic resource discovery systems. In: Proceedings of the 54th Annual Meeting of the Human Factors and Ergonomics Society. 54th Annual Meeting of the Human Factors and Ergonomics Society, San Francisco, Ca., U.S.A., (807-811). 27 September - 1 October, 2010.

Attached Files (Some files may be inaccessible until you login with your UQ eSpace credentials)
Name Description MIMEType Size Downloads
HFES2010StelmaszewskaWongSanderson.pdf HFES2010StelmaszewskaWongSanderson.pdf application/pdf 784.65KB 0
uq220188_Checklists.pdf HERDC checklist - not publically available application/pdf 264.48KB 0

Author Stelmaszewska, Hanna
Wong, William B.-L.
Sanderson, Penelope M.
Title of paper Methods for gathering and analysing information seeking behaviour in electronic resource discovery systems
Conference name 54th Annual Meeting of the Human Factors and Ergonomics Society
Conference location San Francisco, Ca., U.S.A.
Conference dates 27 September - 1 October, 2010
Proceedings title Proceedings of the 54th Annual Meeting of the Human Factors and Ergonomics Society   Check publisher's open access policy
Place of Publication Santa Monica, CA
Publisher Human Factors and Ergonomics Society
Publication Year 2010
Sub-type Fully published paper
ISBN 978-0-945289-37-1
ISSN 1541-9312
1071-1813
Volume 54
Start page 807
End page 811
Total pages 5
Language eng
Abstract/Summary This paper reports on the use of a combination of cognitive task analysis techniques – such as observations with ‘think aloud’, the Critical Decision Method (CDM) interviews and Cued Recall – to identify and understand what students and researchers do when searching for scholarly material using various electronic resource discovery systems. It describes the use of Emergent Themes Analysis to discover broad themes across all the data sets collected. This paper also presents a visual representation of the process of information seeking developed during data analysis that allowed the patterns of activities to emerge and show the relationship between different actions. Overall, it is that the use of multiple research methods can reduce the limitations of individual methods and provides complementary insights.
Keyword cognitive task analysis techniques
Critical Decision Method (CDM)
Cued Recall
Q-Index Code E1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Available online or via CD-ROm. -- Conference Session GS10 – MONITORING AND SIGNAL DETECTION

 
Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 0 times in Scopus Article
Google Scholar Search Google Scholar
Created: Fri, 12 Nov 2010, 04:31:53 EST by Professor Penelope Sanderson on behalf of School of Information Technol and Elec Engineering