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      Identifying Information Seeking Behaviours of Low and High Literacy Users: Combined Cognitive Task Analysis


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      9th Bi-annual International Conference on Naturalistic Decision Making (NDM9) (NDM)

      Naturalistic Decision Making (NDM9)

      23 - 26 June 2009

      Low & high literacy users, information search task, information seeking characteristics, information seeking behaviour models

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          Motivation – According to the UK’s National Skills for Life survey carried out in 2003, 16% or equivalent to 5.2 million of the UK population presented low levels of literacy (Williams, et al. 2003). In this study we investigate the differences in information seeking behaviours between low and high literacy users of an on-line social service system. Research approach – Ten volunteers participated in the study. Using the National Skills for Life Survey, five were classified as high literacy; five as low literacy. All participants were asked to think-aloud whilst carrying out the information search using the “Adviceguide” website. The four tasks were of varying difficulty; easy, medium and difficult. Observations, video recording, and a semi structured interview technique that uses cognitive probes were used. The qualitative data were transcribed and analysed using Strauss and Corbin’s (1998) Grounded Theory and Wong and Blandford (2002) Emergent Themes Analysis approach. Findings/Design – We identified eight themes or characteristics from this study; Verification, Reading, Recovery, Trajectories, Abandon, Focus, Satisfied, and Perception. Results showed that low and high literacy users demonstrated critically different characteristics. Take away message – To better support the low and high literacy users with information seeking, we plan to look at information seeking behaviour models as theoretical lenses to analyse their behaviour from the identified characteristics (Makri, Blandford & Cox, 2008). The behaviour models will better inform the development of interface design for low and high literacy users.

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          Author and article information

          June 2009
          June 2009
          : 347-354
          Middlesex University
          © Neesha Kodagoda et al. Published by BCS Learning and Development Ltd. 9th Bi-annual International Conference on Naturalistic Decision Making (NDM9), BCS London

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          9th Bi-annual International Conference on Naturalistic Decision Making (NDM9)
          BCS London
          23 - 26 June 2009
          Electronic Workshops in Computing (eWiC)
          Naturalistic Decision Making (NDM9)
          Product Information: 1477-9358BCS Learning & Development
          Self URI (journal page): https://ewic.bcs.org/
          Electronic Workshops in Computing


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