A behavioral approach to information retrieval system design
Journal of Documentation
Information behaviour: an inter-disciplinary perspective
ISIC '96 Proceedings of an international conference on Information seeking in context
The effects of information scent on visual search in the hyperbolic tree browser
ACM Transactions on Computer-Human Interaction (TOCHI)
Modeling the information-seeking behavior of social scientists: Ellis's study revisited
Journal of the American Society for Information Science and Technology
Journal of the American Society for Information Science and Technology
NDM'09 Proceedings of the 9th Bi-annual international conference on Naturalistic Decision Making
TPDL'11 Proceedings of the 15th international conference on Theory and practice of digital libraries: research and advanced technology for digital libraries
Interactive visualization for low literacy users: from lessons learnt to design
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Motivation -- The paper focuses on how information seeking behaviour model is used as a theoretical lens to analyse high and low literate users online behaviour which in turn will support interface design suggestions. Research approach -- Five high and five low literate users of a local charity which provides social service information participated to carry out four online information seeking tasks. Data were captured using think-aloud, video, observation and semi structured interview techniques. A data analysis on the study previously discovered eight information seeking behaviour strategies: Reading, Scanning, Focus, Satisfied, Verification, Recovery, Trajectories, Representation and Abandon. Several information seeking behaviour models were evaluated prior to selecting Ellis (1989) information seeking behaviour model which includes features such as: starting, chaining, browsing, differentiating, monitoring, extracting, verifying, and ending. The model is used as a theoretical lens to analyse the data combining with the previous findings to make interface design suggestions. The study will not validate the correctness or the features of Ellis model. Findings/Design -- The analysis uncovered two variations of Ellis model for the high and low literate users, and how the models were used to give interface design suggestions. Research limitations/Implications -- The small sample size of five high and five low literate participants, limited the possibility of generalizing the findings. Originality/Value -- The low and high literate users information seeking behaviour were analysed using Ellis model as a theoretical lens along with the previously identified information seeking behaviour strategies of these users. These finds of the refined models are used to suggest interface design to improve the low literate users online information seeking. Take away message -- The models will be used to suggest interface design recommend for low literate users. We hope the design suggestions will help improve the low literate users online information seeking.