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ReferencesNavigation arrowAuthorsNavigation arrowNawaz Khan
May 23

“ Knowledge is commonly socially constructed, through collaborative efforts towards shared objectives or by dialogues and challenges brought about by different persons' perspectives. ”

-- G. Salomon (in "Distributed Cognitions: Psychological and Educational Considerations")

 
 

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Nawaz Khan

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Publications by Nawaz Khan (bibliography)

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2010
 
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Kodagoda, Neesha, Wong, B. L. William and Khan, Nawaz (2010): Open-card sort to explain why low-literate users abandon their web searches early. In: Proceedings of the HCI10 Conference on People and Computers XXIV 2010. pp. 433-442.

“The purpose of this paper is to report the possible reasons for premature abandonment by low-literate users during online searches. Previous evidence suggests that low-literate web users abandon their online searches early believing that the information they were looking for should be in the section they were at, thinking that they have either found it or that the information was unavailable. This paper describes an open-card sorting technique combined with multiple Cognitive Task Analysis (CTA) methods to understand why this occurs. Nine high-literate and eight low-literate volunteers of the Citizens Advice Bureau (CAB) sorted 37 cards representing information in the "Adviceguide" social services website. The qualitative data collected were analysed using Emergent Themes Analysis (ETA). Results showed that low-literate users do not create main and subgroups when classifying the cards but kept them on single-level taxonomy. They rank these groups based on flawed interpretations of concepts and personal or hypothetical experiences. High-literate users create multi-level taxonomies and their interpretations are based on keywords and interpretations of concepts and personal or hypothetical experiences. We believe these differences in classification models may contribute to premature abandonment of online searches by low-literate users.”

© All rights reserved Kodagoda et al. and/or BCS

 
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Kodagoda, Neesha, Wong, B. L. William and Khan, Nawaz (2010): Information seeking behaviour model as a theoretical lens: high and low literate users behaviour process analysed. In: Proceedings of the 2010 Annual European Conference on Cognitive Ergonomics 2010. pp. 117-124.

“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.”

© All rights reserved Kodagoda et al. and/or their publisher

2009
 
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Kodagoda, Neesha, Wong, B. L. William and Khan, Nawaz (2009): Cognitive Task Analysis of Low and High Literacy Users: Experiences in Using Grounded Theory and Emergent Themes Analysis. In: Proceedings of the Human Factors and Ergonomics Society 53rd Annual Meeting 2009. pp. 319-323.

“The purpose of this paper is to describe the advantages, experiences, observations and the findings made during the use of two different qualitative data analysis approaches: Grounded Theory and Emergent Themes Analysis. The study carried out evaluated low and high literacy user information seeking behaviour characteristics of UKs "Adviceguide" website. We discuss the use of more than one Cognitive Task Analysis (CTA) method, such as process tracing, observation and interviews, can overcame limitations of each method and optimise the outcomes.”

© All rights reserved Kodagoda et al. and/or their publisher

 
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URL: http://www.interaction-design.org/references/authors/nawaz_khan.html
May 23

“ Knowledge is commonly socially constructed, through collaborative efforts towards shared objectives or by dialogues and challenges brought about by different persons' perspectives. ”

-- G. Salomon (in "Distributed Cognitions: Psychological and Educational Considerations")

 
 

Featured chapter

Read the fascinating history of Wearable Computing, told by its father, Steve Mann

Read Steve's chapter !

 
 

Help us help you!

 
 
 
 
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