Publication statistics
Pub. period:2008-2011
Pub. count:8
Number of co-authors:17
Co-authors
Number of publications with 3 favourite co-authors:
B. L. William Wong:4William Wong:3Nawaz Khan:3 Productive colleagues
Neesha Kodagoda's 3 most productive colleagues in number of publications:
Susan M. Dray:51Ann Light:28John C. Thomas:27
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Neesha Kodagoda
Publications by Neesha Kodagoda (bibliography)
Wong, William, Chen, Raymond, Kodagoda, Neesha, Rooney, Chris and Xu, Kai (2011): INVISQUE: intuitive information exploration through interactive visualization. In: Proceedings of ACM CHI 2011 Conference on Human Factors in Computing Systems 2011. pp. 311-316.
“In this paper we present INVISQUE, a novel system designed for interactive information exploration. Instead of a conventional list-style arrangement, in INVISQUE information is represented by a two-dimensional spatial canvas, with each dimension representing user-defined semantics. Search results are presented as index cards, ordered in both dimensions. Intuitive interactions are used to perform tasks such as keyword searching, results browsing, categorizing, and linking to online resources such as Google and Twitter. The interaction-based query style also naturally lends the system to different types of user input such as multi-touch gestures. As a result, INVISQUE gives users a much more intuitive and smooth experience of exploring large information spaces.”
© All rights reserved Wong et al. and/or their publisher
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
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
Sambasivan, Nithya, Ho, Melissa, Kam, Matthew, Kodagoda, Neesha, Dray, Susan M., Thomas, John C., Light, Ann and Toyama, Kentaro (2009): Human-centered computing in international development. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 4745-4750.
“This workshop continues the dialog on exploring the challenges in applying, extending, and inventing appropriate methods and contributions of Humancentered Computing (HCC) to International economic and community development, borne out of tremendously successful HCI4D workshops at CHI 2007 and 2008. The workshop aims at 1) providing a platform to discuss interaction design practices that allow for meaningful embedding of interactive systems in the cultural, infrastructural, and political settings where they will be used 2) addressing interaction design issues in developing regions, as well as areas in the developed world marginalized by poverty or other barriers. We hope to continue to extend the boundaries of the field of Human-centered Computing (HCC) by spurring on more discussion on how existing methods and practices can be adapted/ modified, and how new practices be developed, to combat.”
© All rights reserved Sambasivan et al. and/or ACM Press
Kodagoda, Neesha, Wong, William and Kahan, Nawaz (2009): Behaviour characteristics: low and high literacy users information seeking on social service websites. In: Proceedings of CHINZ09, the ACM SIGCHI New Zealand Chapters International Conference on Computer-Human Interaction 2009. pp. 13-16.
“This paper describes the behaviour characteristics of low and high literacy users, information seeking of an on-line social service system. The finding of this paper is based on the qualitative study which involves ten volunteers participated in this study. To classify these participants within the literacy scale, National Skills for Life Survey is used. According to this survey, five volunteers are classified as high literate; and the remaining were as low literate. All participants were asked to think-aloud whilst carrying out the information search using the "Adviceguide" website. The four information search tasks were of varying difficulty; easy, medium and difficult. Observations, video recording and a semi-structured interview technique that use cognitive probes were used. The qualitative data were transcribed and analysed using Grounded Theory and Emergent Themes Analysis approach. The eight characteristics of what identified; Verification, Reading, Recovery, Trajectories, Focus, Satisfied, Representation and Abandon. Results showed that low and high literacy users demonstrated critically different behaviour characteristics.”
© All rights reserved Kodagoda et al. and/or ACM Press
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
Kodagoda, Neesha and Wong, B. L. William (2008): Effects of Low & High Literacy on User Performance in Information Search and Retrieval. In: Proceedings of the HCI08 Conference on People and Computers XXII 2008. pp. 173-181.
“This study was part of research into understanding the nature of how low literacy users search for and retrieve information, and to therefore develop systems and user interface designs that would empower low literacy users to find information they need in the rapidly evolving e-government and e-social services environment. We compared information search and retrieval performance between high and low literacy users of a Citizens Advice Bureau information kiosk system in the UK. The kiosk provided self-help information in a number of social services areas. Six high literacy and six low literacy users were presented with information search tasks classified as having low, medium and high complexity. Key results indicate that (i) low literacy users take eight times more time than high literacy users to complete an information search task, and yet were significantly less accurate, (ii) low literacy users on average spent one-third more time on a web page than high literacy users, but did not seem to be informed by it, (iii) low literacy users employed a much less focused information search strategy than high literacy users visiting eight times more web pages in total, (iv) low literacy users back-tracked 13 times more frequently than high literacy users, and are four times more likely to re-visit web pages, and (v) low literacy users are 13 times more likely to be lost than high literacy users.”
© All rights reserved Kodagoda and Wong and/or their publisher
Jarrett, Caroline, Grant, Katie, Wong, William, Kodagoda, Neesha and Summers, Kathryn (2008): Designing for People who do not Read Easily. In: Proceedings of the HCI08 Conference on People and Computers XXII 2008. pp. 201-202.
“Many people do not read easily for all sorts of reasons: social and cultural, because of impairments, or because of their context. Even in the area of impairments, design for people with learning disabilities might be very different from design for people with visual impairments. But many sets of guidelines, such as WCAG 2.0, are promulgated that attempt to provide one unified approach to design. This workshop will attempt to explore issues in design for people who do not read easily: what do we know, what commonalities can we exploit, and what we need to find out.”
© All rights reserved Jarrett et al. and/or their publisher
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