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Behaviour characteristics: low and high literacy users information seeking on social service websites

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CHINZ '09: Proceedings of the 10th International Conference NZ Chapter of the ACM's Special Interest Group on Human-Computer Interaction

Pages 13 - 16

https://doi.org/10.1145/1577782.1577785

Published: 06 July 2009 Publication History

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Abstract

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.

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Srivastava AKapania STuli ASingh P(2021)Actionable UI Design Guidelines for Smartphone Applications Inclusive of Low-Literate UsersProceedings of the ACM on Human-Computer Interaction10.1145/34492105:CSCW1(1-30)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449210
Thapa-Chhetry BKeck T(2019)A chrome app for improving reading comprehension of health information online for individuals with low health literacyProceedings of the 1st International Workshop on Software Engineering for Healthcare10.1109/SEH.2019.00018(57-64)Online publication date: 27-May-2019
https://dl.acm.org/doi/10.1109/SEH.2019.00018
Tucker SSummers KMcGowan TKlimas C(2018)Evaluating the Benefit of Accordion Web Elements for Low Literacy PopulationsDesign, User Experience, and Usability: Users, Contexts and Case Studies10.1007/978-3-319-91806-8_58(743-755)Online publication date: 2-Jun-2018
https://doi.org/10.1007/978-3-319-91806-8_58
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Index Terms

Behaviour characteristics: low and high literacy users information seeking on social service websites
1. Human-centered computing
  1. Human computer interaction (HCI)

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We investigated the differences in information seeking behaviours between low and high literacy users on an on-line social service system called the "Adviseguide" website. Ten volunteers participated in the study. Using the UK's National Skills for Life ...
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BCS-HCI '08: Proceedings of the 22nd British HCI Group Annual Conference on People and Computers: Culture, Creativity, Interaction - Volume 1

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 ...

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CHINZ '09: Proceedings of the 10th International Conference NZ Chapter of the ACM's Special Interest Group on Human-Computer Interaction

July 2009

113 pages

ISBN:9781605585741

DOI:10.1145/1577782

Program Chair:
Beryl Plimmer
University of Auckland

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 06 July 2009

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CHINZ' 09: 10th Annual Conference of the NZ ACM Special Interest Group on Human-Computer Interaction

July 6 - 7, 2009

Auckland, New Zealand

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Srivastava AKapania STuli ASingh P(2021)Actionable UI Design Guidelines for Smartphone Applications Inclusive of Low-Literate UsersProceedings of the ACM on Human-Computer Interaction10.1145/34492105:CSCW1(1-30)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449210
Thapa-Chhetry BKeck T(2019)A chrome app for improving reading comprehension of health information online for individuals with low health literacyProceedings of the 1st International Workshop on Software Engineering for Healthcare10.1109/SEH.2019.00018(57-64)Online publication date: 27-May-2019
https://dl.acm.org/doi/10.1109/SEH.2019.00018
Tucker SSummers KMcGowan TKlimas C(2018)Evaluating the Benefit of Accordion Web Elements for Low Literacy PopulationsDesign, User Experience, and Usability: Users, Contexts and Case Studies10.1007/978-3-319-91806-8_58(743-755)Online publication date: 2-Jun-2018
https://doi.org/10.1007/978-3-319-91806-8_58
Summers KAlton NHaraseyko ASherard R(2018)Bridging the Digital Divide: One Smartphone at a TimeDesign, User Experience, and Usability: Designing Interactions10.1007/978-3-319-91803-7_49(653-672)Online publication date: 2-Jun-2018
https://doi.org/10.1007/978-3-319-91803-7_49

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Identifying information seeking behaviours of low and high literacy users: combined cognitive task analysis

Overview of Behaviour Characteristics of High and Low Literacy Users: Information Seeking of an Online Social Service System

Effects of low & high literacy on user performance in information search and retrieval

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