Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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 b users abandon their online searches early believing that the information they re looking for should be in the section they re at, thinking that they have either found it or that the information was unavailable.  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 bsite. The qualitative data collected re analysed using Emergent Themes Analysis (ETA). Results shod 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 flad 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.  believe these differences in classification models may contribute to premature abandonment of online searches by low-literate users.
['Neesha Kodagoda', 'B. L. William Wong', 'Nawaz Khan']
I am writing a research paper on a idea Open-card sort to explain why low-literate usersabandon their web searches early
[{"from": "human", "value": "I am writing a research paper on a idea Open-card sort to explain why low-literate usersabandon their web searches early"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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 b users abandon their online searches early believing that the information they re looking for should be in the section they re at, thinking that they have either found it or that the information was unavailable.  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 bsite. The qualitative data collected re analysed using Emergent Themes Analysis (ETA). Results shod 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 flad 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.  believe these differences in classification models may contribute to premature abandonment of online searches by low-literate users."}]