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Supporting Information Search by Older Adults

Published: 05 September 2016 Publication History

Abstract

Using cognitive models of web-navigation to generate support has long been a topic of research. In this paper, we address two limitations in this area. First, these models have so far been used to generate support for navigation within a website and not for interaction with a search engine. Second, very few studies have looked at the usefulness of such model-generated support for older adults who are known to be less efficient than younger adults. An experiment with 24 younger and 24 older adults on six simple and six difficult information search tasks was conducted. Results showed that the semantic relevance of queries showed a decreasing trend across reformulations for older adults and remained constant for younger adults, indicating that as older adults reformulated, they produced queries that were further away from the target information, which could be the reason for their lower efficiency. Based on these outcomes, two types of model-generated support mechanisms for interaction with a search engine are proposed, one which visually highlights the most relevant search result given a query and the other which monitors the average semantic relevance of search results for a given query and warns the user if it falls below a threshold.

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Cited By

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  • (2021)Designing web search UI for the elderly community: a systematic literature reviewJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-020-02772-8Online publication date: 4-Jan-2021
  • (2020)Cognitive Modeling of Age and Domain Knowledge Differences in Information SearchUnderstanding and Improving Information Search10.1007/978-3-030-38825-6_4(47-68)Online publication date: 30-May-2020
  1. Supporting Information Search by Older Adults

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    cover image ACM Other conferences
    ECCE '16: Proceedings of the European Conference on Cognitive Ergonomics
    September 2016
    193 pages
    ISBN:9781450342445
    DOI:10.1145/2970930
    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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    • EACE: European Association for Cognitive Ergonomics

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 05 September 2016

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    Author Tags

    1. Aging
    2. Cognitive Model
    3. Information Search
    4. Support

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    ECCE '16
    ECCE '16: European Conference on Cognitive Ergonomics
    September 5 - 8, 2016
    Nottingham, United Kingdom

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    ECCE '16 Paper Acceptance Rate 27 of 37 submissions, 73%;
    Overall Acceptance Rate 56 of 91 submissions, 62%

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    Cited By

    View all
    • (2021)Designing web search UI for the elderly community: a systematic literature reviewJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-020-02772-8Online publication date: 4-Jan-2021
    • (2020)Cognitive Modeling of Age and Domain Knowledge Differences in Information SearchUnderstanding and Improving Information Search10.1007/978-3-030-38825-6_4(47-68)Online publication date: 30-May-2020

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