Investigating the interactions between individuals with disabilities and information retrieval systems: A review of help‐seeking situations, search tactics, and design recommendations. An Annual Review of Information Science and Technology (ARIST) paper
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| Title: | Investigating the interactions between individuals with disabilities and information retrieval systems: A review of help‐seeking situations, search tactics, and design recommendations. An Annual Review of Information Science and Technology (ARIST) paper |
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| Authors: | Xie, Iris1 (AUTHOR) hiris@uwm.edu, Choi, Wonchan1 (AUTHOR), Lee, Hyun Seung1 (AUTHOR), Hong, Bo Hyun1 (AUTHOR), Wang, Shengang1 (AUTHOR) |
| Source: | Journal of the Association for Information Science & Technology. Jan2026, Vol. 77 Issue 1, p62-91. 30p. |
| Subjects: | Database searching, Research funding, Systems design, Information storage & retrieval systems, Help-seeking behavior, Sensory disorders, Movement disorders, Information technology, Systematic reviews, Information retrieval, Cognition disorders, Conceptual structures, Needs assessment, People with disabilities, Access to information, Information-seeking behavior |
| Abstract: | People with disabilities face barriers when engaging with information retrieval (IR) systems due to designs that overlook their needs. This systematic literature review explores research for individuals with disabilities interacting with IR systems. Relevant theories concerning disabilities were examined, and the gap model was used as the theoretical framework that guided the review. This review covers relevant research published from 2000 to 2023, focusing on user groups with sensory, cognitive, and motor impairments. The main topics are help‐seeking situations encountered by these user groups in various IR systems due to system design not meeting user needs, and search tactics applied by users with different types of disabilities corresponding to various help‐seeking situations. Design recommendations for IR systems and platforms were also examined. Key limitations in existing research and the authors' reflections are highlighted, including a lack of theories on the interactions between people with disabilities and IR systems, imbalanced research on and misclassification between different types of impairments, unclear distinctions between accessibility and usability, unexplored IR issues in mobile environments, and inadequate existing IR system designs, along with the challenges posed by one‐size‐fits‐all design. Further research opportunities are also proposed. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of the Association for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 190955754 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Investigating the interactions between individuals with disabilities and information retrieval systems: A review of help‐seeking situations, search tactics, and design recommendations. An Annual Review of Information Science and Technology (ARIST) paper – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Xie%2C+Iris%22">Xie, Iris</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> hiris@uwm.edu</i><br /><searchLink fieldCode="AR" term="%22Choi%2C+Wonchan%22">Choi, Wonchan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Lee%2C+Hyun+Seung%22">Lee, Hyun Seung</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hong%2C+Bo+Hyun%22">Hong, Bo Hyun</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Shengang%22">Wang, Shengang</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Association+for+Information+Science+%26+Technology%22">Journal of the Association for Information Science & Technology</searchLink>. Jan2026, Vol. 77 Issue 1, p62-91. 30p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Database+searching%22">Database searching</searchLink><br /><searchLink fieldCode="DE" term="%22Research+funding%22">Research funding</searchLink><br /><searchLink fieldCode="DE" term="%22Systems+design%22">Systems design</searchLink><br /><searchLink fieldCode="DE" term="%22Information+storage+%26+retrieval+systems%22">Information storage & retrieval systems</searchLink><br /><searchLink fieldCode="DE" term="%22Help-seeking+behavior%22">Help-seeking behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Sensory+disorders%22">Sensory disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Movement+disorders%22">Movement disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Information+technology%22">Information technology</searchLink><br /><searchLink fieldCode="DE" term="%22Systematic+reviews%22">Systematic reviews</searchLink><br /><searchLink fieldCode="DE" term="%22Information+retrieval%22">Information retrieval</searchLink><br /><searchLink fieldCode="DE" term="%22Cognition+disorders%22">Cognition disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Conceptual+structures%22">Conceptual structures</searchLink><br /><searchLink fieldCode="DE" term="%22Needs+assessment%22">Needs assessment</searchLink><br /><searchLink fieldCode="DE" term="%22People+with+disabilities%22">People with disabilities</searchLink><br /><searchLink fieldCode="DE" term="%22Access+to+information%22">Access to information</searchLink><br /><searchLink fieldCode="DE" term="%22Information-seeking+behavior%22">Information-seeking behavior</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: People with disabilities face barriers when engaging with information retrieval (IR) systems due to designs that overlook their needs. This systematic literature review explores research for individuals with disabilities interacting with IR systems. Relevant theories concerning disabilities were examined, and the gap model was used as the theoretical framework that guided the review. This review covers relevant research published from 2000 to 2023, focusing on user groups with sensory, cognitive, and motor impairments. The main topics are help‐seeking situations encountered by these user groups in various IR systems due to system design not meeting user needs, and search tactics applied by users with different types of disabilities corresponding to various help‐seeking situations. Design recommendations for IR systems and platforms were also examined. Key limitations in existing research and the authors' reflections are highlighted, including a lack of theories on the interactions between people with disabilities and IR systems, imbalanced research on and misclassification between different types of impairments, unclear distinctions between accessibility and usability, unexplored IR issues in mobile environments, and inadequate existing IR system designs, along with the challenges posed by one‐size‐fits‐all design. Further research opportunities are also proposed. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of the Association for Information Science & Technology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=190955754 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/asi.24997 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 30 StartPage: 62 Subjects: – SubjectFull: Database searching Type: general – SubjectFull: Research funding Type: general – SubjectFull: Systems design Type: general – SubjectFull: Information storage & retrieval systems Type: general – SubjectFull: Help-seeking behavior Type: general – SubjectFull: Sensory disorders Type: general – SubjectFull: Movement disorders Type: general – SubjectFull: Information technology Type: general – SubjectFull: Systematic reviews Type: general – SubjectFull: Information retrieval Type: general – SubjectFull: Cognition disorders Type: general – SubjectFull: Conceptual structures Type: general – SubjectFull: Needs assessment Type: general – SubjectFull: People with disabilities Type: general – SubjectFull: Access to information Type: general – SubjectFull: Information-seeking behavior Type: general Titles: – TitleFull: Investigating the interactions between individuals with disabilities and information retrieval systems: A review of help‐seeking situations, search tactics, and design recommendations. An Annual Review of Information Science and Technology (ARIST) paper Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Xie, Iris – PersonEntity: Name: NameFull: Choi, Wonchan – PersonEntity: Name: NameFull: Lee, Hyun Seung – PersonEntity: Name: NameFull: Hong, Bo Hyun – PersonEntity: Name: NameFull: Wang, Shengang IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 23301635 Numbering: – Type: volume Value: 77 – Type: issue Value: 1 Titles: – TitleFull: Journal of the Association for Information Science & Technology Type: main |
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