Intersectional HCI on a Budget: An Analytical Approach Powered by Types.

Saved in:
Bibliographic Details
Title: Intersectional HCI on a Budget: An Analytical Approach Powered by Types.
Authors: Fallatah, Abrar (AUTHOR), Hamid, Md Montaser (AUTHOR), Moussaoui, Fatima A. (AUTHOR), Chikezie, Chimdi (AUTHOR), Erwig, Martin (AUTHOR), Bogart, Christopher (AUTHOR), Sarma, Anita (AUTHOR), Burnett, Margaret (AUTHOR)
Source: International Journal of Human-Computer Interaction. Nov2025, Vol. 41 Issue 21, p13599-13622. 24p.
Subjects: Human-computer interaction, Group identity, Diversity & inclusion policies, Quantitative research, Design science, User-centered system design, Empirical research
Abstract: Intersectional HCI recognizes that humans' interconnected social identities shape their experiences with technology. However, intersectional HCI requires extensive resources, such as access to intersectional populations, which many HCI practitioners may lack. For these practitioners, we present an analytical approach to bring intersectional lenses to HCI practices. The approach uses types—not at the level of identities, but at the level of personal traits drawn from foundational research. We first formally prove that certain analytical methods for detecting inclusivity issues can be meaningfully composed to provide equitable consideration of typically overlooked populations; then present four design use-cases to illustrate what the approach brings to HCI practices; and then empirically investigated one of the four use-cases with 24 HCI participants. Results show that practitioners using the compositional approach detected even more intersectional inclusivity problems than those using a complementary intersectional approach. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd 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: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 188923576
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Intersectional HCI on a Budget: An Analytical Approach Powered by Types.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Fallatah%2C+Abrar%22">Fallatah, Abrar</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Hamid%2C+Md+Montaser%22">Hamid, Md Montaser</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Moussaoui%2C+Fatima+A%2E%22">Moussaoui, Fatima A.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Chikezie%2C+Chimdi%22">Chikezie, Chimdi</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Erwig%2C+Martin%22">Erwig, Martin</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Bogart%2C+Christopher%22">Bogart, Christopher</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sarma%2C+Anita%22">Sarma, Anita</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Burnett%2C+Margaret%22">Burnett, Margaret</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. Nov2025, Vol. 41 Issue 21, p13599-13622. 24p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Human-computer+interaction%22">Human-computer interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Group+identity%22">Group identity</searchLink><br /><searchLink fieldCode="DE" term="%22Diversity+%26+inclusion+policies%22">Diversity & inclusion policies</searchLink><br /><searchLink fieldCode="DE" term="%22Quantitative+research%22">Quantitative research</searchLink><br /><searchLink fieldCode="DE" term="%22Design+science%22">Design science</searchLink><br /><searchLink fieldCode="DE" term="%22User-centered+system+design%22">User-centered system design</searchLink><br /><searchLink fieldCode="DE" term="%22Empirical+research%22">Empirical research</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Intersectional HCI recognizes that humans' interconnected social identities shape their experiences with technology. However, intersectional HCI requires extensive resources, such as access to intersectional populations, which many HCI practitioners may lack. For these practitioners, we present an analytical approach to bring intersectional lenses to HCI practices. The approach uses types—not at the level of identities, but at the level of personal traits drawn from foundational research. We first formally prove that certain analytical methods for detecting inclusivity issues can be meaningfully composed to provide equitable consideration of typically overlooked populations; then present four design use-cases to illustrate what the approach brings to HCI practices; and then empirically investigated one of the four use-cases with 24 HCI participants. Results show that practitioners using the compositional approach detected even more intersectional inclusivity problems than those using a complementary intersectional approach. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd 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=pbh&AN=188923576
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/10447318.2025.2474494
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 24
        StartPage: 13599
    Subjects:
      – SubjectFull: Human-computer interaction
        Type: general
      – SubjectFull: Group identity
        Type: general
      – SubjectFull: Diversity & inclusion policies
        Type: general
      – SubjectFull: Quantitative research
        Type: general
      – SubjectFull: Design science
        Type: general
      – SubjectFull: User-centered system design
        Type: general
      – SubjectFull: Empirical research
        Type: general
    Titles:
      – TitleFull: Intersectional HCI on a Budget: An Analytical Approach Powered by Types.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Fallatah, Abrar
      – PersonEntity:
          Name:
            NameFull: Hamid, Md Montaser
      – PersonEntity:
          Name:
            NameFull: Moussaoui, Fatima A.
      – PersonEntity:
          Name:
            NameFull: Chikezie, Chimdi
      – PersonEntity:
          Name:
            NameFull: Erwig, Martin
      – PersonEntity:
          Name:
            NameFull: Bogart, Christopher
      – PersonEntity:
          Name:
            NameFull: Sarma, Anita
      – PersonEntity:
          Name:
            NameFull: Burnett, Margaret
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 11
              Text: Nov2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 10447318
          Numbering:
            – Type: volume
              Value: 41
            – Type: issue
              Value: 21
          Titles:
            – TitleFull: International Journal of Human-Computer Interaction
              Type: main
ResultId 1