View in EDS HTML Full Text PDF Full Text

Mobile Interface Design Patterns and Attentional Maps.

Saved in:
Bibliographic Details
Title: Mobile Interface Design Patterns and Attentional Maps.
Authors: Still, Jeremiah D. (AUTHOR)
Source: International Journal of Human-Computer Interaction. Oct2025, Vol. 41 Issue 19, p12404-12413. 10p.
Subjects: User experience, Eye tracking, Gaze, Touch screen interfaces, Selectivity (Psychology), Long-term memory, Visual perception
Abstract: A key user experience outcome for mobile interface designers is search efficiency. Task goals, experience, and salience influence visual searches. Still and Hicks showed that experience with general mobile design patterns can be represented as an attentional map (i.e., appears as a "railroad track" bias). The aim of this research was to examine design patterns that are more specific than an overall generic attentional map. Three common mobile design patterns (checkout, storefront, walk-through) were identified and used to generate specific attentional maps. Eye-tracking data was collected while participants free-viewed mobile screenshots of the targeted design patterns. The area under the Receiver Operating Characteristics curve was employed as the dependent measure. The performance of the specific maps was computationally contrasted against themselves, the generic map, and the saliency maps. Differences due to earlier and later attentional deployment were also examined. The effectiveness of a generic attentional map was replicated; this helps reconfirm its role in earlier attentional deployment. Contrasting the three common design patterns revealed characteristics impacting their effectiveness as an attentional map. It was discovered that a specific map approach accounted for walk-through design patterns well. A generic map was found to represent Storefront and Checkout design patterns. A discussion of the relationship between a user's long-term memory for design patterns and saliency processing is provided. Designers can employ these attentional maps and a better understanding of the influences on search efficiency to create improved experiences. [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: 188157086
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Mobile Interface Design Patterns and Attentional Maps.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Still%2C+Jeremiah+D%2E%22">Still, Jeremiah D.</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>. Oct2025, Vol. 41 Issue 19, p12404-12413. 10p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22User+experience%22">User experience</searchLink><br /><searchLink fieldCode="DE" term="%22Eye+tracking%22">Eye tracking</searchLink><br /><searchLink fieldCode="DE" term="%22Gaze%22">Gaze</searchLink><br /><searchLink fieldCode="DE" term="%22Touch+screen+interfaces%22">Touch screen interfaces</searchLink><br /><searchLink fieldCode="DE" term="%22Selectivity+%28Psychology%29%22">Selectivity (Psychology)</searchLink><br /><searchLink fieldCode="DE" term="%22Long-term+memory%22">Long-term memory</searchLink><br /><searchLink fieldCode="DE" term="%22Visual+perception%22">Visual perception</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: A key user experience outcome for mobile interface designers is search efficiency. Task goals, experience, and salience influence visual searches. Still and Hicks showed that experience with general mobile design patterns can be represented as an attentional map (i.e., appears as a "railroad track" bias). The aim of this research was to examine design patterns that are more specific than an overall generic attentional map. Three common mobile design patterns (checkout, storefront, walk-through) were identified and used to generate specific attentional maps. Eye-tracking data was collected while participants free-viewed mobile screenshots of the targeted design patterns. The area under the Receiver Operating Characteristics curve was employed as the dependent measure. The performance of the specific maps was computationally contrasted against themselves, the generic map, and the saliency maps. Differences due to earlier and later attentional deployment were also examined. The effectiveness of a generic attentional map was replicated; this helps reconfirm its role in earlier attentional deployment. Contrasting the three common design patterns revealed characteristics impacting their effectiveness as an attentional map. It was discovered that a specific map approach accounted for walk-through design patterns well. A generic map was found to represent Storefront and Checkout design patterns. A discussion of the relationship between a user's long-term memory for design patterns and saliency processing is provided. Designers can employ these attentional maps and a better understanding of the influences on search efficiency to create improved experiences. [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=188157086
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/10447318.2025.2462084
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 10
        StartPage: 12404
    Subjects:
      – SubjectFull: User experience
        Type: general
      – SubjectFull: Eye tracking
        Type: general
      – SubjectFull: Gaze
        Type: general
      – SubjectFull: Touch screen interfaces
        Type: general
      – SubjectFull: Selectivity (Psychology)
        Type: general
      – SubjectFull: Long-term memory
        Type: general
      – SubjectFull: Visual perception
        Type: general
    Titles:
      – TitleFull: Mobile Interface Design Patterns and Attentional Maps.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Still, Jeremiah D.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: Oct2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 10447318
          Numbering:
            – Type: volume
              Value: 41
            – Type: issue
              Value: 19
          Titles:
            – TitleFull: International Journal of Human-Computer Interaction
              Type: main
ResultId 1