View in EDS HTML Full Text PDF Full Text

HCI for Future Mobility.

Saved in:
Bibliographic Details
Title: HCI for Future Mobility.
Authors: Lee, Seul Chan1 (AUTHOR), Jeon, Myounghoon2 (AUTHOR), Stojmenova, Kristina3 (AUTHOR), Fakhrhosseini, Maryam4 (AUTHOR), Ji, Yong Gu5 (AUTHOR)
Source: International Journal of Human-Computer Interaction. Oct2023, Vol. 39 Issue 16, p3159-3161. 3p.
Subjects: Motor vehicle driving, In-vehicle computing, Human-computer interaction, Automobile driving, Intelligent transportation systems
Abstract: They found that drivers showed different self-regulation behaviors depending on levels of driving automation, vehicle speed, and road curvature. Effects of visual complexity of in-vehicle information display: Age-related differences in visual search task in the driving context. Miller et al. ("Learning in mixed traffic: Drivers' adaption to ambiguous communication depending on their expectations towards automated and manual vehicles") examined how drivers interact differently with automated or manual vehicles in a mixed traffic condition, assuming that road users might be more insecure when interacting with AVs than with manual driving vehicles based on their expectation using both bottom-up and top-down processes. Mobility has played an important role in the development of human society, and various vehicles have been developed and utilized throughout history. [Extracted from the article]
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: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 171338894
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: HCI for Future Mobility.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Lee%2C+Seul+Chan%22">Lee, Seul Chan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jeon%2C+Myounghoon%22">Jeon, Myounghoon</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Stojmenova%2C+Kristina%22">Stojmenova, Kristina</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Fakhrhosseini%2C+Maryam%22">Fakhrhosseini, Maryam</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ji%2C+Yong+Gu%22">Ji, Yong Gu</searchLink><relatesTo>5</relatesTo> (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>. Oct2023, Vol. 39 Issue 16, p3159-3161. 3p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Motor+vehicle+driving%22">Motor vehicle driving</searchLink><br /><searchLink fieldCode="DE" term="%22In-vehicle+computing%22">In-vehicle computing</searchLink><br /><searchLink fieldCode="DE" term="%22Human-computer+interaction%22">Human-computer interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Automobile+driving%22">Automobile driving</searchLink><br /><searchLink fieldCode="DE" term="%22Intelligent+transportation+systems%22">Intelligent transportation systems</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: They found that drivers showed different self-regulation behaviors depending on levels of driving automation, vehicle speed, and road curvature. Effects of visual complexity of in-vehicle information display: Age-related differences in visual search task in the driving context. Miller et al. ("Learning in mixed traffic: Drivers' adaption to ambiguous communication depending on their expectations towards automated and manual vehicles") examined how drivers interact differently with automated or manual vehicles in a mixed traffic condition, assuming that road users might be more insecure when interacting with AVs than with manual driving vehicles based on their expectation using both bottom-up and top-down processes. Mobility has played an important role in the development of human society, and various vehicles have been developed and utilized throughout history. [Extracted from the article]
– 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=egs&AN=171338894
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1080/10447318.2023.2233721
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 3
        StartPage: 3159
    Subjects:
      – SubjectFull: Motor vehicle driving
        Type: general
      – SubjectFull: In-vehicle computing
        Type: general
      – SubjectFull: Human-computer interaction
        Type: general
      – SubjectFull: Automobile driving
        Type: general
      – SubjectFull: Intelligent transportation systems
        Type: general
    Titles:
      – TitleFull: HCI for Future Mobility.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Lee, Seul Chan
      – PersonEntity:
          Name:
            NameFull: Jeon, Myounghoon
      – PersonEntity:
          Name:
            NameFull: Stojmenova, Kristina
      – PersonEntity:
          Name:
            NameFull: Fakhrhosseini, Maryam
      – PersonEntity:
          Name:
            NameFull: Ji, Yong Gu
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 10
              Text: Oct2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 10447318
          Numbering:
            – Type: volume
              Value: 39
            – Type: issue
              Value: 16
          Titles:
            – TitleFull: International Journal of Human-Computer Interaction
              Type: main
ResultId 1