Imagen de Portada
Código QR

Assessment of visual demand of typical data entry tasks in automotive navigation systems for iPhone.

This paper aims to present an assessment of the visual demand of typical data entry tasks in two popular navigation systems among iPhone Brazilians users - TomTom App and iGO Primo App. Applying the extended KLM technique, the total times to perform the tasks with interruptions were estimated, with...

Descripción completa

Publicado en:Work Vol. 41; pp. 6139 - 6145
Autor principal: Quaresma, Manuela
Formato: pictorial research tables/charts Journal Article
Publicado: Sage Publications Inc. 2012 Supplement
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=139613431&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 139613431
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        10519815
        3RC
      jtl: Work
      issn: 10519815
      maglogo: N
    pubinfo:
      dt: 2012 Supplement
      vid: 41
      pid: 344
      pub: Sage Publications Inc.
      place: Thousand Oaks, California
    artinfo:
      ui:
        139613431
        139613431
        139613431
        10.3233/WOR-2012-1074-6139
        139613431
      ppf: 6139
      ppct: 6
      formats:
        fmt:
          @attributes:
            type: P
      tig:
        atl: Assessment of visual demand of typical data entry tasks in automotive navigation systems for iPhone.
      aug:
        au: Quaresma, Manuela
        affil: LEUI Laboratory of Ergonomics and Usability of Interfaces in Human-Technology Systems, PUC-Rio Pontifical Catholic University of Rio de Janeiro, Rua Marquês de São Vicente, 225 – 713F, 22451-900 Rio de Janeiro/RJ, Brazil
      sug:
        subj:
          Smartphone
          Global Positioning System
          Task Performance and Analysis
          Distraction
          Visual Perception
          Human
          Distracted Driving
          Usability Study
          User-Computer Interface
          Descriptive Statistics
          Mobile Applications
      ab: This paper aims to present an assessment of the visual demand of typical data entry tasks in two popular navigation systems among iPhone Brazilians users - TomTom App and iGO Primo App. Applying the extended KLM technique, the total times to perform the tasks with interruptions were estimated, with which it was possible to evaluate the potential for driver distraction as per criteria established by some recommended practices of automotive industry. With the results obtained, it was identified that the main issues that lead to increased visual demand afforded by the systems are related to the amount of screens that are required in the process of data entry and the failure to implement iOS features in applications developed for it.
      pubtype: Academic Journal
      doctype:
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N