Conference paper Open Access

CoConUT: context collection for non-stationary user testing

Schröder, Svenja; Hirschl, Jakob; Reichl, Peter


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{
  "description": "<p>CoConUT is an Android app for collecting the mobile context as well as the frequency of interactions during mobile field studies (for example usability studies) using sensor data on the test device. For evaluation purposes the recorded user trial sessions can be visually explored. This facilitates an assessment of the user's attention patterns and enables the detection of limited cognitive resources caused by distracting contextual factors. The app was tested in a preliminary study for technical feasibility and is planned to be extended in the near future.</p>", 
  "license": "http://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "University of Vienna", 
      "@type": "Person", 
      "name": "Schr\u00f6der, Svenja"
    }, 
    {
      "affiliation": "University of Vienna", 
      "@type": "Person", 
      "name": "Hirschl, Jakob"
    }, 
    {
      "affiliation": "University of Vienna", 
      "@type": "Person", 
      "name": "Reichl, Peter"
    }
  ], 
  "headline": "CoConUT: context collection for non-stationary user testing", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2016-09-06", 
  "url": "https://zenodo.org/record/851647", 
  "keywords": [
    "Human Factors", 
    "Usability", 
    "Field Studies", 
    "Mobile Context", 
    "Context", 
    "Attention", 
    "Mobile HCI", 
    "App"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.1145/2957265.2962658", 
  "@id": "https://doi.org/10.1145/2957265.2962658", 
  "@type": "ScholarlyArticle", 
  "name": "CoConUT: context collection for non-stationary user testing"
}
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