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      "titles": [
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          "title": "Analysis Tools for Crossover Experiment of UI using Choice Architecture"
        }
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      "publicationYear": 2016,
      "subjects": [
        {
          "subject": "choice architecture"
        },
        {
          "subject": "crossover experiment"
        },
        {
          "subject": "hci"
        }
      ],
      "contributors": [],
      "dates": [
        {
          "date": "2016-03-27",
          "dateType": "Issued"
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      "version": "v1.0",
      "rightsList": [
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          "rights": "Creative Commons Attribution Non Commercial Share Alike 4.0 International",
          "rightsUri": "https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode",
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          "description": "This tools are used to analyse the data produced by the Crosssover Experiment I designed to test Choice Architecture techniques as UI interventions in a SEEk4Science data catalogue. It contains: - Data structures for the experimental data.<br> - Visualisation functions<br> - Analysis functions ## Installation - R<br> - python<br> - ipython 4 Clone and use. ## Usage <br> ```python<br> source('parallel_plot.r')<br> with(z, parallelset(trt,response, freq=count, alpha=0.2))<br> ``` <br> ## Contributing 1. Fork it!<br> 2. Create your feature branch: `git checkout -b my-new-feature`<br> 3. Commit your changes: `git commit -am 'Add some feature'`<br> 4. Push to the branch: `git push origin my-new-feature`<br> 5. Submit a pull request :D <br> ## License This work supports my PhD Thesis at University of Manchester.",
          "descriptionType": "Abstract"
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