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Mixed Presence in Mixed Reality

This repository hosts the survey data and website from the survey paper "Mixed Presence in Mixed Reality: Charting the Challenges and Opportunities" authored by Katja Krug, Wolfgang Büschel, Marc Satkowski, Stefan Gumhold, and Raimund Dachselt.

Reconstruction instructions:

To develop and deploy the website

  1. npm install installs all the libraries you need to get the app running using the list from package.json.
  2. npm run build updates and exports index.html, and the files in dist/assets for a static website.
  3. npm run dev the site locally (localhost) in development mode (updates to src files reload the site).
  4. To deploy to Github Pages, push the index.html on /dist (created by npm run build) onto the gh-pages branch. The folder is in .gitignore so that git checkout does not affect it.

To create data files (python script)

  1. The Survey-Info.csv file contains the core corpus described in the paper. 2. The taxonomy columns accept lists of strings (comma separated), or marks ("x") for values that apply. 3. Name, Year, Authors (comma separated), DOI, Bibtex, and source (default "handpicked") are required.
  2. Create the config and data json files:
    1. create-jsons.py describes the survey categories using the includeProp, categories, and groups dictionaries.
    2. Running the script generates survey-data.json and survey-config.json. WARNING: The script deletes the existing files, if entries have been manually added, they will be lost.
      python create-jsons.py -n "Mixed Presence in Mixed Reality" -d "Charting the Challenges and Opportunities" -a "Katja Krug and Wolfgang Büschel and Marc Satkowski and Stefan Gumhold and Raimund Dachselt" -g "https://github.com/imldresden/mp-survey""
    3. The script prints out warnings for empty fields from the includeProp dictionary. You may use this to enforce value combinations (e.g. "at least one column from group A and one from group B"), or to identify edge cases.
  3. Note that the "topView" entry of survey-config.json must be updated to include orcids and further details about citation (see existing versions in the repository).
  4. Build the website as explained in Running the Webpage to see the created entries.

To manually add papers

After the paper's cut off date, papers should be added by editing the src/data/survey-data.json, under the "data" tag. You can use this template:

"data": [  // array of paper objects
    {
        "Name"   : "[Poster] Visualization of solar radiation data in augmented reality",
        "Year"   : "2014",
        "Bibtex" : "'@INPROCEEDINGS{6948437,\n  author={Beatriz Carmo, Maria and Cl\u00e1udio, ....",
        "DOI"    : "10.1109/ISMAR.2014.6948437",
        "Authors": [
            "M. Beatriz Carmo; A. P. Cl\u00e1udio; A. Ferreira; A. P. Afonso; ...."
        ],
        "source": "handpicked",
    },
]

We welcome such updates via pull requests (which can be generated using the website itself, too)!

Ackwnowledgements:

The website is produced using this survey tool. It is a fork of the Indy Survey Tool from Khoury Vis Lab that differs in style and responsive behavior, which is why it's hosted separately. Big props to them for their initiative!

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survey on mixed presence

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