Dataset Open Access

Supplementary Material for the Paper "Design Recommendations for Self-Monitoring in the Workplace: Studies in Software Development"

Meyer, André N; Murphy, Gail C; Zimmermann, Thomas; Fritz, Thomas


JSON Export

{
  "files": [
    {
      "links": {
        "self": "https://zenodo.org/api/files/8ca3afa6-c488-431c-ae2d-c38f5ea8165c/supplementary_material.zip"
      }, 
      "checksum": "md5:6da0640adfa7039f9c764a64c1fd3b61", 
      "bucket": "8ca3afa6-c488-431c-ae2d-c38f5ea8165c", 
      "key": "supplementary_material.zip", 
      "type": "zip", 
      "size": 7020157
    }
  ], 
  "owners": [
    33193
  ], 
  "doi": "10.5281/zenodo.884052", 
  "stats": {
    "version_unique_downloads": 10.0, 
    "unique_views": 25.0, 
    "views": 32.0, 
    "downloads": 10.0, 
    "unique_downloads": 10.0, 
    "version_unique_views": 25.0, 
    "volume": 70201570.0, 
    "version_downloads": 10.0, 
    "version_views": 32.0, 
    "version_volume": 70201570.0
  }, 
  "links": {
    "doi": "https://doi.org/10.5281/zenodo.884052", 
    "conceptdoi": "https://doi.org/10.5281/zenodo.884051", 
    "bucket": "https://zenodo.org/api/files/8ca3afa6-c488-431c-ae2d-c38f5ea8165c", 
    "conceptbadge": "https://zenodo.org/badge/doi/10.5281/zenodo.884051.svg", 
    "html": "https://zenodo.org/record/884052", 
    "latest_html": "https://zenodo.org/record/884052", 
    "badge": "https://zenodo.org/badge/doi/10.5281/zenodo.884052.svg", 
    "latest": "https://zenodo.org/api/records/884052"
  }, 
  "conceptdoi": "10.5281/zenodo.884051", 
  "created": "2017-09-04T08:18:43.087215+00:00", 
  "updated": "2019-04-10T04:19:42.216211+00:00", 
  "conceptrecid": "884051", 
  "revision": 4, 
  "id": 884052, 
  "metadata": {
    "access_right_category": "success", 
    "doi": "10.5281/zenodo.884052", 
    "description": "<p>Contains the supplementary material for the paper &quot;Design Recommendations for Self-Monitoring in the Workplace: Studies in Software Development&quot; submitted to CSCW&#39;18. All contents are explained in the file README.txt.</p>\n\n<p><strong>Abstract:</strong><br>\nOne way to improve the productivity of knowledge workers is to increase their self-awareness about productivity at work through self-monitoring. Yet, little is known about expectations of, the experience with and the impact of self-monitoring in the workplace. To address this gap, we studied software developers, as one community of knowledge workers. We used an iterative, feedback-driven development approach (N=20) and a survey (N=413) to infer design elements for workplace self-monitoring, which we then implemented as a technology probe called WorkAnalytics. We field-tested these design elements during a three-week study with software development professionals (N=43). Based on the results of the field study, we present design recommendations for self-monitoring in the workplace, such as using experience sampling to increase the awareness about work and to create richer insights, the need for a large variety of different metrics to retrospect about work, and that actionable insights, enriched with benchmarking data from co-workers, are likely needed to foster productive behavior change at work.</p>\n\n<p><strong>Source Code:</strong></p>\n\n<p>The source code of WorkAnalytics can be found on <strong><a href=\"https://github.com/sealuzh/PersonalAnalytics\">GitHub</a></strong> (under the original name PersonalAnalytics). WorkAnalytics was built with Microsoft&#39;s Dot.Net framework in C# and can be used on the Windows 7, 8 and 10 operating system.</p>", 
    "license": {
      "id": "CC-BY-4.0"
    }, 
    "title": "Supplementary Material for the Paper \"Design Recommendations for Self-Monitoring in the Workplace: Studies in Software Development\"", 
    "relations": {
      "version": [
        {
          "count": 1, 
          "index": 0, 
          "parent": {
            "pid_type": "recid", 
            "pid_value": "884051"
          }, 
          "is_last": true, 
          "last_child": {
            "pid_type": "recid", 
            "pid_value": "884052"
          }
        }
      ]
    }, 
    "publication_date": "2017-11-01", 
    "creators": [
      {
        "affiliation": "University of Zurich", 
        "name": "Meyer, Andr\u00e9 N"
      }, 
      {
        "affiliation": "University of British Columbia", 
        "name": "Murphy, Gail C"
      }, 
      {
        "affiliation": "Microsoft Research", 
        "name": "Zimmermann, Thomas"
      }, 
      {
        "affiliation": "University of British Columbia", 
        "name": "Fritz, Thomas"
      }
    ], 
    "meeting": {
      "acronym": "CSCW", 
      "url": "https://cscw.acm.org/2018/", 
      "dates": "November 3-7, 2018", 
      "place": "New York", 
      "title": "Computer-Supported Cooperative Work and Social Computing"
    }, 
    "access_right": "open", 
    "resource_type": {
      "type": "dataset", 
      "title": "Dataset"
    }, 
    "related_identifiers": [
      {
        "scheme": "doi", 
        "identifier": "10.5281/zenodo.884051", 
        "relation": "isVersionOf"
      }
    ]
  }
}
32
10
views
downloads
All versions This version
Views 3232
Downloads 1010
Data volume 70.2 MB70.2 MB
Unique views 2525
Unique downloads 1010

Share

Cite as