Difference between revisions of "2014:GC14UX"

From MIREX Wiki
(Metadata Extracted from JSON Files)
(Metadata Extracted from JSON Files)
Line 26: Line 26:
[album_id        album_image    album_name      artist_id      artist_idstr  artist_name      audio  audiodownload  duration        id      license_ccurl  musicinfo_lang  musicinfo_speed musicinfo_acousticelectric      musicinfo_vocalinstrumental    musicinfo_gender        musicinfo_tags_vartags  musicinfo_tags_genres  musicinfo_tags_instruments      name    position        releasedate    shareurl shorturl]
[album_id        album_image    album_name      artist_id      artist_idstr  artist_name      audio  audiodownload  duration        id      license_ccurl  musicinfo_lang  musicinfo_speed musicinfo_acousticelectric      musicinfo_vocalinstrumental    musicinfo_gender        musicinfo_tags_vartags  musicinfo_tags_genres  musicinfo_tags_instruments      name    position        releasedate    shareurl shorturl]
[[2014:GC14UX:JSON Metadata]] presents statistics and plots of selected fields.
[[2014:GC14UX:JSON Metadata]] presents statistics and plots of selected fields.

Revision as of 05:25, 30 August 2014


Holistic, user-centered evaluation of the user experience in interacting with complete, user-facing music information retrieval (MIR) systems.


  1. To inspire the development of complete MIR systems.
  2. To promote the notion of user experience as a first-class research objective in the MIR community.


A set of music 10,000 music audio tracks is provided for the GC14UX. It will be a subset of tracks drawn from the Jamendo collection's CC-BY licensed works.

The Jamendo collection contains music in a variety of genres and moods, but is mostly unknown to most listeners. This will mitigate against the possible user experience bias induced by the differential presence (or absence) of popular or known music within the participating systems.

As of May 20, 2014, the Jamendo collection contains 14,742 tracks with the CC-BY license. The CC-BY license allows others to distribute, modify, optimize and use your work as a basis, even commercially, as long as you give credit for the original creation. This is one of the most permissive licenses possible.

The 10,000 tracks in GC14UX are sampled (w.r.t. maximizing music variety) from the Jamendo collection with CC-BY license and made available for participants (system developers) to download to build their systems. It represents a randomly chosen subset the content available at Jamendo that is published under the terms of the Creative Commons Attribution-Non-Commercial-ShareAlike (by-nc-sa), where user-supplied data has tagged a track with 1 or more genre categories. For more details about usage of this dataset, see the LICENSE.txt file contained in the downloaded files.

The dataset contains the MP3 tracks and the metadata the Jamendo site publishes on the respective items (represented in JSON format), retrieved using the site's API (6th Aug 2014). The dataset is available both zipped up and as a tar-ball(you only need one of these); however, at 60+ Gb it is a non-trival size of file to download over the web, and so we suggest you install a Download Manager extension to your browser if you do not already have one and make use of that. In a test using the DownThemAll! extension to Firefox, downloading the dataset between University of Illinois at Urbana-Champaign and Waikato University in New Zealand took a little under 2 hours.

gc14ux-jamendo-by-nc-sa-subset.zip (60.1 GB)
gc14ux-jamendo-by-nc-sa-subset.tar.gz (60.1 GB)

Metadata Extracted from JSON Files

The JSON files retrieved from Jamendo site contain various metadata:

[album_id album_image album_name artist_id artist_idstr artist_name audio audiodownload duration id license_ccurl musicinfo_lang musicinfo_speed musicinfo_acousticelectric musicinfo_vocalinstrumental musicinfo_gender musicinfo_tags_vartags musicinfo_tags_genres musicinfo_tags_instruments name position releasedate shareurl shorturl]

2014:GC14UX:JSON Metadata presents statistics and plots of selected fields.

Participating Systems

Unlike conventional MIREX tasks, participants are not asked to submit their systems. Instead, the systems will be hosted by their developers. All participating systems need to be constructed as websites accessible to users through normal web browsers. Participating teams will submit the URLs to their systems to the GC14UX team.

To ensure a consistent experience, evaluators will see participating systems in fixed size window: 1024x768. Please test your system for this screen size.

See the #Evaluation Webforms below for a better understanding of our E6K-inpsired evaluation system design.

Potential Participants

Please put your names and email contacts in the following table. It is encouraged that you give your team a cool name!

(Cool) Team Name Name(s) Email(s)
The MIR UX Master Dr. MIR mir@domain.com


As written in the name of the Grand Challenge, the evaluation will be user-centered. All systems will be used by a number of human evaluators and be rated by them on several most important criteria in evaluating user experience.


Note that the evaluation criteria or its descriptions may be slightly changed in the months leading up to the submission deadline, as we test it and work to improve it.

Given the GC14UX is all about how users perceive their experiences of the systems, we intend to capture the user perceptions in a minimally intrusive manner and not to burden the users/evaluators with too many questions or required data inputs. The following criteria are grounded on the literature of Human Computer Interaction (HCI) and User Experience (UX), with a careful consideration on striking a balance between being comprehensive and minimizing evaluators' cognitive load.

Evaluators will rate systems on the following criteria:

  • Overall satisfaction: Overall, how pleasurable do you find the experience of using this system?

Very unsatisfactory / Unsatisfactory / Slightly unsatisfactory / Neutral / Slightly satisfactory / Satisfactory / Very satisfactory

  • Learnability: How easy was it to figure out how to use the system?

Very difficult / Difficult / Slightly difficult / Neutral / Slightly easy / Easy / Very easy

  • Robustness: How good is the system’s ability to warn you when you’re about to make a mistake and allow you to recover?

Very Poor / Poor / Slightly Poor / Neutral / Slightly Good / Good / Excellent

  • Affordances: How well does the system allow you to perform what you want to do?

Very Poor / Poor / Slightly Poor / Neutral / Slightly Good / Good / Excellent

  • Presentation: How well does the system communicate what’s going on? (How well do you feel the system informs you of its status? Can you clearly understand the labels and words used in the system? How visible are all of your options and menus when you use this system?)

Very Poor / Poor / Slightly Poor / Neutral / Slightly Good / Good / Excellent

  • Open Text Feedback: An open-ended question is provided for evaluators to give feedback if they wish to do so.


Evaluators will be users aged 18 and above. For this round, evaluators will be drawn primarily from the MIR community through solicitations via the ISMIR-community mailing list. The #Evaluation Webforms developed by the GC14UX team will ensure all participating systems will get equal number of evaluators.

Task for evaluators

To motivate the evaluators, a defined yet open task is given to the evaluators:

You are creating a short video about a memorable occasion that happened to you recently, and you need to find some (copyright-free) songs to use as background music.

The task is to ensure that evaluators have a (more or less) consistent goal when they interact with the systems. The goal is flexible and authentic to the evaluators' lives ("a recent, memorable occasion"). As the task is not too specific, evaluators can potentially look for a wide range of music in terms of genre, mood and other aspects. This allows great flexibility and virtually unlimited possibility in system design.

Another important consideration in designing the task is the music collection available for this GC14UX: the Jamando collection. Jamando music is not well-known to most users/evaluators, whereas many more commonly seen music information tasks are more or less influenced by users' familiarity to the songs and song popularity. Through this task of "finding (copyright-free) background music for a self-made video", we strive to minimize the need of looking for familiar or popular music.

Evaluation results

Statistics of the scores given by all evaluators will be reported: mean, average deviation. Meaningful text comments from the evaluators will also be reported.

Evaluation Webforms

Graders can take as many assignments as they wish in the My Assignments page. They are allowed to go back to the evaluation page anytime by clicking the thumbnail of the submission.

GCUX wireframe my assignments.png
To facilitate the evaluators and minimize their burden, the GC14UX team will provide a set of evaluation forms which wrap around the participating systems. As shown in the following image, the evaluation webforms are for scoring the participating systems, with their client interfaces embedded within an iframe in the left side of the webform.

GCUX wireframe evaluation.png


Important Dates

  • July 1: announce the GC
  • Sep. 28st: deadline for system submission
  • Oct. 5th: start the evaluation
  • Oct. 27th: close the evaluation system
  • Oct. 29th: announce the results
  • Oct. 31st: MIREX and GC session in ISMIR2014

What to Submit

A URL to the participanting system.


The GC14UX team consists of:

J. Stephen Downie, University of Illinois (MIREX director)
Xiao Hu, University of Hong Kong (ISMIR2014 co-chair)
Jin Ha Lee, University of Washington (ISMIR2014 program co-chair)
Yi-Hsuan (Eric) Yang, Academic Sinica, Taiwan (ISMIR2014 program co-chair)
David Bainbridge, Waikato University, New Zealand
Kahyun Choi, University of Illinois
Peter Organisciak, University of Illinois

Inquiries, suggestions, questions, comments are all highly welcome! Please contact Prof. Downie [1] or anyone in the team.