Opendata, web and dolomites


Web-based system for multi-arrangement task for rapid acquisition of subjectivejudgements.

Total Cost €


EC-Contrib. €






 WebMAT project word cloud

Explore the words cloud of the WebMAT project. It provides you a very rough idea of what is the project "WebMAT" about.

javascript    screen    compatible    starting    itself    reflect    context    cognition    pair    attempts    technique    similarities    property    communicate    python    histories    erc    biases    translate    policy    explore    expenses    easily    quantities    entire    time    judgment    explicit    data    arranges    savings    arrangement    commercialisation    desktop    reducing    tablets    broad    lends    computer    drop    implicit    judgements    item    lower    industry    acquire    amounts    discrete    efficient    object    perceptual    influences    items    single    science    drag    platform    governments    modern    base    nature    multiple    richness    poc    public    objects    plan    separately    technologies    subjective    everyone    continuous    attributions    programming    travel    world    ratings    marketing    perception    ranging    html    placement    touchscreen    adjust    operations    decision    individuals    web    laptops    acquisition    capturing    volunteer    participant    rated    assistant    substantial    ma    proof    relationships    questionnaires    tool    exert    grant    powerful    psychology    mouse    pcs    performed   

Project "WebMAT" data sheet

The following table provides information about the project.


There are not information about this coordinator. Please contact Fabio for more information, thanks.

 Coordinator Country United Kingdom [UK]
 Total cost 149˙640 €
 EC max contribution 149˙640 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2015-PoC
 Funding Scheme ERC-POC
 Starting year 2016
 Duration (year-month-day) from 2016-04-01   to  2017-09-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 Project objective

Everyone’s perception of the world is unique. Subjective attributions exert powerful influences on our cognition and behaviour, ranging from implicit biases to explicit decision-making. Psychology, public policy, and marketing have long histories of attempts to measure subjective judgements using questionnaires, in which single items are rated one scale at a time. However, ratings require individuals to translate the richness of their perceptual experience into discrete quantities for each item separately. This does not reflect the continuous and context-rich nature of experience. In our ERC Starting Grant, we have been developing a novel technique for capturing judgements of relationships among a large number of objects. In this technique, the participant arranges the objects on a computer screen by mouse drag-and-drop operations. This multi-arrangement (MA) method enables participants to communicate multiple continuous object-pair similarities by a single drag-and-drop placement and to adjust the judgements in the context of the entire set. The MA method also lends itself to efficient acquisition of multiple continuous property judgements performed in the context of the set. Our aim with the present Proof of Concept (PoC) project is to develop a web-based platform for the MA method that is compatible with modern technologies (e.g. tablets, touchscreen laptops and desktop PCs). We plan to use JavaScript, Python, and HTML in order to implement an easy to use web-based tool that makes the MA method available to a broad base of users. The web-based platform would provide important savings, reducing programming costs, research assistant work, and volunteer travel expenses. This would enable researchers in science, governments, and industry to quickly and easily acquire substantial amounts of subjective judgment data at lower costs. The PoC grant would enable us to build this web-based platform and explore its potential for broad application and commercialisation.


year authors and title journal last update
List of publications.
2019 Radoslaw M. Cichy, Nikolaus Kriegeskorte, Kamila M. Jozwik, Jasper J.F. van den Bosch, Ian Charest
The spatiotemporal neural dynamics underlying perceived similarity for real-world objects
published pages: 12-24, ISSN: 1053-8119, DOI: 10.1016/j.neuroimage.2019.03.031
NeuroImage 194 2019-08-05

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The information about "WEBMAT" are provided by the European Opendata Portal: CORDIS opendata.

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