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.

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

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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