Opendata, web and dolomites


Automated Improvement of Continuous User interfaces

Total Cost €


EC-Contrib. €






Project "AI-CU" data sheet

The following table provides information about the project.


Organization address
address: PLEINLAAN 2
postcode: 1050

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Belgium [BE]
 Total cost 150˙000 €
 EC max contribution 150˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-PoC
 Funding Scheme ERC-POC
 Starting year 2018
 Duration (year-month-day) from 2018-06-01   to  2019-11-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    VRIJE UNIVERSITEIT BRUSSEL BE (BRUSSEL) coordinator 150˙000.00


 Project objective

We propose to develop two tools for creating, in a systematic way, better user interfaces based on continuous, non-symbolic actions, such as swipes on a touch screen, 3-D motions with a hand-held device, or breath patterns in a user interface for otherwise paralyzed patients. The tools are based on two experimental/computational techniques developed in the ABACUS project: iterated learning and social coordination. In iterated learning, sets of signals produced by one user are learned and reproduced by another user. The reproductions are then in turn learned by the next user. In the ABACUS project, it has been shown that this results in more learnable sets of signals. We propose to show how this can be applied to creating learnable and usable signals in a systematic way when design a user interface for a device that allows continuous actions. In social coordination, it has been shown that signals become simplified and more abstract when people communicate over an extended period of time. The ABACUS project has developed techniques to detect and quantify this. We propose to show how these can be used for a user interface that adapts to its user. This will allow novice users to use more extended and therefore more learnable versions of actions, while the system adapts when users become more adept at using the interface and reduce their actions. Because the system is adaptive, the user is not constrained in how they do this.

Concretely, we propose to implement these two tools, investigate how they can be used optimally and advertise them to interested companies, starting with ones with which we have contact, but extending our network at the start of the project through a business case development. In order to disseminate the results we propose to involve a user committee and organize one or more workshops.

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The information about "AI-CU" are provided by the European Opendata Portal: CORDIS opendata.

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lastchecktime (2022-11-30 0:51:16) correctly updated