ANTICIPATE SIGNED
Anticipatory Human-Computer Interaction
Total Cost €
0EC-Contrib. €
0Partnership
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0ANTICIPATE project word cloud
Explore the words cloud of the ANTICIPATE project. It provides you a very rough idea of what is the project "ANTICIPATE" about.
Project "ANTICIPATE" data sheet
The following table provides information about the project.
| Coordinator |
UNIVERSITAET STUTTGART
Organization address contact info |
| Coordinator Country | Germany [DE] |
| Total cost | 1˙499˙625 € |
| EC max contribution | 1˙499˙625 € (100%) |
| Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
| Code Call | ERC-2018-STG |
| Funding Scheme | ERC-STG |
| Starting year | 2019 |
| Duration (year-month-day) | from 2019-02-01 to 2024-01-31 |
Partnership
Take a look of project's partnership.
| # | ||||
|---|---|---|---|---|
| 1 | UNIVERSITAET STUTTGART | DE (STUTTGART) | coordinator | 1˙499˙625.00 |
Map
Project objective
Even after three decades of research on human-computer interaction (HCI), current general-purpose user interfaces (UI) still lack the ability to attribute mental states to their users, i.e. they fail to understand users' intentions and needs and to anticipate their actions. This drastically restricts their interactive capabilities.
ANTICIPATE aims to establish the scientific foundations for a new generation of user interfaces that pro-actively adapt to users' future input actions by monitoring their attention and predicting their interaction intentions - thereby significantly improving the naturalness, efficiency, and user experience of the interactions. Realising this vision of anticipatory human-computer interaction requires groundbreaking advances in everyday sensing of user attention from eye and brain activity. We will further pioneer methods to predict entangled user intentions and forecast interactive behaviour with fine temporal granularity during interactions in everyday stationary and mobile settings. Finally, we will develop fundamental interaction paradigms that enable anticipatory UIs to pro-actively adapt to users' attention and intentions in a mindful way. The new capabilities will be demonstrated in four challenging cases: 1) mobile information retrieval, 2) intelligent notification management, 3) Autism diagnosis and monitoring, and 4) computer-based training.
Anticipatory human-computer interaction offers a strong complement to existing UI paradigms that only react to user input post-hoc. If successful, ANTICIPATE will deliver the first important building blocks for implementing Theory of Mind in general-purpose UIs. As such, the project has the potential to drastically improve the billions of interactions we perform with computers every day, to trigger a wide range of follow-up research in HCI as well as adjacent areas within and outside computer science, and to act as a key technical enabler for new applications, e.g. in healthcare and education.
Publications
| year | authors and title | journal | last update |
|---|---|---|---|
| 2020 |
Mihai Bâce, Sander Staal, Andreas Bulling Quantification of Users’ Visual Attention During Everyday Mobile Device Interactions published pages: , ISSN: , DOI: 10.1145/3313831.3376449 |
Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems - CHI \'20 | 2020-01-30 |
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