ERC FUNDED PROJECTS

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.

1 499 625 €

Start date: 2019-02-01, End date: 2024-01-31

Embedded Control software plays a critical role in many safety-critical applications. For instance, modern vehicles use interacting software and hardware components to control steering and braking. Control software forms the main core of autonomous transportation, power networks, and aerospace. These applications are examples of cyber-physical systems (CPS), where distributed software systems interact tightly with spatially distributed physical systems with complex dynamics. CPS are becoming ubiquitous due to rapid advances in computation, communication, and memory. However, the development of core control software running in these systems is still ad hoc and error-prone and much of the engineering costs today go into ensuring that control software works correctly. In order to reduce the design costs and guaranteeing its correctness, I aim to develop an innovative design process, in which the embedded control software is synthesized from high-level correctness requirements in a push-button and formal manner. Requirements for modern CPS applications go beyond conventional properties in control theory (e.g. stability) and in computer science (e.g. protocol design). Here, I propose a compositional methodology for automated synthesis of control software by combining compositional techniques from computer science (e.g. assume-guarantee rules) with those from control theory (e.g. small-gain theorems). I will leverage decomposition and abstraction as two key tools to tackle the design complexity, by either breaking the design object into semi-independent parts or by aggregating components and eliminating unnecessary details. My project is high-risk because it requires a fundamental re-thinking of design techniques till now studied in separate disciplines. It is high-gain because a successful method for automated synthesis of control software will make it finally possible to develop complex yet reliable CPS applications while considerably reducing the engineering cost.

1 470 800 €

Start date: 2019-02-01, End date: 2024-01-31

The aim of CATALIGHT is to use sunlight as a source of energy in order to trigger chemical reactions by harvesting photons with plasmonic nanoparticles and channelling the energy into catalytic materials. Plasmonic-catalytic devices would allow efficient harvest, transport, and injection of solar energy into molecules. To achieve this, imaging the energy flow at the nanoscale will be crucial for establishing the true potential of plasmonics, both in the context of yielding fundamental knowledge about the light-into-chemical energy conversion processes, and for moving from active towards efficient reactive devices within nanoscale environments. CATALIGHT has roots in three underlying components, making this project an interwoven effort to break new grounds in a crucial field for the further development of nanoscale energy manipulation: A) Super-resolution imaging of the energy-flow at the nanoscale – with a view to unravel the most efficient mechanisms to guide solar energy into catalytic materials using plasmonic structures as photon harvesters. B) Scaling-up this process through the fabrication of hierarchical photocatalytic colloids – using image-learning for the design of colloidal sources for energy manipulation. C) Light-into-chemical energy conversion – boosting efficiencies in environmental and industrial catalytic processes using tailored photocatalysts. The outcomes of this project will not only yield a substantial amount of fundamental knowledge in these crucial areas for the further development of the field, but also provide directly exploitable results for the applied sciences, particularly photocatalysis and fuel cells.

1 500 000 €

Start date: 2019-01-01, End date: 2023-12-31

The main objective of this project is to design optical switches with a response time < 5 ps, a switching energy < 1 fJ/bit and compatibility with silicon technology to excel in high-speed data processing at low heat dissipation. This will be pursued by combining the chemistry of inorganic, nanocrystalline colloids and organic semiconductor molecules to fabricate thin films of organic-inorganic hybrid nanostructures. Optical switches play a pivotal role in modern data processing based on silicon photonics, where they control the interface between photonic optical fibers used for data transmission and electronic processing units for computing. Data transfer across this interface is slow compared to that in optical interconnects and high-speed silicon transistors, such that faster optical switching accelerates the overall speed of data processing of the system as a whole. By modifying the surface of the inorganic nanocrystals with conductive molecular linkers and self-assembly into macroscopic solid state materials, new electronic and photonic properties arise due to charge transfer at the organic/inorganic interface. The multiple optical resonances in these hybrid materials result in strong optoelectronic interactions with external light beams, which are exploited for converting photonic into electronic signals at unprecedented speed. A key concept here is an activated absorption mechanism, in which the nanocrystals act as sensitizers with short-lived excited states, which are activated by a first optical pump beam. Efficient charge transfer at the organic/inorganic interface temporarily creates additional resonances in the molecular linkers, which may be probed by a second optical beam for as long as the sensitizer is in its excited state. Utilizing nanocrystals with excited state lifetimes < 5ps will reward ultrafast response times to pave the way for novel optical switches and high-speed data processing rates for silicon photonics.

1 497 375 €

Start date: 2019-02-01, End date: 2024-01-31