Project description
Different perspectives in modelling human intention
Human social sensing remains a challenge in artificial intelligence (AI). Social signal processing interprets human behaviours using sensors. However, AI systems typically seek one best-fitting truth with clear labels, disregarding diverse interpretations of human intentions. With this in mind, the ERC-funded NEON project will develop a multi-task learning framework and a graphical neural network architecture. This will enable AI to combine perspectives and better interpret human intentions, fostering improved human understanding. The findings of this research will help humans to better understand one another.
Objective
An under-explored problem in Social Signal Processing (SSP) is human social intent detection. SSP develops automated systems to interpret human social behaviour from sensors such as cameras, microphones, and wearables. Prior work estimating intent uses scenarios that are constrained enough so that the intent is determined by a congruent outcome. In reality, this is not true, otherwise emergent leaders are never female because they do not speak up and black minorities are criminals because they are often seen interacting with police.
NEON addresses intention detection in more open-ended contexts involving large unstructured social gatherings such as networking or mingling events. During these events, there are no prearranged conversations, multiple conversations can occur at the same time, and all conversation come about via coordination with multiple independent actors with their own possibly conflicting goals. How do we train machines to perceive plausible intentions? Asking the individual to continuously report on their immediate intentions would contaminate their spontaneous social behaviour. NEON hypothesises that plausible social intentions are perceivable by external observers though the explanations of why (based on the behaviours of the individual and the surround social context) may vary depending on the perceivers own life experiences.
To this end, NEON will develop a novel framework to harvest and learn from social intentions and their relation to future outcomes using a novel multi-task learning set up that clusters both on the traits of the perceivers as well as the observed individuals, a unified theory that situates conversations in free standing groups in both space and time and a novel Graphical Neural Network architecture to model it through multi-sensor cross modal learned neural representations. Aside from being a significant advance for SSP, NEON also benefits a range of other fields from human-robot interaction to organisational psychology
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors optical sensors
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.1 - European Research Council (ERC)
MAIN PROGRAMME
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Topic(s)
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Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
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Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-ERC - HORIZON ERC Grants
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2022-COG
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
2628 CN DELFT
Netherlands
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.