Project description
Human-LLM interactions and the social contexts influencing them
Large language models (LLMs) and other AI solutions are increasingly present across sectors, industries, and applications, leading to deeper and more frequent interactions with human users. Unfortunately, due to the novelty of these LLM solutions, human-LLM interactions and their effects on social and mental health are largely unstudied. The ERC-funded LLMpathy project aims to challenge current unsystematic approaches to benchmarking social intelligence in LLMs. It will develop a revolutionary framework to understand the influences and criteria behind this discourse. The project will explore how human-LLM interactions are shaped by personal and social context and use data collection and analysis, longitudinal psychometric studies, and more to support the understanding and development of increasingly socially adept LLMs.
Objective
This research project aims to advance the field of social intelligence in Large Language Models (LLMs) by investigating the interplay between human modeling and social behavior. I challenge the current unsystematic approach to social intelligence benchmarking in LLMs and propose a novel framework incorporating personalized mental models and contextual understanding to determine the components with the biggest influence on the discourse. Through a combination of longitudinal psychometric studies, gamified data collection and evaluation, advanced representation learning, and explainable AI techniques, I will investigate the role of fine-grained personal and social context in shaping human and LLM interactions. Through extensive simulations via social LLM agents, combined with data analysis techniques, this research will help to shed light on the relation between psychological traits and processes, their demonstrations in social discourse, and the representation and controllability of these in LLMs, and ultimately contribute to the development of more socially adept and effective LLMs for potential applications in more vulnerable domains such as assisted living or health counseling.
Fields of science (EuroSciVoc)
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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)
- Large Language Models (LLMs)
- Computational Social Sciences
- Social Intelligence in AI
- Perspective Taking
- Cognitive Empathy
- Representation Learning
- Human Factors in AI
- LLMs and Personality Psychology
- Situated Evaluation of LLMs
- LLM Reasoning
- Social Intelligence Benchmarking
- LLM Personalization
- Simulative Reasoning
- Mentalizing
- Perspective-Taking in AI
- Representation Learning and Explainability
- Socially Intelligent LLMs
- Longitudinal Psychological Studies in AI
- Human Language Modeling
- Theory of Mind
- Gamification
- LLM-based Social Agents
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)
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.
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
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.
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-2025-STG
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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.
53113 Bonn
Germany
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.