18 citations · 66 across the 32 of their papers we have counts for
34 papers
Designing Human-mediated AI Guidance: Ready Together for Personalized Family Emergency Preparedness
Nini Kurashvili, Yana Ivanchenko, Greta Schiavo +2
Artificial intelligence (AI) systems are increasingly used across domains to provide personalized information, recommendations, and decision support. However, in some contexts, AI-…
The Hidden Cost of Contextual Sycophancy: an AI Literacy Intervention in Human-AI Collaboration
Cansu Koyuturk, Sabrina Guidotti, Dimitri Ognibene
Large Language Models (LLMs) are increasingly used in educational settings as interactive tools for collaboration. However, their tendency toward sycophancy, aligning with user bel…
PerspAct: Enhancing LLM Situated Collaboration Skills through Perspective Taking and Active Vision
Sabrina Patania, Luca Annese, Anita Pellegrini +8
Recent advances in Large Language Models (LLMs) and multimodal foundation models have significantly broadened their application in robotics and collaborative systems. However, effe…
Growing Perspectives: Modelling Embodied Perspective Taking and Inner Narrative Development Using Large Language Models
Sabrina Patania, Luca Annese, Anna Lambiase +6
Language and embodied perspective taking are essential for human collaboration, yet few computational models address both simultaneously. This work investigates the PerspAct system…
Who Sees What? Structured Thought-Action Sequences for Epistemic Reasoning in LLMs
Luca Annese, Sabrina Patania, Silvia Serino +4
Recent advances in large language models (LLMs) and reasoning frameworks have opened new possibilities for improving the perspective -taking capabilities of autonomous agents. Howe…
AI Pedagogy: Dialogic Social Learning for Artificial Agents
Sabrina Patania, Luca Annese, Cansu Koyuturk +2
Large Language Models (LLMs) have demonstrated remarkable capabilities in processing extensive offline datasets. However, they often face challenges in acquiring and integrating co…
Combining Deep Architectures for Information Gain estimation and Reinforcement Learning for multiagent field exploration
Emanuele Masiero, Vito Trianni, Giuseppe Vizzari +1
Precision agriculture requires efficient autonomous systems for crop monitoring, where agents must explore large-scale environments while minimizing resource consumption. This work…
Why am I seeing this? Towards recognizing social media recommender systems with missing recommendations
Sabrina Guidotti, Sabrina Patania, Giuseppe Vizzari +4
Social media plays a crucial role in shaping society, often amplifying polarization and spreading misinformation. These effects stem from complex dynamics involving user interactio…
Understanding Learner-LLM Chatbot Interactions and the Impact of Prompting Guidelines
Cansu Koyuturk, Emily Theophilou, Sabrina Patania +13
Large Language Models (LLMs) have transformed human-computer interaction by enabling natural language-based communication with AI-powered chatbots. These models are designed to be…
Balancing Benefits and Risks: RL Approaches for Addiction-Aware Social Media Recommenders
Luca Bolis, Stefano Livella, Sabrina Patania +3
Social media platforms provide valuable opportunities for users to gather information, interact with friends, and enjoy entertainment. However, their addictive potential poses sign…
SCOOP: A Framework for Proactive Collaboration and Social Continual Learning through Natural Language Interaction andCausal Reasoning
Dimitri Ognibene, Sabrina Patania, Luca Annese +5
Multimodal information-gathering settings, where users collaborate with AI in dynamic environments, are increasingly common. These involve complex processes with textual and multim…
Use Me Wisely: AI-Driven Assessment for LLM Prompting Skills Development
Dimitri Ognibene, Gregor Donabauer, Emily Theophilou +10
The use of large language model (LLM)-powered chatbots, such as ChatGPT, has become popular across various domains, supporting a range of tasks and processes. However, due to the i…
Habit Coach: Customising RAG-based chatbots to support behavior change
Arian Fooroogh Mand Arabi, Cansu Koyuturk, Michael O'Mahony +2
This paper presents the iterative development of Habit Coach, a GPT-based chatbot designed to support users in habit change through personalized interaction. Employing a user-cente…
Unimib Assistant: designing a student-friendly RAG-based chatbot for all their needs
Chiara Antico, Stefano Giordano, Cansu Koyuturk +1
Natural language processing skills of Large Language Models (LLMs) are unprecedented, having wide diffusion and application in different tasks. This pilot study focuses on speciali…
One to rule them all: natural language to bind communication, perception and action
Simone Colombani, Dimitri Ognibene, Giuseppe Boccignone
In recent years, research in the area of human-robot interaction has focused on developing robots capable of understanding complex human instructions and performing tasks in dynami…
Time is on my sight: scene graph filtering for dynamic environment perception in an LLM-driven robot
Simone Colombani, Luca Brini, Dimitri Ognibene +1
Robots are increasingly being used in dynamic environments like workplaces, hospitals, and homes. As a result, interactions with robots must be simple and intuitive, with robots pe…
Modeling Social Media Recommendation Impacts Using Academic Networks: A Graph Neural Network Approach
Sabrina Guidotti, Gregor Donabauer, Simone Somazzi +3
The widespread use of social media has highlighted potential negative impacts on society and individuals, largely driven by recommendation algorithms that shape user behavior and s…
Generalizability analysis of deep learning predictions of human brain responses to augmented and semantically novel visual stimuli
Valentyn Piskovskyi, Riccardo Chimisso, Sabrina Patania +3
The purpose of this work is to investigate the soundness and utility of a neural network-based approach as a framework for exploring the impact of image enhancement techniques on v…
Learning mental states estimation through self-observation: a developmental synergy between intentions and beliefs representations in a deep-learning model of Theory of Mind
Francesca Bianco, Silvia Rigato, Maria Laura Filippetti +1
Theory of Mind (ToM), the ability to attribute beliefs, intentions, or mental states to others, is a crucial feature of human social interaction. In complex environments, where the…
Exploration and Comparison of Deep Learning Architectures to Predict Brain Response to Realistic Pictures
Riccardo Chimisso, Sathya Buršić, Paolo Marocco +2
We present an exploration of machine learning architectures for predicting brain responses to realistic images on occasion of the Algonauts Challenge 2023. Our research involved ex…
Multimodal Integration of Olfactory and Visual Processing through DCM analysis: Contextual Modulation of Facial Perception
Gianluca Rho, Alejandro Luis Callara, Francesco Bossi +5
This study examines the modulatory effect of contextual hedonic olfactory stimuli on the visual processing of neutral faces using event-related potentials (ERPs) and effective conn…
Learning to Prompt in the Classroom to Understand AI Limits: A pilot study
Emily Theophilou, Cansu Koyuturk, Mona Yavari +10
Artificial intelligence's (AI) progress holds great promise in tackling pressing societal concerns such as health and climate. Large Language Models (LLM) and the derived chatbots,…
Developing Effective Educational Chatbots with ChatGPT prompts: Insights from Preliminary Tests in a Case Study on Social Media Literacy (with appendix)
Cansu Koyuturk, Mona Yavari, Emily Theophilou +9
Educational chatbots come with a promise of interactive and personalized learning experiences, yet their development has been limited by the restricted free interaction capabilitie…
Influence of the Geometry of the world model on Curiosity Based Exploration
Grégoire Sergeant-Perthuis, Nils Ruet, David Rudrauf +2
In human spatial awareness, 3-D projective geometry structures information integration and action planning through perspective taking within an internal representation space. The w…