18 citations · 66 across the 32 of their papers we have counts for
7 papers · 1 filter
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…