most citedUnderstanding Learner-LLM Chatbot Interactions and the Impact of Prompting Guidelines

9 citations · 14 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2025

Two Explorative Studies on Tangible Augmented Reality for Neurodevelopmental Disorders

Francesco Vona, Giulia Valcamonica, Franca Garzotto

Tangible Augmented Reality (TAR) is an interaction paradigm that integrates physical and digital worlds to create immersive, interactive experiences. This paper explores two TAR ap…

cs.HC2025★ 5 cited

Exploring Anthropomorphism in Conversational Agents for Environmental Sustainability

Mathyas Giudici, Samuele Scherini, Pascal Chaussumier +2

The paper investigates the integration of Large Language Models (LLMs) into Conversational Agents (CAs) to encourage a shift in consumption patterns from a demand-driven to a suppl…

cs.HC2025

Generating HomeAssistant Automations Using an LLM-based Chatbot

Mathyas Giudici, Alessandro Sironi, Ismaele Villa +2

To combat climate change, individuals are encouraged to adopt sustainable habits, in particular, with their household, optimizing their electrical consumption. Conversational agent…

cs.HC2025★ 9 cited

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…

cs.MA2025

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…