Bear-ing the Burden: Impact of Affective Eco-Feedback on Sustainable LLM Use
The increasing use of large language models (LLMs) has raised growing concerns about the environmental impact of user-driven inference, while end-users often remain unaware of their carbon footprint. This paper investigates whether eco-feedback integrated into LLM interfaces can influence prompting behaviour. We conduc...