Honorable Mention Award bei der CHI‘26
1 April 2026
Unser Beitrag zur CHI, der ACM Conference on Human Factors in Computing Systems, wurde mit einem Honorable Mention Award ausgezeichnet. Dieser Award wird an die besten 5% aller eingereichten Arbeiten vergeben und würdigt herausragende Beiträge auf dem Gebiet der Human-Computer-Interaction.
Die CHI gilt als wichtigstes internationales Publikationsforum im Bereich Human-Computer Interaction (VHB Rating 2024: „A“) und findet 2026 in Barcelona statt.
Das Paper ist als Preprint auf arXiv hier verfügbar.
Abstract
To address the high energy consumption of artificial intelligence, energy consumption disclosure (ECD) has been proposed to steer users toward more sustainable practices, such as choosing efficient small language models (SLMs) over large language models (LLMs). This presents a performance-sustainability trade-off for users. In an experiment with 365 participants, we explore the impact of ECD and the perceptual and behavioral consequences of choosing an SLM over an LLM. Our findings reveal that ECD is a highly effective measure to nudge individuals toward a pro-environmental choice, increasing the odds of choosing an energy efficient SLM over an LLM by more than 12. Interestingly, this choice did not significantly impact subsequent behavior, as individuals who selected an SLM and those who selected an LLM demonstrated similar prompt behavior. Nevertheless, the choice created a perceptual bias. A placebo effect emerged, with individuals who selected the "eco-friendly" SLM reporting significantly lower satisfaction and perceived quality. These results highlight the double-edged nature of ECD, which holds critical implications for the design of sustainable human-computer interactions.
