Can AI Prompt Humans? Multimodal Agents Prompt Players’ Game Actions and Show Consequences to Raise Sustainability Awareness

要旨

Unsustainable behaviors are challenging to prevent due to their long-term, often unclear consequences. Serious games offer a promising solution by creating artificial environments where players can immediately experience the outcomes of their actions. To explore this potential, we developed EcoEcho, a GenAI-powered game leveraging multimodal agents to raise sustainability awareness. These agents engage players in natural conversations, prompting them to take in-game actions that lead to visible environmental impacts. We evaluated EcoEcho using a mixed-methods approach with 23 participants. Results show a significant increase in intended sustainable behaviors post-game, although attitudes towards sustainability had only marginal effects, suggesting that in-game actions likely can motivate intended real world behaviors despite similar opinions on sustainability. This finding highlights multimodal agents and action-consequence mechanics to effectively raising sustainability awareness and the potential of motivating real-world behavioral change.

著者
Qinshi Zhang
University of California, San Diego, San Diego, California, United States
Ruoyu Wen
University of Canterbury, Christchurch, New Zealand
Latisha Besariani Hendra
City University of Hong Kong, Hong Kong , Hong Kong
Zijian Ding
University of Maryland, West Hyattsville, Maryland, United States
RAY LC
City University of Hong Kong, Hong Kong, China
DOI

10.1145/3706598.3713661

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713661

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Technologies for Sustainable Development

G414+G415
7 件の発表
2025-04-29 01:20:00
2025-04-29 02:50:00
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