Eternagram: probing player attitudes towards climate change using a ChatGPT-driven text-based adventure
Zhou, S., Hendra, L. B., Zhang, Q., Holopainen, J., & Lc, R. (2024, May). Eternagram: probing player attitudes towards climate change using a ChatGPT-driven text-based adventure. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (pp. 1-23).
Conventional methods of assessing attitudes towards climate change are limited in capturing authentic opinions, primarily stemming from a lack of context-specific assessment strategies and an overreliance on simplistic surveys. Game-based Assessments (GBA) have demonstrated the ability to overcome these issues by immersing participants in engaging gameplay within carefully crafted, scenario-based environments. Concurrently, advancements in AI and Natural Language Processing (NLP) show promise in enhancing the gamified testing environment, achieving this by generating context-aware, human-like dialogues that contribute to a more natural and effective assessment. Our study introduces a new technique for probing climate change attitudes by actualizing a GPT-driven chatbot system in harmony with a game design depicting a futuristic climate scenario. The correlation analysis reveals an assimilation effect, where players’ post-game climate awareness tends to align with their in-game perceptions. Key predictors of pro-climate attitudes are identified as traits like ’Openness’ and ’Agreeableness’, and a preference for democratic values.