Mapping Ecological Empathy: A Semantic Network Analysis of Player Perceptions in 3D Environmental Education Games
Yuanyuan Xu, Zhehao Sun, Chi Zhen, Yin-Shan Lin, Miles Thorogood, Megan Smith, Patricia Lasserre, Aleksandra Dulic

TL;DR
This study employs Semantic Network Analysis on player reviews to reveal differing ecological perceptions fostered by two environmental education games, highlighting pedagogical divides and methodological innovations.
Contribution
It introduces a novel, non-intrusive SNA-based approach to assess psychological shifts in players, contrasting two ecological philosophies through qualitative review analysis.
Findings
Eco promotes socio-political cognition in players.
WolfQuest fosters effective empathy and emotional understanding.
Semantic topology effectively visualizes player conceptual divergence.
Abstract
As the global climate crisis intensifies, 3D video games have emerged as powerful, interactive simulations for Environmental Education (EE). However, empirical assessment of their pedagogical efficacy remains epistemologically challenged. Traditional evaluation metrics, such as pre-post surveys, often suffer from response bias and fail to capture the nuanced, emergent psychological shifts players experience during gameplay. This paper proposes a novel, non-intrusive approach: utilizing Semantic Network Analysis (SNA) to map the 'unsupervised' cognitive structures of players. We scraped and qualitatively filtered 1,825 rich-text user reviews from Steam for two distinct titles representing opposing ecological philosophies: Eco (anthropocentric systemic management) and WolfQuest (biocentric embodied survival). By constructing co-occurrence networks and calculating topological metrics, we…
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