This study integrates EEG technology with the VIKOR-GRA model to construct a quantitative method for assessing emotional responses to rural landscapes. Taking 94 scenes from Xiedian Ancient Village in Macheng City, Hubei Province, as the research objects, arousal (Arousal) and valence (Valence) were calculated based on the power ratio of α and β frequency bands. The entropy weight method was employed to determine weights and compute group utility value (S), individual regret value (R), and compromise solution (Q). The results indicate that 16 scenes had Q values > 0.75 (Grade IV), reflecting poor emotional experiences, with significantly lower arousal (−2.15 ± 0.38) and valence (−0.87 ± 1.02). Vegetation morphology and water visibility were identified as the primary limiting factors, while graphic symbols and historical culture exhibited strong positive feedback. Optimization strategies are proposed, providing a quantifiable technical pathway for the renewal of rural heritage landscapes.
Yan et al. (Sat,) studied this question.