Resources Science ›› 2017, Vol. 39 ›› Issue (6): 1137-1147.doi: 10.18402/resci.2017.06.13

• Orginal Article • Previous Articles     Next Articles

Landscape visual quality assessment based on eye movement:college student eye-tracking experiments on tourism landscape pictures

Suling GUO(), Ningxi ZHAO(), Jianxin ZHANG, Ting XUE, Peixue LIU, Shuai XU, Dandan XU   

  1. School of Geographic and Oceanographic Sciences,Nanjing University,Nanjing 210023,China
  • Received:2017-02-10 Revised:2017-03-05 Online:2017-06-20 Published:2017-06-20


Landscape visual quality assessment is the basis of rational planning,development,utilization and protection of tourism resources. Various assessment methods have their own advantages,but many deficiencies. Most existing evaluation methods are subjectively qualitative approaches. Here,we introduce eye-tracking analysis to landscape visual quality assessment using the rural tourism destination Hongcun as a case study. An eyetracker was used to record eye movement data while subjects looked at Hongcun landscape pictures. We combined SBE and SD to obtain the subjective evaluation of landscape visual quality,which were analyzed by correlation and regression analysis with eye movement index data. We found that subjects had different eye movement characteristics in four landscapes types,among which,there were significant differences in fixation frequency,average fixation duration and saccade frequency. The fixation points mainly focused on the main buildings,some prominent elements and the borders of landscape elements. The subjective evaluation of landscape visual quality was significantly correlated with fixation frequency,percentage of fixation duration, average fixation duration and percentage of saccade duration. The eye movement evaluation model of landscape visual quality was built. Visual quality values of four landscape types in Hongcun, settlement, ecology, agriculture and culture, calculated by the model, were 5.99, 5.98, 5.96 and 5.90. The model shows that a higher fixation frequency and a longer watching time(a lower percentage of fixation duration) produce a higher landscape visual quality assessment of tourism landscapes. Our method is a new tool to conduct landscape visual quality assessments.

Key words: landscape visual quality, eye movement experiments, tourism landscape, college students, Hongcun