Related Experiment Video
Updated: Jan 21, 2026

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
Published on: December 15, 2023
Attention Restoration Space on a University Campus: Exploring Restorative Campus Design Based on Environmental
1Key Laboratory of Cold Region Urban and Rural Human Settlement Environment Science and Technology, School of Architecture, Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin 150001, China.
Abstract:
Students studying for a long time frequently suffer from attentional fatigue; however, campuses lack specific spaces in which to restore attention. This study aimed to explore the significant perceptual factors related to student selection of landscape types that they perceive as most relaxing on a university campus. To understand the design factors of an attention restoration space, this study examined the preference of students regarding restorative environments on university campuses at six universities in northeastern China using a questionnaire survey (n = 360). Place-mapping revealed the spatial characteristics of the preferences of students for relaxing in the available space. The primary perceptual factors were obtained using correlation analysis and keyword frequency. A relationship model of landscape types and perceptual factors was established using categorical regression (CATREG). Results showed that waterfront spaces have the optimal perceived attention restoration effect, followed by vegetation spaces, courtyard spaces and square spaces. Visibility, accessibility, comfort, recognition and sense of belonging are significant perceptual factors that should be first considered. Moreover, the optimal selection of design factors depends on the interaction of landscape types and perceptual factors. The design implications may assist designers to gain a new perspective on student requirements for a healthy environment.
Related Concept Videos
Restorative Care
Factorial Design
Student t Distribution
The Student t distribution was developed by William S. Goset (1876–1937) of the...
Microsoft Excel: Student's t-Test
To conduct a t-test in Excel, use the T.TEST function or the "Data...
Comparing Experimental Results: Student's t-Test
State Space Representation
Consider an RLC circuit, a...

