Fei Deng
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Fei Deng has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Jianguo Liu
NHC Key Laboratory for Engineering Control of Dust Hazard, University of Science and Technology Beijing, Beijing 100083, China
1 shared publication - Jinshun Wu
College of Architecture and Civil Engineering, North China Institute of Science & Technology, Langfang 065201, China
1 shared publication - Longzhe Jin
State Key Laboratory of Metal Mine Mining Safety and Disaster Prevention and Control, University of Science and Technology Beijing, Beijing 100083, China
1 shared publication - Shengnan Ou
School of Civil and Resource Engineering, University of Science and Technology Beijing, Beijing 100083, China
1 shared publication - Shu Wang
School of Civil Engineering and Resources, University of Science and Technology Beijing, Beijing 100083, China
1 shared publication - Song Pan
Beijing Key Laboratory of Green Built Environment and Energy Efficient Technology, Beijing University of Technology, Beijing 100124, China
1 shared publication
Latest Publications
- Open Access
- 2 August 2023
- Published by MDPI AG in Sustainability
- Vol. 15 (15) , 11880
Individual Behavior and Attention Distribution during Wayfinding for Emergency Shelter: An Eye-Tracking Study
A fast evacuation from buildings to emergency shelters is necessary and important after the occurrence of a disaster. We investigated the variations in physical behaviors and cognition processes while finding emergency shelter. The on-site emergency-shelter-finding experiments were conducted in Beijing, China. Participants performed the task by using a wearable eye-tracking device. We aimed to assess three eye metrics: fixation counts, mean fixation duration, and visual attention index, to perform cognitive searching analysis for the environmental elements. The results showed that most people spend more fixation time on digital maps (297.77 ± 195.90 ms) and road conditions (239.43 ± 114.91 ms) than signs (150.90 ± 81.70 ms), buildings (153.44 ± 41.15 ms), and plants (170.11 ± 47.60 ms). Furthermore, most participants exhibit hesitation and retracing behaviors throughout the wayfinding process. The participants with relatively rich disaster experience and a proactive personality exhibit better performance in the shelter-finding task, such as a shorter retracing distance (p = 0.007) and nearer destination (p = 0.037). Eye metrics, together with the questionnaire, can mirror the complexity and heterogeneity of evacuation behavior during emergency shelter-finding. In addition, this also provides insights for the optimization of guidance sign systems and improvements in emergency management.
- 2 August 2023
- Published by MDPI AG in Sustainability
- Vol. 15 (15) , 11880
Open AccessIndividual Behavior and Attention Distribution during Wayfinding for Emergency Shelter: An Eye-Tracking Study
A fast evacuation from buildings to emergency shelters is necessary and important after the occurrence of a disaster. We investigated the variations in physical behaviors and cognition processes while finding emergency shelter. The on-site emergency-shelter-finding experiments were conducted in Beijing, China. Participants performed the task by using a wearable eye-tracking device. We aimed to assess three eye metrics: fixation counts, mean fixation duration, and visual attention index, to perform cognitive searching analysis for the environmental elements. The results showed that most people spend more fixation time on digital maps (297.77 ± 195.90 ms) and road conditions (239.43 ± 114.91 ms) than signs (150.90 ± 81.70 ms), buildings (153.44 ± 41.15 ms), and plants (170.11 ± 47.60 ms). Furthermore, most participants exhibit hesitation and retracing behaviors throughout the wayfinding process. The participants with relatively rich disaster experience and a proactive personality exhibit better performance in the shelter-finding task, such as a shorter retracing distance (p = 0.007) and nearer destination (p = 0.037). Eye metrics, together with the questionnaire, can mirror the complexity and heterogeneity of evacuation behavior during emergency shelter-finding. In addition, this also provides insights for the optimization of guidance sign systems and improvements in emergency management.