Towards automated video-based human behavior analysis: leveraging AI capabilities for spatial behavior detection

To investigate human behavior in spatial environments, researchers commonly implement video-based behavioral analysis, which is time-consuming and tedious. With improvements in algorithmic performance and expansions in behavior datasets, vision-based AI demonstrates great potential to support human behavior analysis and understanding in design research automatically. To bridge this gap, we proposed a framework for utilizing vision-based AI models for spatial behavior analysis tasks in design research and utilize it in applications. This work offers new insights for design researchers, pointing toward strategies for refning AI-enhanced human behavior analysis and integrating emerging AI technologies into the study of human behavior in design settings.