The focus of the work in this paper is the evaluation of a model of human decision making relative to experimental data. In sequential two-alternative forced choice decision tasks,...
Caleb Woodruff, Kristi A. Morgansen, Linh Vu, Damo...
— A method for segmentation and recognition of human body behavior data is proposed. Recognition of human body movements is getting larger interests in robotic research field, s...
People detection and tracking is a key issue for social robot design and effective human robot interaction. This paper addresses the problem of detecting people with a mobile robo...
This paper presents an integrative agent model for adaptive human-aware information presentation. Within the agent model, meant to support humans in demanding tasks, a domain model...
Informational Macrodynamics (IMD) presents a unified informational systemic approach with common information language for modeling, analysis and optimization of a variety of inter...