YoVDO

Environmental Factors in Indoor Navigation Based on Real-World Trajectories of Blind Users

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

ACM SIGCHI Courses Regression Analysis Courses

Course Description

Overview

Explore a conference talk that delves into the environmental factors affecting indoor navigation for blind users, based on real-world trajectory data. Analyze two proposed measures of path-following behavior: deviation from optimal route and trajectory variability. Discover the relationships between these measures and environmental elements, route characteristics, localization errors, and instructional cues through regression analysis. Gain insights into path-following behavior for turn-by-turn indoor navigation and understand the implications for future interaction design. Learn about automated and scalable methods for calculating and reporting environmental factors and route properties, emphasizing their importance in interpreting and comparing results across studies. Recorded at the ACM CHI Conference on Human Factors in Computing Systems in Montréal, Canada, this 21-minute presentation offers valuable knowledge for researchers and developers working on indoor localization technologies to enhance the quality of life for blind individuals.

Syllabus

Environmental Factors in Indoor Navigation Based on Real-World Trajectories of Blind Users


Taught by

ACM SIGCHI

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