Explore the fascinating world of human behavior modeling through mobile data in this insightful lecture by Dr. Nuria Oliver. Delve into groundbreaking projects that leverage mobile phone data to infer personality traits, financial responsibility, boredom, and even predict crime patterns. Discover how mobile devices have become powerful sensors of human activity on a large scale, offering unprecedented insights into individual and collective behaviors. Learn about the opportunities and challenges associated with building data-driven models of human behavior, and gain valuable knowledge in computational social sciences and human-computer interaction. Examine various aspects of the research, including the attention economy, boredom detection methodologies, crime hotspot analysis, and the integration of diverse data sources such as crime statistics and census information. Gain insights into the performance and temporal scale considerations of these innovative modeling approaches, and understand their potential applications in improving people's quality of life through technology.
Towards Human Behavior Modelling from Mobile Data - Dr. Nuria Oliver
Alan Turing Institute via YouTube
Overview
Syllabus
Intro
Attention Economy
Boredom
Detecting boredom
Methodology
Application scenarios
Crime hotspots
Jane Jacobs
Data Sources
Crime Data
Census Data
Results
Performance
Temporal Scale
Taught by
Alan Turing Institute