Visualizing complex building analysis data to increase comprehension of public audience

This research study focuses on the communication and transmission of technical and industrial analytic data, developed by our research partner, ioAirFlow. Because the current recipients of ioAirFlow data reports are not always data- or engineering-trained professionals, complex data is not often understood or acted upon. This research internship focuses on ways in which to develop information design to communicate ioAirFlow’s data more effectively and efficiently. Using design methodologies of mixed methods and action research, we will develop information design and data visualization as a means to communicate, inform, visually analyze or compare, and prototype scenarios and challenges within ioAirFlow systems. Information design and data visualization can generate greater readability and accessibility in data interpretation and analysis. Communicating the ill health and inefficiencies of building environments through information design creates agency for its users or receivers, allowing building inhabitants to better understand their own health in relation to air quality.

Faculty Supervisor:

Bonne Zabolotney

Student:

Partner:

ioAirFlow

Discipline:

Sociology

Sector:

Professional, scientific and technical services

University:

Emily Carr University of Art + Design

Program: