A Spatially Explicit Classification Model for Affective Computing in Built Environments
Document Type
Conference Paper
Journal/Book Title/Conference
2017 Seventh International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)
Publisher
IEEE
Location
San Antonio, TX
Publication Date
2-1-2018
First Page
100
Last Page
104
Abstract
We explore a wearables and sensors centric approach for collecting data in built environments. In addition, we propose a design methodology as a focus to assist in the design of applications and experiments for affective computing. The implications of such systems is to aid in the reproducibility of experiments and better intelligent systems.
Recommended Citation
Yates, Heath; Chamberlain, Brent C.; and Hsu, William H., "A Spatially Explicit Classification Model for Affective Computing in Built Environments" (2018). Landscape Architecture and Environmental Planning Faculty Publications. Paper 150.
https://digitalcommons.usu.edu/laep_facpub/150
Comments
Brent Chamberlain was at Kansas State University during the time of this research.