Date of Award
Spring 5-30-2017
Document Type
Thesis
Degree Name
Master of Industrial Design
Department
Industrial Design
First Advisor
Charles Cannon
Second Advisor
Joy Ko
Third Advisor
Ryan Scott Bardsley
Abstract
Technologies today claim to be capable of detecting human emotion. When such technologies appear on our everyday objects, how will our interactions be like? Can these objects know when we are frustrated with them? Wouldn’t that radically change the field of user experience design? However, would people be scared of such capability?
Born from this curiosity, this thesis project is a speculative and an experimental approach that explores the overlap of the fields of User Experience Design, Affective Technologies, and Artificial Intelligence. This exploration is aimed at investigating its need and illustrating a newly designed adaptive nature of domestic appliances.
The purpose of this book is to showcase the range of collaborative explorations that led to the formulation the theory - “Emotional Intelligence of Objects.”
Recommended Citation
Zope, Lokesh, "The emotional intelligence of machines" (2017). Masters Theses. 133.
https://digitalcommons.risd.edu/masterstheses/133
Creative Commons License
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