Date of Award

Spring 5-30-2017

Document Type

Thesis

Degree Name

Master of Industrial Design

Department

Industrial Design

First Advisor

Tim Maly

Second Advisor

Brian Kane

Third Advisor

Ryan Bardsley

Abstract

Over the past decade, rapid advancement in the fields of artificial intelligence and machine learning has led to an abrupt shift in the skills we designate as “human” and the skills we delegate to machines. This shift can be characterized, to some degree, by the transformation of tacit knowledge–knowledge that is difficult to transfer or quantify, into explicit knowledge–a language that machines can both understand and act on. An adjacent surge in democratized education platforms has made it possible for anyone to begin learning a new skill. Mastering a skill however, especially hands-on skills, often requires a level of tacit knowledge and expertise that a static YouTube tutorial cannot deliver. This thesis explores a future in which tools act as educators–a medium to transmit the tacit knowledge of expert tool users to novices. Experiments with homemade flamethrowers, exoskeleton gloves, and a hacked pottery wheel have helped me draft a framework for successfully embedding digital augmentation into tools while avoiding the pitfalls of digital dependency.

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Share

COinS
 
 

To view the content in your browser, please download Adobe Reader or, alternately,
you may Download the file to your hard drive.

NOTE: The latest versions of Adobe Reader do not support viewing PDF files within Firefox on Mac OS and if you are using a modern (Intel) Mac, there is no official plugin for viewing PDF files within the browser window.