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Human-Robot Collaborative Design

File(s)
Law_cornellgrad_0058F_13701.pdf (9.8 MB)
Permanent Link(s)
https://doi.org/10.7298/y2s4-b276
https://hdl.handle.net/1813/114676
Collections
Cornell Theses and Dissertations
Author
Law, Matthew
Abstract

Robots have unusual potential to interactively support human design thinking. As physical and social actors, robots can be programmed to directly engage in the kind of materially-situated, social design conversations that typify human design activity. As computational agents, robots can also inject perspectives, knowledge, and approaches to complement human design thinking. In this dissertation, we make this argument from theory and prior work and describe observations from two primary and two supporting studies of what robots designing with humans might look like. The first primary study examines how a human and a robot might collaboratively design a solution to a problem, while the second examines how they might define design problems together. We reflect on insights across these two studies and propose next steps aimed at isolating the importance of social and physical interaction in this context. We conclude by defining key questions at the core of the study and pursuit of human-robot collaborative design (HRCD).

Description
219 pages
Date Issued
2023-08
Keywords
Design
•
Design Support Systems
•
Human-Robot Collaboration
•
Human-Robot Interaction
Committee Chair
Hoffman, Guy
Committee Member
Jung, Malte
Zhang, Cheng
Degree Discipline
Information Science
Degree Name
Ph. D., Information Science
Degree Level
Doctor of Philosophy
Rights
Attribution-NonCommercial-NoDerivatives 4.0 International
Rights URI
https://creativecommons.org/licenses/by-nc-nd/4.0/
Type
dissertation or thesis
Link(s) to Catalog Record
https://newcatalog.library.cornell.edu/catalog/16219405

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