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Title: QuickProbe: Quick Physical Prototyping-in-Context Using Physical Scaffolds in Digital Environments
Abstract In this paper, we introduce a novel prototyping workflow, QuickProbe, that enables a user to create quick-and-dirty prototypes taking direct inspiration from existing physical objects. Our workflow is inspired by the notion of prototyping-in-context using physical scaffolds in digital environments. To achieve this we introduce a simple kinesthetic-geometric curve representation wherein we integrated the geometric representation of the curve with the virtual kinesthetic feedback. We test the efficacy of this kinesthetic-geometric curve representation through a qualitative user study conducted with ten participants. In this study, users were asked to generate wire-frame curve networks on top of the physical shapes by sampling multiple control points along the surface. We conducted two different sets of experiments in this work. In the first set of experiments, users were tasked with tracing the physical shape of the object. In the second set of experiments, the goal was to explore different artistic designs that the user could draw using the physical scaffolding of the shapes. Through our user studies, we showed the variety of designs that the users were able to create. We also evaluated the similarities and differences we observed between the two different sets of experiments. We further discuss the user feedback and the possible design scenarios where our QuickProbe workflow can be used.  more » « less
Award ID(s):
2008800
NSF-PAR ID:
10413000
Author(s) / Creator(s):
; ; ;
Date Published:
Journal Name:
ASME 2022 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
Volume:
2
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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