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Current Computer-Aided Design (CAD) tools lack proper support for guiding novice users towards designs ready for fabrication. We propose Shape Structuralizer (SS), an interactive design support system that repurposes surface models into structural constructions using rods and custom 3Dprinted joints. Shape Structuralizer embeds a recommendation system that computationally supports the user during design ideation by providing design suggestions on local refinements of the design. This strategy enables novice users to choose designs that both satisfy stress constraints as well as their personal design intent. The interactive guidance enables users to repurpose existing surface mesh models, analyze them in-situ for stress and displacement constraints, add movable joints to increase functionality, and attach a customized appearance. This also empowers novices to fabricate even complex constructs while ensuring structural soundness. We validate the Shape Structuralizer tool with a qualitative user study where we observed that even novice users were able to generate a large number of structurally safe designs for fabrication.
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Designing and Evaluating Interactive Tools for a Robot Hand Collection
Recent robot collections provide various interactive tools for users to explore and analyze their datasets. Yet, the literature lacks data on how users interact with these collections and which tools can best support their goals. This late-breaking report presents preliminary data on the utility of four interactive tools for accessing a collection of robot hands. The tools include a gallery and similarity comparison for browsing and filtering existing hands, a prediction tool for estimating user impression of hands (e.g., humanlikeness), and a recommendation tool suggesting design features (e.g., number of fingers) for achieving a target user impression rating. Data from a user study with 9 novice robotics researchers suggest the users found the tools useful for various tasks and especially appreciated the gallery and recommendation functionalities for understanding the complex relationships of the data. We discuss the results and outline future steps for developing interface design guidelines for robot collections.
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- Award ID(s):
- 2301335
- PAR ID:
- 10539047
- Publisher / Repository:
- Association for Computing Machinery
- Date Published:
- ISBN:
- 9781450399708
- Page Range / eLocation ID:
- 328-332
- Subject(s) / Keyword(s):
- robot collections, robot hands, interface design, user experience, user study
- Format(s):
- Medium: X
- Location:
- Stockholm, Sweden
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1145/3568294.3580099
