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SNAP: Sensor Aid Prototyping Tool for Designers

Published: 18 April 2015 Publication History

Abstract

Prototyping is essential part in the initial state of the software development process, especially for design exploration. However, most designers feel it difficult to prototype dynamic interactions rather than designing static UIs, since they do not have sufficient programming experiences. Moreover, it is even harder to communicate regarding interactions with developers. To address this issue, we presented a novel prototyping tool, called SNAP, which enables designers to implement sensor-based interactions easily. Our concept was drawn from a natural language programming and microinteraction model. Hence, it does not require any programming skills or schemes. We believe that our approach will shed a light on prototyping works in the design process.

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Cited By

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  • (2022)Iteratively Designing Gesture Vocabularies: A Survey and Analysis of Best Practices in the HCI LiteratureACM Transactions on Computer-Human Interaction10.1145/350353729:4(1-54)Online publication date: 5-May-2022

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Published In

cover image ACM Conferences
CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems
April 2015
2546 pages
ISBN:9781450331463
DOI:10.1145/2702613
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2015

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Author Tags

  1. interaction design
  2. internet of things
  3. mobile application
  4. prototyping
  5. sensor-aaided

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  • Work in progress

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CHI '15
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CHI '15: CHI Conference on Human Factors in Computing Systems
April 18 - 23, 2015
Seoul, Republic of Korea

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CHI EA '15 Paper Acceptance Rate 379 of 1,520 submissions, 25%;
Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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Cited By

View all
  • (2022)Iteratively Designing Gesture Vocabularies: A Survey and Analysis of Best Practices in the HCI LiteratureACM Transactions on Computer-Human Interaction10.1145/350353729:4(1-54)Online publication date: 5-May-2022

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