Analogy mining for specific design needs

Karni Gilon; Joel Chan; Felicia Y. Ng; Hila Lifshitz-Assaf; Aniket Kittur; Dafna Shahaf

doi:10.1145/3173574.3173695

Analogy mining for specific design needs

Karni Gilon, Joel Chan, Felicia Y. Ng, Hila Lifshitz-Assaf, Aniket Kittur, Dafna Shahaf

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

29 Scopus citations

Abstract

Finding analogical inspirations in distant domains is a powerful way of solving problems. However, as the number of inspirations that could be matched and the dimensions on which that matching could occur grow, it becomes challenging for designers to find inspirations relevant to their needs. Furthermore, designers are often interested in exploring specific aspects of a product- for example, one designer might be interested in improving the brewing capability of an outdoor coffee maker, while another might wish to optimize for portability. In this paper we introduce a novel system for targeting analogical search for specific needs. Specifically, we contribute an analogical search engine for expressing and abstracting specific design needs that returns more distant yet relevant inspirations than alternate approaches.

Original language	American English
Title of host publication	CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
Subtitle of host publication	Engage with CHI
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450356206, 9781450356213
DOIs	https://doi.org/10.1145/3173574.3173695
State	Published - 20 Apr 2018
Event	2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 - Montreal, Canada Duration: 21 Apr 2018 → 26 Apr 2018

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings
Volume	2018-April

Conference

Conference	2018 CHI Conference on Human Factors in Computing Systems, CHI 2018
Country/Territory	Canada
City	Montreal
Period	21/04/18 → 26/04/18

Bibliographical note

Funding Information:
The authors thank the anonymous reviewers for their helpful feedback, and Amir Shapira for his helpful insights into the design process. Dafna Shahaf is a Harry & Abe Sherman assistant professor. This work was supported by NSF grants CHS-1526665, IIS-1149797, IIS-1217559, Carnegie Mellon's Web2020 initiative, Bosch, Google, ISF grant 1764/15, Alon grant, and the HUJI Cyber Security Research Center in conjunction with the Israel National Cyber Bureau in the Prime Minister's Office.

Publisher Copyright:
© 2018 ACM.

Keywords

Abstraction
Computational analogy
Creativity
Focus
Innovation
Inspiration
Product dimensions
Text embedding

Access to Document

10.1145/3173574.3173695

Cite this

Gilon, K., Chan, J., Ng, F. Y., Lifshitz-Assaf, H., Kittur, A., & Shahaf, D. (2018). Analogy mining for specific design needs. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI (Conference on Human Factors in Computing Systems - Proceedings; Vol. 2018-April). Association for Computing Machinery. https://doi.org/10.1145/3173574.3173695

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abstract = "Finding analogical inspirations in distant domains is a powerful way of solving problems. However, as the number of inspirations that could be matched and the dimensions on which that matching could occur grow, it becomes challenging for designers to find inspirations relevant to their needs. Furthermore, designers are often interested in exploring specific aspects of a product- for example, one designer might be interested in improving the brewing capability of an outdoor coffee maker, while another might wish to optimize for portability. In this paper we introduce a novel system for targeting analogical search for specific needs. Specifically, we contribute an analogical search engine for expressing and abstracting specific design needs that returns more distant yet relevant inspirations than alternate approaches.",

keywords = "Abstraction, Computational analogy, Creativity, Focus, Innovation, Inspiration, Product dimensions, Text embedding",

author = "Karni Gilon and Joel Chan and Ng, {Felicia Y.} and Hila Lifshitz-Assaf and Aniket Kittur and Dafna Shahaf",

note = "Funding Information: The authors thank the anonymous reviewers for their helpful feedback, and Amir Shapira for his helpful insights into the design process. Dafna Shahaf is a Harry & Abe Sherman assistant professor. This work was supported by NSF grants CHS-1526665, IIS-1149797, IIS-1217559, Carnegie Mellon's Web2020 initiative, Bosch, Google, ISF grant 1764/15, Alon grant, and the HUJI Cyber Security Research Center in conjunction with the Israel National Cyber Bureau in the Prime Minister's Office. Publisher Copyright: {\textcopyright} 2018 ACM.; 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018 ; Conference date: 21-04-2018 Through 26-04-2018",

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doi = "10.1145/3173574.3173695",

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Gilon, K, Chan, J, Ng, FY, Lifshitz-Assaf, H, Kittur, A & Shahaf, D 2018, Analogy mining for specific design needs. in CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Conference on Human Factors in Computing Systems - Proceedings, vol. 2018-April, Association for Computing Machinery, 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018, Montreal, Canada, 21/04/18. https://doi.org/10.1145/3173574.3173695

Analogy mining for specific design needs. / Gilon, Karni; Chan, Joel; Ng, Felicia Y. et al.
CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems: Engage with CHI. Association for Computing Machinery, 2018. (Conference on Human Factors in Computing Systems - Proceedings; Vol. 2018-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Analogy mining for specific design needs

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Bibliographical note

Keywords

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