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Analogy Mining for Specific Design Needs

Authors:

Hila Liifshitz-Assaf,

Dafna ShahafAuthors Info & Claims

CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Paper No.: 121, Pages 1 - 11

https://doi.org/10.1145/3173574.3173695

Published: 19 April 2018 Publication History

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.

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Cited By

Srinivasan AChan J(2024)Improving Selection of Analogical Inspirations through Chunking and RecombinationProceedings of the 16th Conference on Creativity & Cognition10.1145/3635636.3656207(374-397)Online publication date: 23-Jun-2024
https://dl.acm.org/doi/10.1145/3635636.3656207
Kang HLin DMartelaro NKittur AChen YHong M(2024)BioSpark: An End-to-End Generative System for Biological-Analogical Inspirations and IdeationExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3651035(1-13)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3651035
Lee SLaw MHoffman G(2024)When and How to Use AI in the Design Process? Implications for Human-AI Design CollaborationInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2353451(1-16)Online publication date: 22-May-2024
https://doi.org/10.1080/10447318.2024.2353451
Show More Cited By

Index Terms

Analogy Mining for Specific Design Needs
1. Human-centered computing
  1. Collaborative and social computing

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cover image ACM Conferences

CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

April 2018

8489 pages

ISBN:9781450356206

DOI:10.1145/3173574

General Chairs:
Regan Mandryk
University of Saskatchewan, Canada
,
Mark Hancock
University of Waterloo, Canada
,
Program Chairs:
Mark Perry
Brunel University London, UK
,
Anna Cox
University College London, UK

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 19 April 2018

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ISF
HUJI Cyber Security Research Center in conjunction with the Israel National Cyber Bureau in the Prime Minister's Office
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April 21 - 26, 2018

Montreal QC, Canada

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CHI '18 Paper Acceptance Rate 666 of 2,590 submissions, 26%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Srinivasan AChan J(2024)Improving Selection of Analogical Inspirations through Chunking and RecombinationProceedings of the 16th Conference on Creativity & Cognition10.1145/3635636.3656207(374-397)Online publication date: 23-Jun-2024
https://dl.acm.org/doi/10.1145/3635636.3656207
Kang HLin DMartelaro NKittur AChen YHong M(2024)BioSpark: An End-to-End Generative System for Biological-Analogical Inspirations and IdeationExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3651035(1-13)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613905.3651035
Lee SLaw MHoffman G(2024)When and How to Use AI in the Design Process? Implications for Human-AI Design CollaborationInternational Journal of Human–Computer Interaction10.1080/10447318.2024.2353451(1-16)Online publication date: 22-May-2024
https://doi.org/10.1080/10447318.2024.2353451
Desai STwidale M(2023)Metaphors in Voice User Interfaces: A Slippery FishACM Transactions on Computer-Human Interaction10.1145/360932630:6(1-37)Online publication date: 25-Sep-2023
https://dl.acm.org/doi/10.1145/3609326
Kim JSuh SChilton LXia H(2023)Metaphorian: Leveraging Large Language Models to Support Extended Metaphor Creation for Science WritingProceedings of the 2023 ACM Designing Interactive Systems Conference10.1145/3563657.3595996(115-135)Online publication date: 10-Jul-2023
https://dl.acm.org/doi/10.1145/3563657.3595996
Bhavya BXiong JZhai C(2023)CAM: A Large Language Model-based Creative Analogy Mining FrameworkProceedings of the ACM Web Conference 202310.1145/3543507.3587431(3903-3914)Online publication date: 30-Apr-2023
https://dl.acm.org/doi/10.1145/3543507.3587431
Kang HQian XHope TShahaf DChan JKittur A(2022)Augmenting Scientific Creativity with an Analogical Search EngineACM Transactions on Computer-Human Interaction10.1145/353001329:6(1-36)Online publication date: 16-Nov-2022
https://dl.acm.org/doi/10.1145/3530013
Li YZhang YCapra RElsweiler DKruschwitz ULudwig B(2022)Analyzing information resources that support the creative processProceedings of the 2022 Conference on Human Information Interaction and Retrieval10.1145/3498366.3505817(180-190)Online publication date: 14-Mar-2022
https://dl.acm.org/doi/10.1145/3498366.3505817
Hope TTamari RHershcovich DKang HChan JKittur AShahaf D(2022)Scaling Creative Inspiration with Fine-Grained Functional Aspects of IdeasProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517434(1-15)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517434
Gero KLiu VHuang SLee JChilton L(2021)What Makes Tweetorials Tick: How Experts Communicate Complex Topics on TwitterProceedings of the ACM on Human-Computer Interaction10.1145/34795665:CSCW2(1-26)Online publication date: 18-Oct-2021
https://dl.acm.org/doi/10.1145/3479566
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