scholarly journals The power of labels: Conceptual similarity influences face identity decisions

2021 ◽  
Vol 21 (9) ◽  
pp. 2377
Author(s):  
Tal Honig ◽  
Galit Yovel
Keyword(s):  
Conceptual Similarity ◽  
Face Identity

Conceptual similarity matters for joint action

2013 ◽  
Author(s):  
Anna Stenzel ◽  
Thomas Dolk ◽  
Roberta Sellaro ◽  
Lorenza Colzato ◽  
Bernhard Hommel ◽  
...  
Keyword(s):  
Joint Action ◽  
Conceptual Similarity

scholarly journals Face identity disentanglement via latent space mapping

2020 ◽  
Vol 39 (6) ◽  
pp. 1-14
Author(s):  
Yotam Nitzan ◽  
Amit Bermano ◽  
Yangyan Li ◽  
Daniel Cohen-Or
Keyword(s):  
Space Mapping ◽  
Face Identity ◽  
Latent Space

scholarly journals The role of familiarity in three-dimensional view-transferability of face identity adaptation

2007 ◽  
Vol 47 (4) ◽  
pp. 525-531 ◽  
Author(s):  
Fang Jiang ◽  
Volker Blanz ◽  
Alice J. O’Toole
Keyword(s):  
Three Dimensional ◽  
Face Identity

scholarly journals Creative exploration using topic-based bisociative networks

2018 ◽  
Vol 4 ◽  
Author(s):  
Faez Ahmed ◽  
Mark Fuge
Keyword(s):  
Idea Generation ◽  
Information Network ◽  
Large Collection ◽  
Computational Framework ◽  
Conceptual Similarity ◽  
Cross Domain ◽  
Unstructured Text ◽  
Collaborative Community ◽  
Creative Solutions ◽  
Multiple Domains

Bisociative knowledge discovery is an approach that combines elements from two or more ‘incompatible’ domains to generate creative solutions and insight. Inspired by Koestler’s notion of bisociation, in this paper we propose a computational framework for the discovery of new connections between domains to promote creative discovery and inspiration in design. Specifically, we propose using topic models on a large collection of unstructured text ideas from multiple domains to discover creative sources of inspiration. We use these topics to generate a Bisociative Information Network – a graph that captures conceptual similarity between ideas – that helps designers find creative links within that network. Using a dataset of thousands of ideas from OpenIDEO, an online collaborative community, our results show usefulness of representing conceptual bridges through collections of words (topics) in finding cross-domain inspiration. We show that the discovered links between domains, whether presented on their own or via ideas they inspired, are perceived to be more novel and can also be used as creative stimuli for new idea generation.

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