Exploring Application Domains for Computational Creativity

We are motivated by the recent application of computational creativity in the culinary domain. Given the increasing commercial importance of data-driven computation, we explore and provide unified framework in three new domains to which computational creativity can be applied and yield business value. The three domains are travel, fashion, and science. Reflecting on the framework characterization, we identified two properties common across these domains, related to the creative space and codified domain knowledge. We believe that these properties may have value as sufficient, but not necessary, conditions to identify domains suitable for industrializing computational creativity. We are working towards finding tight properties common across different domains as well as ones that exclude domains.

[1]  Dan Ventura,et al.  Soup Over Bean of Pure Joy: Culinary Ruminations of an Artificial Chef , 2012, ICCC.

[2]  David Harel,et al.  Predicting Odor Pleasantness with an Electronic Nose , 2010, PLoS Comput. Biol..

[3]  S. Atkinson.  Explaining Creativity: The Science of Human Innovation , 2007 .

[4]  Simon Colton,et al.  Computational Creativity: The Final Frontier? , 2012, ECAI.

[5]  Andrey Rzhetsky,et al.  Tradition and Innovation in Scientists’ Research Strategies , 2013, ArXiv.

[6]  D. Swanson.  Migraine and Magnesium: Eleven Neglected Connections , 2015, Perspectives in biology and medicine.

[7]  Henry Lieberman,et al.  What am I gonna wear?: scenario-oriented recommendation , 2007, IUI '07.

[8]  Ignacio Rodríguez del Bosque,et al.  Tourist satisfaction a cognitive-affective model , 2008 .

[9]  Yuusuke Kawakita,et al.  Personalized Clothing-Recommendation System Based on a Modified Bayesian Network , 2012, 2012 IEEE/IPSJ 12th International Symposium on Applications and the Internet.

[10]  Hui Xiong,et al.  A Cocktail Approach for Travel Package Recommendation , 2014, IEEE Transactions on Knowledge and Data Engineering.

[11]  Kush R. Varshney,et al.  A Big Data Approach to Computational Creativity , 2013, ArXiv.

[12]  Cong Yu,et al.  Automatic construction of travel itineraries using social breadcrumbs , 2010, HT '10.

[13]  G. Shepherd.  Smell images and the flavour system in the human brain , 2006, Nature.

[14]  W. Myers,et al.  Atypical Combinations and Scientific Impact , 2013 .

[15]  Lav R. Varshney,et al.  Computational creativity for culinary recipes , 2014, CHI Extended Abstracts.

[16]  Jacob G. Foster,et al.  Metaknowledge , 2011, Science.

[17]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[18]  Albert-László Barabási,et al.  Flavor network and the principles of food pairing , 2011, Scientific reports.